RemoteHunter is your dedicated AI job search assistant, turning the job hunt from a slow, individual effort into a quicker, smarter, and guided experience by streamlining each step of the process and speeding up your path to the right career opportunities.

Industry: Software Development
Company Size: 11-50 employees

RemoteHunter

Savvy Admin PROD

1. About Our Client:The organization operates within the technology and IT services industry, focusing on driving AI transformation across various business lines. It addresses the challenge of integrating advanced AI capabilities into enterprise operations through agile teams and innovative architectural frameworks. With over 14,000 employees globally, substantial revenue, and a commitment to social contributions, the program maintains a strong presence and influence in the technology sector. It has been recognized on a global scale for workplace excellence and industry achievements.

2. About the Opportunity:The AI Architect will lead the design and maintenance of the architectural framework supporting the organization’s AI initiatives. This role is crucial to ensuring that AI solutions are scalable, secure, and consistent across multiple agile teams. The position involves providing technical leadership, collaborating with cross-functional stakeholders, and fostering innovation in AI architecture. The role’s impact extends to shaping the future of AI within the organization and enhancing business operations through strategic technology guidance.

3. Responsibilities:• Develop and maintain the architectural blueprint for AI agent development and deployment

• Serve as the architectural expert guiding agile teams in technical decision-making

• Collaborate with platform engineers to design scalable, secure infrastructure using Infrastructure as Code (IaC)

• Translate business requirements into technical solutions through cross-functional partnership

• Enforce architectural governance through design reviews, audits, and feedback

• Evaluate emerging AI technologies and recommend adoption to maintain innovation

• Provide technical mentorship to engineers, promoting continuous learning and excellence

4. Requirements:• Minimum 8 years of software development experience with at least 3 years in application or enterprise architecture focused on AI, machine learning, or data-intensive applications

• Expertise in cloud-native architectures and AI/ML lifecycle management including MLOps

• Extensive experience with Azure and Google Cloud Platform (GCP)

• Proficiency with data lakehouse architectures, specifically Databricks

• Hands-on experience with IaC tools such as Terraform, Azure Bicep, or Pulumi

• Strong programming skills in Java and Python; familiarity with React is a plus

• Excellent communication and interpersonal skills to influence and lead teams without direct authority

• Strong analytical and strategic problem-solving abilities

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

5. Pay Range and Compensation Package:• $200,000 to $210,000 base salary annually plus variable incentive bonus

Equal Opportunity Statement:Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:RemoteHunter is not the Employer of Record (EOR) for this role. Our purpose in this opportunity is to connect exceptional candidates with leading employers. We help job seekers worldwide discover roles that match their goals and guide them to complete their full application directly through the hiring company’s career page or ATS.

AI Architect

Siri InfoSolutions is a private equity consortium firm that specializes in providing IT staffing services to Fortune 500 clients throughout the United States. 

We believe that Siri InfoSolutions is an exceptional company, comprised of individuals who take pride in their work and the solutions they offer. By gaining insights into what drives our specialty industries, engaging with our communities both professionally and personally, adhering to a disciplined process for identifying quality candidates, collaborating with employers to understand their core business and hiring needs, and delivering outstanding service, we achieve remarkable results for everyone involved. 
 
Professional Services: 
- Contract Staffing 
- Direct placements 
- Bench Sales 
- Application Development
- Enterprise Resource Planning
- Data Warehousing 
- Customer Relationship Management

Siri InfoSolutions offers services to a diverse range of clients across various sectors, including banking, financial services, healthcare, human resources, telecommunications, insurance, hospitality, retail and distribution, and manufacturing. We cater to multinational customers.

Siri InfoSolutions serves multinational organizations and emphasizes that the true measure of service quality is found in the skills, performance, and dedication of its employees. We are committed to placing only top-tier professionals—individuals who meet not only technical requirements but also possess the drive and capability to make an immediate impact.

Industry: IT Services and IT Consulting
Company Size: 501-1,000 employees

Siri InfoSolutions, Inc.

