AI Engineer Banking Domain; Onsite Michigan
Listed on 2026-08-28
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Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Location:
East Lansing, MI or Detroit, MI (Onsite, 5 days/week)
Top Priority Requirement
Seeking Senior AI Engineers (10+ years) with recent banking or financial services experience and strong production level Python development skills. Candidates must have long project tenure, excellent communication skills, and handson experience building and deploying ML/AI solutions in regulated environments.
Relocation is considered; local candidates preferred.
Job SummaryThe AI Engineer will design, build, and deploy machine learning and AI-driven solutions supporting enterprise banking initiatives. This role requires deep Python expertise, strong ML/AI experience, and familiarity with banking data, regulatory constraints, and secure production environments.
Key Responsibilities- Design, develop, and deploy AI/ML models and pipelines for banking use cases (risk, fraud, underwriting, customer experience, automation).
- Write clean, production-grade Python code for data processing, model development, and system integration.
- Collaborate with data engineering, IT, and business teams to identify AI/ML opportunities.
- Build and maintain ETL/ELT pipelines for model training and inference.
- Evaluate, finetune, and deploy ML models and LLM/GenAI solutions.
- Ensure compliance with banking security, data privacy, and regulatory standards.
- Document model methodology, performance, and monitoring for governance/audit.
- Partner with infrastructure teams on deployment, scaling, and monitoring of AI systems.
- 10+ years as an AI/ML Engineer.
- Strong Python development (production-level, not just notebooks).
- Recent banking or financial services experience must have worked with banking data, systems, or regulatory environments.
- Experience with ML/AI frameworks:
PyTorch, Tensor Flow, scikitlearn, Hugging Face, Lang Chain, etc. - Solid understanding of data engineering fundamentals (SQL, pipelines, cloud/onprem platforms).
- Experience deploying models to production (MLOps, APIs, containerization).
- Excellent communication and cross functional collaboration skills.
- Bachelor s degree in CS, Data Science, Engineering, or equivalent experience.
- Experience with LLM/Generative AI in regulated industries.
- Familiarity with Azure, AWS, or Google Cloud Platform.
- Exposure to model risk management / governance frameworks.
- Experience with core banking or lending platforms.
Work Arrangement:
Fully onsite, 5 days/week (no remote/hybrid).
Locations:
East Lansing, MI and Detroit, MI (must be able to work from both as needed).
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