AI Architect at Flexton Inc. (Expired)

10+ years’ experience in cloud and distributed systems architecture focused on scalability, reliability, observability, and performance.
7+ years designing enterprise AI/ML systems; 1+ years hands-on with GenAI, agentic workflows, RAG, LLM-based integrations, or multi-agent systems.
Strong expertise with agentic frameworks and tooling (MCP, LangChain, LangGraph,LlamaIndex, autogen, crewai, Agent sdk,OpenAI SDK etc).
Hands-on experience in modern software development and engineering practices.
Proven experience integrating APIs and enterprise systems into agentic platforms and workflows.
Ability to rapidly build AI-driven prototypes, proofs of concept, and demo-ready product experiences.
Experience defining and governing enterprise architecture standards, patterns, and reference architectures.
Deep understanding of MCP servers, tool calling, registries, eval pipelines, agent observability, and multi-agent orchestration.
Hands-on experience with Azure and GCP, including Kubernetes, containerization, identity, networking, CI/CD, and API platforms.
Familiarity with AIOps/MLOps stacks (MLflow, model registries, vector DBs, semantic layers, feature stores, monitoring).
Strong knowledge of security, compliance, risk, and Responsible AI (RAI) considerations for enterprise agent systems.
Demonstrated ability to partner across engineering, data science, product, and security teams to deliver complex AI platform architectures.

AI Architect