**Job Title: GEN AI Architect and AI Coach **

**Location: Remote **

**Job Type: Permanent Hire **

**Job Description: **

**Must Have Technical/Functional Skills **

- Strong hands-on background in GenAI and enterprise architecture

- Deep understanding of LLM, RAG, Agentic AI, and deployment patterns

- Experience coaching teams through AI adoption and transformation

- Ability to translate business goals into scalable AI solutions

- Strong stakeholder communication and technical leadership

**Roles & Responsibilities **

- Define the overall GenAI reference architecture (LLM, RAG, Agentic AI, data, security)

- Establish standards for prompt design, RAG patterns, evaluation, testing, and deployment

- Guide and mentor GenAI and Agentic AI engineers on design and implementation choices

- Drive architecture and design reviews; ensure reusability across regions and teams

- Define governance, guardrails, and responsible AI practices

- Act as the bridge between business stakeholders and technical teams

GenAI Architect

Nityo Infotech (Nityo) is a Global Technology Solutions and Services organisation. Headquartered in US with deep imprints in LATAM, APAC, EUROPE/CIS & MIDDLE EAST & AFRICA.     

Nityo is powered by 31,000+ employees across 41 countries serving enterprises across industries like Banking, Insurance, Finance, FMCG, Hi-Tech start-ups, Government enterprises, Pharmaceuticals, Oil & Gas, Agriculture and more.

Through Nityo's services division, we have empowered numerous brands in optimising cost through Managed Services as well as outsourcing model.

Our spectrum of services are broad, deep and structured around Nityo’s unique “RIG” framework; Run, Innovate and Grow.

Nityo's portfolio as well as partner companies offer a unique mix of solution's ranging from Digital Lending platforms, Anti-money laundering solutions, AI/ML Based Chat Bots, Secret Management Platform, Enterprise Content Management Solutions, Tech Skill Assessment platform, Location Intelligence Solution, Call Center Automation Platform, Performance Management Platform , Cloud Migration and more. 

Nityo is trusted by over 3000+ Enterprises across various industries including Standard Chartered Bank, DBS, Prudential, UOB, Singapore Airlines, Telekom Malaysia, BNY Mellon, Watson's, Honeywell, Lazada, Gojek, Sony, HP, Singapore Tourism Board,Lexis Nexis and Sinarmas.

Industry: IT Services and IT Consulting
Company Size: 10,001+ employees

Nityo Infotech

**GenAI Architect **

**Location – New York city , NY **

**Job Type – Full Time **

**Job Description **

- We are seeking a Senior Generative AI Lead to define build and scale enterprise grade Generative AI solutions This role sits at the intersection of AI strategy hands-on engineering and business transformation You will lead GenAI initiatives end to end from ideation and architecture to production deployment while mentoring teams and shaping the organizations AI roadmap.

- This is a senior high impact role suited for a leader who can translate business problems into scalable GenAI solutions and guide stakeholders through responsible secure and value driven.

- AI adoption

Key Responsibilities.

- Strategy Leadership.

- Define and own the Generative AI strategy and roadmap aligned to business priorities.

- Identify highvalue use cases across domains such as operations risk compliance customer experience and engineering productivity.

- Act as a thought leader on GenAI advising senior stakeholders on capabilities limitations and ROI.

- Establish AI governance responsible AI practices and model risk controls for enterprise use.

- Architecture Solution Design.

- Design and oversee end to end GenAI architectures including.

- Large Language Models LLMs.

- Retrieval Augmented Generation RAG.

- Agentic and multi agent workflows.

- Lead decisions on model selection finetuning prompt engineering and inference optimization.

- Ensure solutions meet enterprise standards for scalability security performance and observability.

- Handson Development.

- Lead and review implementation of GenAI solutions using Python and modern ML frameworks.

- Build and deploy APIs and services integrating GenAI into existing platforms and workflows.

- Partner with cloud teams to deploy solutions on AWS Azure or GCP using managed GenAI services.

- Guide teams through productionization including monitoring evaluation and continuous improvement.

- Collaboration Enablement.

- Collaborate closely with Product Data Science Engineering Security Legal and Compliance teams.

- Mentor and upskill engineers data scientists and analysts in GenAI best practices.

- Establish reusable frameworks reference architectures and accelerators for GenAI adoption.

- Support client or internal stakeholder engagements including demos pilots and scaleout programs.

**Neeraj Kumar **

**Email: ****neeraj.jha@nityo.com **

The official page of the City of Midland, Texas.

Located in the heart of West Texas, the City of Midland is a thriving community recognized for its robust economy, rapid population growth, and welcoming spirit. As a hub of the Permian Basin, Midland plays a pivotal role in the global energy industry, driving innovation and investment that contribute to its dynamic and resilient economy.  

Midland’s strength lies in its diverse and growing population, which has expanded significantly over the past decade. This growth fuels opportunities for development, from expanding housing and infrastructure to enhancing cultural and recreational amenities. The city’s strategic location and economic vitality also attract businesses and professionals, making it a key player in Texas’ economic landscape.  

The city is guided by its strategic plan, focusing on fostering a strong economy, enhancing public safety, improving quality of life, and providing sound governance. Major redevelopment projects, cutting-edge infrastructure initiatives, and a commitment to community engagement position Midland as a forward-thinking city ready for the future.  

With a vibrant arts and culture scene, excellent schools, and a family-friendly environment, Midland offers the best of both tradition and progress. Follow us to stay updated on city initiatives, projects, and opportunities that continue to make Midland a remarkable place to live, work, and grow.

Industry: Government Administration
Company Size: 501-1,000 employees

City of Midland, Texas

The Database Administrator will assist in implementing, maintaining, and supporting databases across the organization, including traditional enterprise systems and emerging AI-enabled and analytics platforms. The ideal candidate should have a strong foundation in database management concepts, an awareness of modern data and AI architectures, and the ability to work in a team-oriented environment while proactively monitoring the health, performance, and reliability of citywide data systems.The items below are intended to describe the general nature and level of work performed by an individual assigned to this position. These are not intended to be an exhaustive list of all responsibilities, duties, and skills required of personnel so classified in this position. The position description is subject to change by the City as the needs of the City and requirements of the position change.

- Assist in the design and implementation of new databases and data platforms, including those supporting analytics, machine learning, and AI-enabled applications.

- Maintain and support existing databases by monitoring performance, system health, capacity, and availability across citywide environments; troubleshoot issues and implement optimizations.

- Backup and restore databases as needed, ensuring recoverability and resilience for mission-critical systems.

- Collaborate with other teams to ensure the integration of databases with enterprise applications, reporting systems, and AI/analytics pipelines.

-  Perform routine database maintenance tasks such as updates, patches, upgrades, and configuration tuning.

- Develop and maintain documentation on database systems, monitoring standards, health dashboards, and operational processes.

- Ensure data security and integrity by implementing appropriate access controls, auditing, and backup and recovery procedures.

- Provide data extraction and custom reporting as needed to support business intelligence, analytics, and AI initiatives.

- Work closely with the Programmer Analyst team and also provide backup to them when necessary.

- Participate in on-call rotation for after-hours support and issue resolution as needed.

- Subject to recall 24/7.

**Knowledge, Abilities, and Skills**

- Strong understanding of database concepts, SQL, and data modeling.

- Experience with database administration and management tools like Oracle, SQL Server, MySQL, or PostgreSQL.

- Knowledge of backup and recovery techniques and security best practices.

-  Understanding of database design principles, normalization, and data warehouse concepts.

- Familiarity with data pipelines, analytics platforms, and the role of databases in supporting AI and large language model (LLM)–driven applications.

-  Ability to monitor and assess database health, performance trends, capacity utilization, and system reliability across multiple environments.

- Excellent analytical, problem-solving, and communication skills.

