Intuitive.AI is one of the fastest-growing (INC 5000, CRN) Cloud & SDx solution and services companies supporting enterprise customers on a global scale. Intuitive is an \"Engineering Company\" delivering measurable value and key business outcomes.
Intuitive Superpowers:
- DataOps & AI/ML
- Cybersecurity (App/Data/Infra) & GRC
- SDx & Digital Workspace
We are proud to partner with some of the world's leading enterprises and serve 200+ customers across different industry verticals. We have achieved many milestones along the way, including being recognized as a top-10 fast-growth 150 IT company in the Americas by CRN in 2022 and being named one of America's fastest-growing private companies by INC 5000 in 2022. That’s not all! Even CIO Review awarded us as the Most Promising Cloud Migration Company and Artificial Intelligence Solutions Provider in 2022.
Job Description:
Title: AI Architect – Anthropic Claude / Agentic AI
Job Type: Full Time/ Contract
Location: Remote across USA
Job Summary
We are seeking an experienced AI Architect with deep expertise in Generative AI, Large Language Models, Agentic AI, and Anthropic Claude to architect and deliver enterprise-grade AI solutions.
The ideal candidate will have strong hands-on experience building production applications using Anthropic Claude, Claude APIs, tool/function calling, AI agents, MCP, RAG, and enterprise knowledge systems. Claude's platform supports capabilities including structured outputs, tool use, citations, file-based workflows, context management, and agent-oriented implementations.
This role will own AI architecture from use-case discovery and solution design through implementation, security, evaluation, deployment, and production optimization.
Key Responsibilities
- Define enterprise AI, GenAI, and Agentic AI architecture and technical roadmaps.
- Architect and implement applications leveraging Anthropic Claude and Claude APIs.
- Design AI Agents and multi-agent architectures capable of interacting with enterprise tools, APIs, applications, and data.
- Architect MCP (Model Context Protocol) integrations and reusable tools for agentic applications.
- Build scalable RAG, Advanced RAG, GraphRAG, semantic search, hybrid search, and knowledge retrieval solutions.
- Design prompt and context-engineering strategies, structured outputs, tool use/function calling, and AI guardrails.
- Establish LLMOps, model evaluation, observability, monitoring, cost optimization, and production deployment patterns.
- Define AI security, governance, responsible AI, data privacy, and access-control standards.
- Architect solutions across AWS, Azure, or GCP, including deployment of Claude through appropriate cloud AI platforms.
- Evaluate models based on accuracy, reasoning quality, latency, token consumption, scalability, safety, and cost.
- Lead architectural reviews and provide technical mentorship to AI engineers and development teams.
- Collaborate with customers, product teams, engineering teams, and senior stakeholders to translate business requirements into production AI solutions.
Mandatory Technical Skills
Anthropic / Claude
- Strong hands-on experience with Anthropic Claude models
- Prompt & Context Engineering
- Tool Use / Function Calling
- Structured Outputs
- Agentic workflows
- LLM evaluation and guardrails
- AI safety and Responsible AI concepts
Agentic AI
- AI Agents / Multi-Agent Systems
- MCP
- LangGraph / LangChain
- Semantic Kernel / AutoGen / CrewAI
- Agent orchestration and tool integration
RAG & Knowledge Systems
- RAG / Advanced RAG
- GraphRAG and Knowledge Graphs
- Semantic & Hybrid Search
- Embedding and retrieval strategies
- Vector databases such as Pinecone, Weaviate, ChromaDB, Qdrant, Azure AI Search, or OpenSearch
- AWS: Amazon Bedrock, SageMaker, OpenSearch
- API-based and microservices architectures
Strong experience with:
- Python
- REST APIs / FastAPI
- MLflow or equivalent
- CI/CD for AI workloads
- LLM observability and tracing
- Prompt and model versioning
- Token and inference cost optimization
- Production monitoring and troubleshooting
The candidate should have demonstrated experience designing:
- Agentic AI platforms
- Claude-based enterprise applications
- RAG/knowledge platforms
- Cloud-native and microservices architectures
- API and event-driven architectures
- Enterprise security and governance
- Highly scalable production AI applications
Experience
- 10+ years overall technology/software engineering experience
- 5+ years in Solution/Cloud/AI Architecture
- 2+ years building Generative AI / LLM solutions
- Strong recent hands-on exposure to Anthropic Claude
- Demonstrated experience taking GenAI solutions from PoC to production
Preferred Qualifications
- Experience delivering Claude-based enterprise copilots or AI agents
- Experience integrating Claude with enterprise data and applications
- Experience building customer-facing or employee-facing AI assistants
- Experience with regulated environments such as banking, healthcare, insurance, or life sciences
- Experience defining enterprise AI governance and security standards
- Experience optimizing GenAI workloads for performance, latency and cos