$100,000–$120,000 Per Year
Amazon Web Services (AWS), Application Programming Interface (API), Architectural Services, Artificial Intelligence (AI), Artificial Intelligence (AI) Agents, Coaching, Continuous Improvement, Distributed Computing, Enterprise Architecture, Enterprise Protection, Leadership, Mentoring, Microsoft Agent, Modeling Languages, Plumbing, Quality Management, Release Management/Engineering, Requirements Management, Risk, Systems Engineering, Technical Delivery, Technical Leadership
Job Title: AI Engineer
Location: Chicago, IL
Duration: Fulltime
Skills: Artificial Intelligence
Salary: 100K-120K/Year
Roles and Responsibilities:
Role Summary :
- This role is for the "GenAI / agentic build out" workstream). Basically, an AI engineer, keeping up with the latest, forward thinking, plug and play, marginalize everything so when technology changes he /she can quickly limit to plug that gap. A Lead engineer responsible for designing, developing, and operationalizing enterprise-scale Generative AI (GenAI) solutions. This position combines deep hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures with strong technical leadership to deliver secure, scalable, and resilient AI systems. The role partners across engineering, product, and business teams to translate complex requirements into production-ready AI capabilities aligned with enterprise standards for security, risk, and responsible AI. This is a modern AI engineer with agentic systems experience.
Technical Depth & Innovation
- Strong expertise in GenAI architectures and evolving AI technologies
- Ability to balance experimentation with enterprise-grade reliability
- Build and integrate AI agents Architecture & Systems Thinking
- Designs scalable, distributed, and resilient systems
- Aligns architecture decisions with enterprise standards and long-term strategy
- Design, develop, and deploy GenAI solutions leveraging:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) architectures
- Prompt engineering techniques
- Agentic AI workflows and orchestration
- Build intelligent systems using frameworks such as LangChain, LangGraph, AWS Bedrock, and Microsoft Foundry Agent Service
- Lead the end-to-end lifecycle of GenAI solutions, including:
- Solution architecture and engineering
- Integration with enterprise systems
- Secure deployment and release management
- Monitoring, observability, and continuous optimization
- Evaluate emerging tools and frameworks to continuously improve solution quality and innovation
- Work with Claude, CoCo, Genie, LangChain (or its successor)
- Handle API integration, orchestration, plumbing
- Move fast and adapt to rapidly changing AI tech
- Work across Snowflake + Databricks + OpenAI
- Provide architectural leadership and guidance across GenAI initiatives
- Drive critical design decisions for large-scale, complex AI solutions
- Mentor and coach engineers and development teams
- Translate business requirements into scalable, secure, and resilient technical solutions
- Partner with stakeholders across product, business, risk, and security functions
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.