- Ability to work independently and in a team environment.

- Strong organizational skills and attention to detail.

- Ability to work well under pressure and meet deadlines.

-  Ability to read and interpret technical materials.

- Strong written, oral, and interpersonal communication skills.

-  Willingness to learn and take on new challenges in evolving data and AI technologies.

---**Minimum Education and Experience**

- Bachelor’s degree in GIS, Computer Science, Information Systems, or a related field (Master’s degree preferred) or 4 years of experience can be substituted for the Bachelor's degree

-  Strong understanding of database management concepts and SQL.

- Familiarity with database management systems such as Oracle, SQL Server, or MySQL.

-  Knowledge of database backup and recovery procedures.

-  Esri technical certifications, Microsoft SQL certifications, CompTIA A+ or Tech+ preferred.

-  Valid Texas Driver’s License.

---**Physical and Environmental Conditions**

- Ability to sit, stand, and transport self from building to building

- Ability to kneel, crawl, climb, and twist for purposes of installing and maintaining equipment

-  Ability to lift and move computer equipment.

DBA/Data Analyst I

We provide recruitment, consulting and IT services for our clients, which focus on maximizing their revenue generation, enhancing business productivity and improving cost management.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

Saransh Inc

**Key Responsibilities**

**5–10 Years | Google CCAI Focus**

We’re hiring AI/ML Engineers across multiple levels to build and scale enterprise Machine Learning and Generative AI solutions with a strong emphasis on Google CCAI.

**What You’ll Do**

Build and deploy ML & GenAI models (Gemini, GPT‑4, Claude, etc.)

Develop end‑to‑end ML pipelines: data prep → training → deployment → monitoring

Integrate AI capabilities into enterprise platforms (e.g., Salesforce)

Ensure Responsible AI: fairness, privacy, compliance

Work with cross‑functional teams to deliver business‑ready AI solutions

(Senior/Lead) Mentor engineers and lead ML/GenAI architecture decision

**What We’re Looking For**

**Experience **: 5 –10 years in ML/AI engineering (level depends on experience)

Strong Python skills + ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain)

**Cloud Experience — GCP Preferred**

Hands‑on Generative AI / LLM experience

Enterprise integration experience (Salesforce is a plus)

**Google CCAI Experience Is Highly Preferred**

**Nice to Have**

CRM platform experience

Understanding of ethical/responsible AI

Agile/DevOps/MLOps experience

Team leadership or mentoring (for senior roles)

AI/ML Engineer

Mpower Plus is a trusted partner in strategic talent acquisition and staffing. Since 2011, Mpower Plus has developed strong alliances with global IT and non-IT firms, becoming a cornerstone in the industry. Our goal is to help our clients shape sustainable success and be prepared for ‘what’s next’.

Headquartered in the UK, our footprint spans key EU & Asian markets eg Benelux, DACH, India, Singapore, Korea and our recent focus on emerging markets eg Poland, Spain, Romania. With strategic locations, we have positioned ourselves to cater to diverse talent needs. At Mpower Plus, our expertise extends across multiple domains, ensuring top-notch staffing solutions for a variety of industries.

We bring more than just a network of candidates; we offer a strategic partnership built on deep industry expertise, a rigorous search methodology, and a global reach. Key factors that differentiate us are:

• Global Reach, Local Expertise: While we have a strong presence in major global markets, we have significantly expanded our operations in Eastern Europe, tapping into a growing pool of highly skilled technology and security leaders. Our ability to source candidates from diverse markets helps build truly global teams with local insights.
• Tailored Search Process: We take a consultative, tailored approach to each search, ensuring that we fully understand client’s unique needs and strategic goals before identifying the right candidates.
• Track Record of Success: Our firm has a proven track record of placing senior executives in highly specialized roles within digital transformation, cloud strategy, and cyber security. We pride ourselves on not just filling positions but on finding leaders who will drive lasting change and help you meet your business objectives.
• Cross-Industry Expertise: While we focus heavily on technology leadership, our experience spans across industries, allowing us to bring cross-industry insights and best practices to your leadership strategy.

