Title: Senior AI Engineer - Agentic AI Platform
Location: Chicago, IL (3 days Hybrid - Tuesday to Thursday)
Duration: Long-term Contract
Position Summary
- We are seeking a highly skilled Senior AI Engineer to help design and build an enterprise-scale Agentic AI platform that enables multiple business domains to develop, deploy, monitor, and govern autonomous AI agents.
- This role goes beyond traditional LLM application development and requires hands-on expertise in agent orchestration, AI platform architecture, model governance, memory management, observability, cost attribution, multi-agent systems, and scalable cloud-native AI solutions.
- The ideal candidate will have experience building production-grade AI systems using Azure AI Foundry, LangChain, LangGraph, vector databases, API gateways, and modern AI engineering practices.
- The individual should be comfortable making architecture decisions, evaluating technology trade-offs, and designing enterprise-ready solutions that support security, scalability, monitoring, and cost control.
Key Responsibilities
Agentic AI Solution Development
- Design and develop sophisticated multi-agent AI systems for enterprise use cases.
- Build autonomous and semi-autonomous AI workflows using Agentic AI patterns.
- Implement supervisor-worker, sequential, orchestration, choreography, ReAct, Planner-Executor, and Writer-Critic agent architectures.
- Develop scalable agent communication and execution frameworks.
- Design closed-loop AI workflows with validation, retry, evaluation, and feedback mechanisms.
Enterprise AI Platform Engineering
- Build reusable AI platform capabilities consumed by multiple business teams.
- Implement enterprise-grade AI governance and operational controls.
- Design API-driven AI service architecture with rate limiting, quota management, multi-tenant usage tracking, cost attribution, authentication and authorization, and audit logging.
- Enable structured onboarding and lifecycle management of AI agents.
Multi-Agent Orchestration
- Design orchestration frameworks where agents communicate through direct calls, event-driven architectures, message queues, and publish-subscribe patterns.
- Implement choreography and conductor-based execution models.
- Evaluate technologies such as Kafka, Azure Durable Functions, Service Bus, and event-driven workflows.
AI Memory & Knowledge Systems
- Design short-term and long-term memory architectures.
- Implement vector databases, semantic caching, conversation memory, agent state persistence, and Retrieval-Augmented Generation (RAG).
- Develop knowledge orchestration frameworks supporting agent collaboration.
Ontology & Graph-Based Intelligence
- Work with graph databases and enterprise knowledge models.
- Support ontology-driven AI applications.
- Build knowledge graphs that enable relationship-based reasoning and signal generation.
- Design systems that combine structured, unstructured, and graph-based knowledge sources.
Model Governance & FinOps
- Implement AI consumption governance across business domains.
- Track token usage, model consumption, API utilization, and operational costs.
- Create chargeback/showback mechanisms for enterprise teams.
- Support AI FinOps reporting and capacity planning.
Reliability, Monitoring & Observability
- Design observability frameworks for AI applications.
- Monitor agent executions, tool usage, latency, hallucinations, failure rates, and model quality.
- Create dashboards and operational metrics for enterprise AI workloads.
Responsible AI & Security
- Implement guardrails, safety controls, prompt protection, data masking, PII protection, and human-in-the-loop validation.
- Ensure compliance with enterprise security and governance policies.
- Build secure agentic systems handling sensitive business data.
AI Evaluation & Optimization
- Develop frameworks for agent evaluation, tool evaluation, response quality measurement, closed-loop evaluation, and hallucination detection.
- Apply advanced AI engineering techniques including context engineering, prompt engineering, retrieval optimization, agent tuning, and AI system benchmarking.
Essential Skills
- Senior AI Engineer / AI Platform Engineer experience.
- 8-10 years of overall experience.
- 3+ years of experience building AI/ML or Generative AI solutions.
- Enterprise-scale production AI application experience.
- Strong experience designing AI architectures and platforms.
- AI Agents / Agentic AI.
- Azure AI Foundry.
- Azure OpenAI.
- LangChain.
- LangGraph.
- Microsoft Azure.
- Python.
- Azure API Management (APIM).
- REST APIs.
- Multi-agent orchestration.
- RAG and vector databases.
- AI observability, monitoring, and logging.
- AI governance and model lifecycle management.
- Event-driven architectures.
- API gateways and enterprise AI governance.
Technical Skills
Generative AI & Agentic Frameworks
- Azure AI Foundry
- Azure OpenAI
- LangChain
- LangGraph
- Semantic Kernel
- MCP (Model Context Protocol)
Cloud Platforms
- Microsoft Azure
- GCP or AWS is a plus
Enterprise Integration
- API Gateways
- Azure API Management (APIM)
- REST APIs
- Event-driven systems
Programming
Data & Storage
- Cosmos DB
- PostgreSQL
- MongoDB
- Vector Databases
- Graph Databases such as Neo4j, Stardog, or Neptune
Messaging & Streaming
Kafka
- Azure Service Bus
- Event Grid
- Durable Functions
AI Operations
- AI Observability
- Monitoring & Logging
- Token Usage Analysis
- Cost Optimization
- Model Lifecycle Management
Desirable Skills
- Experience implementing ontology-driven solutions.
- Experience with enterprise knowledge graphs.
- Experience building autonomous AI systems.
- Experience with AI governance and responsible AI frameworks.
- Experience designing reusable AI platforms used by multiple business units.
- Experience in healthcare, financial services, insurance, or other regulated industries.
- Experience Required 8-10 years
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.