AI Solutions Architect – Claude / Generative AI
6 - 10 years
New York, NY
Full-time
Hybrid
1 month ago
About the role
Role Overview
We are seeking a highly skilled and forward-thinking AI Solutions Architect with strong experience in Generative AI technologies, particularly around the Claude ecosystem and enterprise AI solutioning. The ideal candidate should possess deep technical expertise in designing scalable AI architectures, defining enterprise AI adoption strategies, and delivering AI-driven use cases for clients across industries.
This role requires someone who can engage with business stakeholders, understand client challenges, architect AI solutions, and lead implementation initiatives involving Claude, LLMs, AI agents, and enterprise AI platforms.
Candidates with exposure to Claude certifications, enterprise AI governance, and production-grade AI deployments will be strongly preferred.
Key Responsibilities
Required Skills & Qualifications
Preferred Skills
Certifications
We are seeking a highly skilled and forward-thinking AI Solutions Architect with strong experience in Generative AI technologies, particularly around the Claude ecosystem and enterprise AI solutioning. The ideal candidate should possess deep technical expertise in designing scalable AI architectures, defining enterprise AI adoption strategies, and delivering AI-driven use cases for clients across industries.
This role requires someone who can engage with business stakeholders, understand client challenges, architect AI solutions, and lead implementation initiatives involving Claude, LLMs, AI agents, and enterprise AI platforms.
Candidates with exposure to Claude certifications, enterprise AI governance, and production-grade AI deployments will be strongly preferred.
Key Responsibilities
- Design and architect enterprise-grade AI and Generative AI solutions using Claude and related AI ecosystems
- Collaborate with clients to identify, assess, and define AI-driven business use cases
- Lead technical solutioning workshops and AI discovery sessions with stakeholders
- Define scalable architectures for AI applications, AI agents, orchestration layers, and AI governance frameworks
- Work closely with engineering teams to guide implementation, integration, and deployment of AI solutions
- Design secure, scalable, and compliant AI systems aligned with enterprise architecture standards
- Build AI reference architectures, accelerators, reusable frameworks, and implementation best practices
- Support AI model integration, prompt engineering strategies, RAG architectures, and agentic workflows
- Evaluate emerging AI technologies and recommend suitable approaches for client use cases
- Contribute to AI capability building, pre-sales discussions, proposals, and solution demonstrations
- Ensure AI solutions align with responsible AI, governance, observability, and security considerations
Required Skills & Qualifications
- 10–12 years of overall technology experience with strong architecture and solutioning background
- Hands-on experience working with Claude and enterprise Generative AI ecosystems
- Exposure to Claude certifications or equivalent AI platform certifications preferred
- Strong understanding of:
- Large Language Models (LLMs)
- AI Agents / Agentic Frameworks
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI orchestration frameworks
- AI governance and observability
- Experience designing AI-powered enterprise applications and workflows
- Strong understanding of cloud platforms such as Azure or AWS
- Experience integrating AI solutions with enterprise systems and APIs
- Strong communication and stakeholder engagement skills
- Ability to translate business problems into scalable AI architectures
Preferred Skills
- Experience with Azure AI Foundry, OpenAI, Claude, LangChain, Semantic Kernel, or similar ecosystems
- Exposure to vector databases, embeddings, and knowledge retrieval systems
- Understanding of enterprise security, compliance, and AI risk management
- Experience in AI use case consulting and client workshops
- Familiarity with Python-based AI development ecosystems
- Exposure to DevOps/MLOps and AI deployment pipelines
Certifications
- Azure AI Engineer Associate (AI-102) – Preferred
- Azure Solutions Architect Expert (AZ-305) – Preferred
- Claude / Generative AI platform certifications or equivalent experience – Preferred
Skills
Technology, Information and Internet