Industry: Staffing and Recruiting
Company Size: 51-200 employees

MPower Plus

**Job Title: GenAI Data Modeling Architect (AI Architect – GenAI & RAG Platforms) **

**Location: ** Remote

**Experience: ** 12–15+ Years

**Role Overview **

We are seeking a highly experienced **AI Architect ** to define the architecture, data strategy, and governance framework for enterprise-scale **Generative AI (GenAI) ** and **Retrieval-Augmented Generation (RAG) ** platforms.

This is a senior, client-facing role responsible for designing end-to-end AI and data ecosystems, leading advanced **data modeling (Medallion Architecture) ** initiatives, and driving strategic AI transformation programs.

The role also involves acting as a **trusted advisor to clients **, identifying business opportunities, and delivering scalable AI/data solutions that drive enterprise growth.

**Key Responsibilities **

**1. Client Advisory & Business Development **

- Engage with client executives to understand business challenges and translate them into AI/data solutions

- Identify new opportunities for account growth and expansion

- Lead solution discussions, architecture proposals, and roadmap presentations

**2. AI Architecture & Data Modeling **

- Design enterprise-scale **GenAI and RAG architectures **

- Lead **Data Modeling initiatives ** using **Medallion Architecture (Bronze, Silver, Gold) **

- Extend and optimize **Silver Data Layer ** for AI, embedding, and analytics workloads

- Define end-to-end data lineage across ingestion, vectorization, and AI outputs

**3. Data Governance & Quality **

- Define enterprise data governance standards and AI usage policies

- Design frameworks for **data quality, drift detection, hallucination control, and trust scoring **

- Ensure compliance with regulatory and Responsible AI standards

**4. Technical Leadership **

- Provide architectural guidance and mentorship to engineering teams

- Collaborate with data engineering, platform, and security teams

- Define best practices for **MLOps, CI/CD, and observability ** in GenAI systems

**Required Skills & Experience **

- 12–15+ years experience as AI/Data Architect or Solution Architect

- Strong expertise in **Data Modeling & Data Engineering **

- Experience with **Medallion Architecture (Bronze, Silver, Gold) **

- Hands-on experience with **GenAI, RAG, and LLM-based systems **

- Strong background in **cloud platforms (Azure preferred, AWS/GCP acceptable) **

- Expertise in **AI governance, data lineage, and data quality frameworks **

- Experience in **API design, distributed systems, and MLOps **

- Strong client-facing and pre-sales consulting experience

- Knowledge of **Responsible AI, security, and compliance frameworks **

**Preferred Skills **

- Azure AI Services

- Vector databases (Pinecone, Weaviate, etc.)

- LangChain / LLM orchestration tools

- Data observability platforms

- Enterprise AI transformation programs

**Ideal Candidate Profile **

- Senior **AI/Data Architect / Principal Architect **

- Strong consulting background with client engagement experience

- Proven experience delivering production-grade GenAI systems

GenAI Data Modeling Architect (AI Architect – GenAI & RAG)

Job Title: AI Architect (GenAI & Data Modeling)

Location: US (Open)

Experience:

12–15+ years in AI/Data Architecture

Key Skills:

Strong experience in Generative AI (LLMs, RAG)

Expertise in Data Modeling & Data Architecture (Medallion – Bronze/Silver/Gold)

Hands-on with cloud platforms (Azure/AWS/GCP, Azure OpenAI preferred)

Proficiency in Python, SQL

Core Responsibilities:

Design enterprise GenAI and RAG architectures

Lead data modeling initiatives and optimize data for AI/analytics

Define data governance, lineage, and quality frameworks

Build scalable, production-grade AI systems

Additional Requirements:

Strong client-facing, consulting, and solutioning experience

Experience with MLOps, APIs, distributed systems

Knowledge of Responsible AI, security, and compliance

AI Architect (GenAI & Data Modeling)

We are a values-based professional technology services firm with over 150 years of combined experience in the technology industry. We’re deeply engaged in the successful pairing of the right people to the right projects, and we attribute our national presence to the referrals we’ve received through current and past clients and candidates. We believe that when people find the ideal setting to express their talents, the possibilities are infinite. This is why we exist. We are inspired and guided by a greater purpose than profit.

