LEAD AIML ENGINEER

Role: Lead AI Engineer
Location: Rosemont IL (3days/Week) (Hybrid)
Long term Contract
Can do Only W2 No C2C

Job Description:

• We are seeking a high-Caliber AI Tech Lead / AI Engineer to design build and operationalize agentic AI solutions that accelerate analytics and reporting delivery.
• This role goes beyond basic agent creation and requires hands-on experience with agent orchestration memory and enterprise-grade data access patterns delivering scalable components that fit into an existing framework while rapidly adapting to incoming business requests.

Responsibilities:

• Design Architect implement and iterate on agentic AI solutions to shorten the cycle time for analytics log analysis and reporting requests.
• Design agent orchestration patterns (multi-agent workflows) tool/function calling and memory approaches appropriate for enterprise deployments.
• Define secure and scalable data access patterns for agents (retrieval context building and grounding) integrating with existing data sources and governance expectations.
• Partner closely with product analytics and engineering stakeholders to intake requirements quickly and deliver working prototypes and production-ready solutions.
• Engineer reusable components and best practices that enable scalable delivery (not one-off scripts) aligned to an existing base framework.
• Operationalize solutions for reliability and maintainability: testing strategies monitoring/observability prompt/version management and deployment automation.
• Evaluate build vs. buy options pragmatically when needed while keeping focus on shipping solutions on the current platform stack.

Tech Stack (Core):

• Cloud: AWS (primary deployment environment; open to alternatives)
  Data/Analytics Platform: Databricks (including native chat with data capabilities and potential agent integrations)
• Agent Frameworks: LangChain LangGraph

• Conversational analytics patterns: Ask-questions-on-data / conversational BI approaches (agent-driven analytics and dashboards

Mandatory skills:

• Demonstrated experience delivering agentic AI solutions beyond prototypes including enterprise deployment considerations.
• Strong hands-on engineering background with AWS-based deployments.
• Experience working with modern data platforms (e.g. Databricks) and integrating LLM solutions with analytics/data ecosystems.
• Ability to operate as a senior individual contributor who can define architecture and implement key pieces end-to-end.
• Excellent communication and collaboration skills with US-based stakeholders
  

Skills & Expertise Needed:

• Agentic AI engineering: building and deploying LLM-powered agents for real business workflows.
• Agent orchestration: designing multi-step and/or multi-agent flows; managing tool use control flow retries and failure handling.

Best Regards:

Tina
Phone: 1-
Email: