AI Machine Learning Engineer

Position: AI / ML Engineer

Salary: $100,000 - 130,000

Benefits: $0 Premium Healthcare options, Retirement Plan w/ 4.5% match, 3.5 Weeks PTO, etc.

Location: East Lansing, MI area (Onsite role)

Why You Should Apply

• Outstanding culture with a family-oriented feel, where technology is highly valued.
• Competitive compensation and benefits package with $0 cost healthcare options.
• Work in a modern environment with the latest tools, collaborative team & leaders, and a strong focus on professional growth.

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Job Overview

Design, build, and deploy AI and machine learning systems that deliver measurable business value at First National Bank of America. As part of the AI & Automation team, contribute across the full engineering lifecycle—from data analysis and model development through production deployment. Depending on experience, this role may emphasize quantitative modeling alongside a senior data scientist, or production engineering of AI-powered systems. We are building a new team and hiring at multiple levels.

Responsibilities Of The AI / ML Engineer

• Design and implement AI solutions including document intelligence, knowledge search (RAG), and process automation
• Build and maintain production data pipelines: ingestion, transformation, feature engineering, and monitoring
• Develop APIs and services connecting AI capabilities to business applications
• Integrate and optimize LLM services: prompt engineering, RAG, evaluation, and cost management
• Collaborate on quantitative projects: pricing models, risk analysis, statistical modeling, and simulation
• Implement and evaluate ML models; support experimentation, validation, and performance analysis
• Build supporting data infrastructure: ETL pipelines, vector databases, data quality frameworks
• Contribute to AI platform architecture: cost tracking, usage monitoring, and access control
• Evaluate AI/ML tools, frameworks, and cloud services; recommend build-vs-buy decisions
• Create technical documentation and architecture diagrams
• Support AI governance and compliance in a regulated banking environment

Preferred Experience of the AI / ML Engineer: a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }

• BS or MS in Computer Science, Data Science, Mathematics, Statistics, or related quantitative field
• Strong Python skills; production systems or significant academic projects
• Experience or coursework in machine learning, statistical modeling, or applied mathematics
• Familiarity with ML frameworks (scikit-learn, PyTorch, TensorFlow) and data libraries (pandas, NumPy, SciPy)
• LLM integration, prompt engineering, and RAG experience valued
• Familiarity with cloud AI services (Azure AI, AWS Bedrock) and containerization (Docker)
• Understanding of API design and system integration patterns
• Effective communication skills for technical and non-technical audiences
• Personal projects, research, open-source, or Kaggle experience are valued

Bonus Experience of the AI / ML Engineer: a { text-decoration: none; color: #464feb; } tr th, tr td { border: 1px solid #e6e6e6; } tr th { background-color: #f5f5f5; }

• Data pipeline experience (Airflow, dbt, or equivalent) a plus
• Working knowledge of SQL; vector database experience a plus
• Regulated industry background (banking, healthcare, finance) is a significant plus

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