Find out more @ www.brixton.net.

Industry: IT Services and IT Consulting
Company Size: 51-200 employees

The Brixton Group, Inc.

~~*This role is only open to candidates who can work on a W-2 basis (no C2C or third-party candidates)* ~~

**Responsibilities **

- Define end-to-end AI and data architecture

- Translate business processes into scalable technical solutions

- Guide implementation across AI, data, and engineering teams

- Architect orchestration layers for AI systems

- Integrate enterprise-approved AI models into solutions

- Ensure scalability, modularity, and security across the architecture

- Design frameworks for model lifecycle and governance (e.g., model risk management)

- Collaborate with stakeholders across business and technology

**Qualifications **

**Required **

- Strong background in data engineering / data warehousing

- Experience with Snowflake, Databricks, or similar platforms

- Exposure to AI/ML tooling and workflows

- Ability to lead high-level design discussions

**Preferred **

- Experience in financial services or compliance

- Familiarity with model governance / ML lifecycle tools (e.g., MLflow)

~~*This role is only open to candidates who can work on a W-2 basis (no C2C or third-party candidates)* ~~

**Responsibilities **

- Build and manage data pipelines and transformations

- Design and maintain robust data infrastructure (data lakes, pipelines)

- Design ETL pipelines for both batch and real-time processing

- Support data movement from warehouse to downstream processes

- Ensure data quality, lineage, and reliability

- Partner closely with AI Architect on implementation

**Qualifications **

**Required **

- Experience with: Databricks, Snowflake, and PySpark

- Strong understanding of data engineering best practices

**Preferred **

- 5+ years in data engineering (flexible if strong hands-on experience)

- Ability to understand business context and data usage

Data Engineer

DMI is a leading global provider of digital services working at the intersection of the public and private sectors. With broad capabilities, including infrastructure support services, cybersecurity, cloud and application development, DMI provides on-site and remote support to clients within governments, healthcare, financial services, transportation, manufacturing, and other critical infrastructure sectors. DMI is continually recognized as a Top Workplace in both regional and national categories. To learn more, please visit www.dminc.com.

IMPORTANT NOTICE:  We have become aware of a cryptocurrency-based scam that misappropriates our logo and utilizes domain names similar to ours. Please be assured that DMI will never, on its own or through a staffing agency, solicit cryptocurrency or other deposits in connection with a job application or similar activity.  If you have been a victim of this scam or any other cyber crime, DMI encourages you to report it to the Internet Crime Complaint Center (IC3) at www.ic3.gov.

Industry: Information Technology & Services
Company Size: 1,001-5,000 employees

DMI (Digital Management, LLC)

DMI is a leading provider of digital services and technology solutions, headquartered in Tysons Corner, VA. With a focus on end-to-end managed IT services, including managed mobility, cloud, cybersecurity, network operations, and application development, DMI supports public sector agencies and commercial enterprises around the globe. Recognized as a Top Workplace, DMI is committed to delivering secure, efﬁcient, and cost-effective solutions that drive measurable results. Learn more at www.dminc.com

**About The Opportunity**

DMI, LLC is seeking a **Enterprise Architect **to join us. The Enterprise Architect will serve as a key embedded member of our clients Rural Health Transformation Program, providing enterprise-level architectural leadership. This role is responsible for ensuring end-to-end architectural coherence, governance integration, and sustainability across the State’s modernized health data ecosystem, with particular emphasis on data ingestion modernization, entity resolution, metadata-driven governance, DataOps maturity, and Agile/ADO integration.

