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Artificial Intelligence Engineer II

Job in Detroit, Wayne County, Michigan, 48228, USA
Listing for: Blue Cross Blue Shield of Michigan
Full Time position
Listed on 2026-07-15
Job specializations:
  • Software Development
    Backend Developer, AI Engineer (Applied/Software), Cloud Engineer - Software, DevOps
Salary/Wage Range or Industry Benchmark: 120000 - 160000 USD Yearly USD 120000.00 160000.00 YEAR
Job Description & How to Apply Below

Company:
Blue Cross Blue Shield of Michigan

Industry:
Health Insurance and Health Care

Level:
Non-Manager

Job Family:
Information Technology

Compensation:
Competitive Total Compensation Package

About Us

Blue Cross Blue Shield of Michigan is a large health insurance company committed to providing affordable, quality health care. We offer a wide range of plans for employers and individuals, the largest network of doctors and hospitals in Michigan, and initiatives to promote better health statewide.

Overview

Work closely with clients, business analysts, and team members on projects ranging from small to large, complex initiatives to understand business requirements and design quality technical solutions that align with business and IT strategies while complying with architectural standards. Provide end‑to‑end support in the full systems life cycle to ensure application delivery on time and within budget.

We require an AI Engineer with hands‑on experience designing, building, and deploying Generative AI, Retrieval‑Augmented Generation (RAG), and Agentic AI solutions within large‑scale, big‑data environments. Proven delivery experience with Agile methodologies is mandatory.

Responsibilities
  • Design, develop, and implement end‑to‑end agentic AI systems that integrate Large Language Models (LLMs), multi‑agent orchestration frameworks, enterprise‑grade data pipelines, and business and operational applications.
  • Deliver production‑grade solutions meeting enterprise standards for reliability, scalability, performance, and maintainability.
  • Code applications following disciplined development processes, including integration with external applications and platforms.
  • Create data extracts and reports per system requirements, and develop, execute, and document unit test plans.
  • Support and execute all testing efforts across the life cycle.
  • Troubleshoot existing information systems to identify and resolve errors or deficiencies.
  • Provide ongoing maintenance of applications, including gap analysis and recommendation of performance improvements.
  • Assist in deployment of new modules, upgrades, and fixes to the production environment, ensuring production readiness and proper version control.
  • Participate in project planning processes and collaborate with architects on data feed feasibility and technical requirements.
  • Review modules for quality assurance and provide technical coaching and mentoring to less‑experienced team members.
  • Prepare and present formal training to IT staff and develop user guides and training documentation.
  • Other duties as assigned.
Requirements

Education and/or Experience
  • Bachelor's degree in a related field preferred.
  • Three (3) years of advanced programming techniques and application design required.
  • Experience in systems design with a solid understanding of development, database development, testing, and integration methodologies required.
  • Project management experience preferred.
Other

Skills and Abilities
  • Analytical and systems thinking.
  • Accuracy and attention to detail.
  • Written and verbal communication skills.
  • Ability to work independently or within a team environment.
Departmental Preferences
  • Hands‑on development experience with Python, FastAPI, Django.
  • AWS Bedrock, Bedrock Agent Core.
  • AWS Sage Maker Catalog, AI, Studio, Model Monitor.
  • Vector databases (AWS Postgres, Redshift, Open Search), DynamoDB, S3 / S3 Vector.
  • AWS Nova and Anthropic Claude Sonnet.
  • Certified AWS AI Practitioner – Foundational.
Legal Disclaimer

EEO Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sexual orientation, age, gender identity, protected veteran status, or status as an individual with a disability.

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