Enterprise Architect
Listed on 2026-11-01
-
Software Development
AI Engineer (Applied/Software)
Location:
Stamford, CT & St. Louis, MO - Onsite/Hybrid
Duration:
Long Term
Skills:
AI and Agent Frameworks:
OpenAI GPT, Anthropic Claude, and Google Gemini
CrewAI, Lang Graph, and Microsoft Semantic Kernel
Autonomous agents, multi-agent orchestration, and AI copilots
Knowledge and Retrieval TechnologiesRetrieval-Augmented Generation (RAG)
Azure AI Search, Pinecone, ChromaDB, and Weaviate
Cloud and InfrastructureAWS Bedrock
Integration with Jira and Azure Dev Ops
Git Hub and SharePoint integrations
Enterprise application APIs, workflow automation, and system integration
Ideal Candidate Profile8 - 12 years of overall professional experience, with substantial experience in enterprise architecture, AI engineering, or technology leadership.
Proven experience defining enterprise AI strategies and delivering production-grade Agentic AI solutions.
Strong understanding of autonomous agents, multi-agent architectures, RAG, LLM orchestration, and enterprise AI governance.
Experience leading technical teams, mentoring architects and engineers, and engaging with senior business stakeholders.
Ability to translate business challenges into scalable, secure, and business-aligned AI solutions.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).