The Enterprise Architect will work closely with RHTP leadership, State Enterprise Architects, program managers, and delivery teams to define and govern architectures that enable long-term modernization of the client’s statewide health data infrastructure.

**Duties And Responsibilities**

-  Enterprise Governance & Agile Integration

-

-  Design and maintain enterprise governance architecture covering data ingestion, entity resolution, metadata, lineage, data quality, SPC/DQ, and BI workflows.

-  Establish and manage Architecture Decision Records (ADRs) and Enterprise Architecture Decision Records (EADRs) tied to governance gates and evidence requirements.

-  Integrate architectural checkpoints into Azure DevOps (ADO) Agile delivery workflows.

-  Define Architecture Impact Assessments (AIAs) for schema changes, ingestion pattern updates, and ER rule modifications.

-  Create and govern Definition of Ready / Definition of Done standards aligned with compliance and auditability.

-  Lead architecture compliance reviews, release gates, and evidence validation.

-  DataOps & Ingestion Modernization

-

-  Define target-state architectures for modern data ingestion pipelines (batch, streaming, API-based).

-  Establish standardized ingestion patterns including resiliency, telemetry, SPC integration, and data quality enforcement.

-  Design and govern Ingestion Reliability Architecture, including MTTR and observability models.

-  Develop reusable DataOps patterns, templates, and onboarding accelerators to support embedded engineering and analytics teams.

-  Prevent architecture drift through proactive blocker-prevention patterns and schema evolution controls.

-  Entity Resolution & Data Governance Architecture

-

-  Lead architecture for entity resolution / master data management, including survivorship logic, match rules, and validation frameworks.

-  Define evidence-based ER metrics (precision, recall, trend analysis) and required artifacts.

-  Establish metadata and lineage quality frameworks, scoring models, and SLAs.

-  Ensure lineage propagation across ingestion → ER → semantic layer → BI.

-  Align governance tooling with statewide platforms and standards (e.g., Profisee, Purview, Data Lake services).

-  Microsoft Stack & ADO Integration

-

-  Architect integration across:

-  Azure DevOps (Boards, Repos, Pipelines, Wikis, Analytics)

-  SharePoint (knowledge management, evidence cataloging)

-  Power BI (executive and operational dashboards)

-  Power Automate (workflow automation and governance)

-  Microsoft Teams (collaboration and ADO integration)

-  Define ADO taxonomies and metadata models enabling end-to-end traceability from backlog → data → governance → release.

-  Design automation and workflow architectures for approvals, readiness checks, lineage validation, and compliance reporting.

-  Provide Azure resource hierarchy and cloud security architecture, including PHI/PII access models and federated governance.

-  Legacy Workflow Retirement & Transition

-

-  Inventory and assess legacy workflows and datasets.

-  Define transition-state architectures enabling phased migration.

-  Establish EA-governed sunsetting and decommissioning criteria, including lineage, metadata, and evidence thresholds.

-  Design cutover architectures with rollback strategies, observability, and risk mitigation.

-  Cross-Workstream EA Deliverables

-

-  Produce a unified Enterprise Architecture Blueprint spanning ingestion, ER, governance, DataOps, and BI.

-  Develop outcome-aligned technical roadmaps tied to sponsor strategic anchors.

-  Conduct architecture governance reviews and solution assessments.

-  Author EA runbooks, playbooks, and onboarding materials for engineers, analysts, and governance teams.

-  Create executive and stakeholder-facing deliverables, including:

-  Architecture briefings

-  Statewide alignment materials

-  “Day in the Life of Data” architecture narrative.

**Qualifications**

**Education and Years of Experience: **Bachelor’s of Science in Computer Science or related discipline

**Required Skills & Certifications**

-  Demonstrated experience working within a recognized architecture framework (e.g., TOGAF, FEAF).

-  Experience across at least two architecture domains:

-  Business Architecture

-  Application Architecture

-  Information/Data Architecture

-  Technology Architecture

-  Proven experience supporting enterprise-scale data platforms, preferably in healthcare or public sector environments.

