AI Architect I Global enterprise platform I RAG + Agentic systems at scale
Job Description
We're looking for a Senior Expert in AI/GenAI Engineering to lead the architecture, design, and delivery of high-complexity RAG and Agentic AI solutions within a modern enterprise microservices ecosystem.
This is a high-impact, technically deep role — bridging cutting-edge AI research with scalable enterprise applications, and influencing both engineering culture and product roadmap.
WHAT YOU'LL DO
Lead design of AI agents and orchestration layers (LangChain, LlamaIndex)
Architect and optimize RAG pipelines — embeddings, vector search, retrieval workflows
Drive integration of AI components into enterprise systems via RESTful APIs & microservices
Serve as the technical escalation point for complex AI/integration challenges
Advise senior leadership on AI product feasibility and technology strategy
Champion engineering standards, observability, and OWASP-compliant security practices
Lead cross-functional teams through full AI development lifecycle
WHAT WE'RE LOOKING FOR
15+ years in software engineering, with deep expertise in distributed architectures
Strong Python (FastAPI, PyTorch, TensorFlow) or Java (Spring Boot) skills
Hands-on with LLM orchestration, vector databases, and AI/ML service integration
Solid grasp of MLOps, Docker/Kubernetes, CI/CD, and cloud platforms (AWS/Azure/GCP)
Security fluency — OAuth2, JWT, enterprise AI application protocols
Master's in CS/Software Engineering or equivalent experience
BONUS POINTS FOR
Experience with multi-agent systems in production
Hands-on with GCP Vertex AI, AWS Bedrock, or Azure OpenAI
Open-source AI/ML contributions
Background with event-driven systems or legacy enterprise AI integrations
Interested or know someone who'd be a great fit Write to [Confidential Information]