Senior AI Engineer Agentic AI Platform

• Must Have Technical/Functional Skills
• Azure-based Agentic AI engineering using Azure AI Foundry, Azure OpenAI, LangChain, LangGraph, MCP, and multi-agent patterns.
• Python, SQL, REST APIs, Azure API Management, API gateways, and event-driven integration.
• Enterprise AI platform architecture covering reusable services, multi-tenancy, governance, security, scalability, and lifecycle management.
• AI memory and knowledge systems using RAG, vector databases, semantic caching, conversation memory, state persistence, graph databases, and knowledge graphs.
• AI operations covering observability, monitoring, logging, model lifecycle, token and API usage analysis, cost optimization, evaluation, hallucination detection, guardrails, and PII protection.
• Roles & Responsibilities
• Design and develop production-grade autonomous and semi-autonomous multi-agent AI systems and closed-loop workflows.
• Build reusable enterprise AI platform capabilities with authentication, authorization, rate limits, quotas, audit logging, usage tracking, and cost attribution.
• Design agent orchestration and communication using direct calls, event-driven architecture, message queues, publish-subscribe, choreography, and conductor models.
• Implement memory, RAG, ontology, graph-based knowledge, and knowledge orchestration for agent collaboration.
• Create governance, security, observability, evaluation, reliability, FinOps, dashboards, metrics, and optimization frameworks for enterprise AI workloads.
• Discretionary Annual Incentive.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.

None flagged.