-  Strong expertise in:

-  Data ingestion and DataOps architectures

-  Data governance, metadata, and lineage

-  Entity resolution / MDM concepts

-  Agile delivery and DevOps integration

-  Hands-on experience with:

-  Azure DevOps

-  SharePoint

-  Power BI

-  Microsoft Power Platform

-  Excellent written and verbal communication skills, including executive-level briefings.

-  Ability to operate effectively in a multi-stakeholder, matrixed environment.

-  Ability to manage shifting priorities and deadlines.

**Citizenship Status Required: ** H 1B

**Physical Requirements: ** None required for this position.

**Location: **Remote, US

**Working at DMI**

DMI Is a Diverse, Prosperous, And Rewarding Place To Work. Our Culture Is Shaped By Five Core Values That Guide How We Work, Grow, And Succeed Together

-  Do What’s Right – We lead with honesty and integrity.

-  Own the Outcome – We take responsibility and deliver.

-  Deliver for Our Customers – We are relentless about delivering value.

-  Think Bold, Act Smart – We innovate with purpose.

-  Win Together – We collaborate and celebrate our success.

These values aren’t just ideals—they show up in how we support every part of your well-being:

-  Convenience/Concierge – Virtual health visits, commuter perks, pet insurance, and entertainment discounts that make life easier.

-  Development – Annual performance reviews, tuition assistance, and internal career growth opportunities to help you thrive.

-  Financial – Generous 401(k) matches, life and disability insurance, and financial wellness tools to support your future.

-  Recognition – Annual awards, service anniversaries, referral bonuses, and peer-to-peer shoutouts that spotlight your achievements.

-  Wellness – Healthcare coverage, wellness programs, flu shots, and biometric screenings to support your health.

DMI values employees for their talents and contributions, and we take pride in helping our customers achieve their goals. Because when we live our values, we all win together.

-  No Agencies Please *****************

Applicants selected may be subject to a government security investigation and must meet eligibility requirements for access to classified information. US citizenship may be required for some positions.

**Job ID: ** 2026-28662

Enterprise Architect

MM Management Consultants: Your trusted partner for global executive search. With a strong presence in Canada, USA, UAE, Saudi Arabia, and India, we specialize in placing top-tier professionals across international borders.  Our leadership team's Fortune 500 experience ensures a deep understanding of your talent requirements. We serve clients across a range of regions, including the USA, UK, Africa, Middle East, Europe, and Southeast Asia. #executivesearch #globaltalent #leadership #recruitment

Industry: Human Resources Services
Company Size: 11-50 employees

MM Management Consultant

**Senior AI Engineer **

**Location: Charlotte, NC (4 days 1 day remote) **

**W2 Candidates only **

**Local Nearby Candidates Required **

** **

**Key Responsibilities **

- Architect and develop AI-driven IVR and conversational systems using Python

- Build **English-Spanish translation ** systems.

- Perform data analysis using **SQL ** on large-scale IVR and interaction datasets

- Design and deploy LLM workflows (prompt engineering, RAG, evaluation) for voice and chat use cases

- Lead development of **agentic AI workflows ** for multi-step customer interactions

- Establish **LLMOps best practices **, including monitoring, evaluation, and lifecycle management

- Partner with IVR platform, speech engineering, and product teams

- Mentor offshore and junior AI engineers

**Required Skills & Experience **

- 5+ years of experience in AI / ML

- Very strong proficiency in **Python **

- Proven expertise in **NLP **, including:

- Text classification

- Clustering

- Hands-on experience with **LLMs **:

- Prompt engineering

- Evaluation frameworks

- Retrieval-Augmented Generation (RAG)

**Good to Have **

- Experience with **Agentic AI ** and multi-agent orchestration

- Experience with **LLMOps / MLOps ** in production environments

- Familiarity with IVR platforms and speech technologies (ASR, NLU, TTS)

Artificial Intelligence Engineer

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