Role Summary
The Lead AI Platform Engineer is a hands‑on technical contributor responsible for designing, developing, and integrating Generative AI–enabled capabilities within M&T Bank’s secure, governed enterprise environment. This role combines strong software engineering fundamentals with applied GenAI experience and partners closely with product, architecture, and engineering teams to deliver scalable, reliable, and responsible AI solutions.
Key Responsibilities
Design, develop, and support GenAI‑enabled features including AI‑assisted coding, documentation, testing, analysis, and workflow automation
Implement and maintain retrieval‑augmented generation (RAG) solutions, including data ingestion, embeddings, vector stores, and search pipelines
Design and build agent‑based and tool‑invoking GenAI workflows, including multi‑step LLM interactions using approved enterprise platforms
Develop and integrate APIs and backend services connecting LLMs to internal systems and approved third‑party tools
Lead prompt design, testing, and iteration to improve output quality, relevance, and safety
Participate in model testing, evaluation, and performance analysis using established enterprise frameworks
Contribute hands‑on development using modern languages and frameworks (e.g., Java, Python, C#)
Collaborate with Product Managers, Architects, and Engineers to translate requirements into technical solutions
Provide technical guidance and mentoring to less experienced engineers
Follow and promote M&T Bank SDLC, security, and responsible AI standards
Required Qualifications
Associate’s degree and a minimum of 7 years’ systems analysis and/or application development work experience or Bachelor's degree and a minimum of 5 years' systems analysis and/or application development work experience. In lieu of a degree, a combined minimum of 9 year’s education and/or relevant work experience, including a minimum of 5 years’ system analysis and/or application development work experience.
Strong foundation in software engineering principles, data structures, and algorithms
Hands‑on experience with Java, Python, or C# in production environments
Experience with RESTful APIs, API‑driven development, and Git‑based version control
Working knowledge of machine learning and large language model (LLM) fundamentals
Experience working within enterprise SDLC, security, and compliance standards
Preferred Qualifications
Experience implementing Generative AI solutions in enterprise or regulated environments
Hands‑on experience with RAG architectures, embeddings, and vector databases
Familiarity with Transformer‑based models, attention mechanisms, and tokenization
Experience with Microsoft Azure, including Azure‑based AI services and GenAI platforms
Exposure to CI/CD pipelines, DevOps tooling, and automated testing
Understanding of responsible AI, data privacy, and model governance principles
Skills Required
- Associate's degree + 7 years development/systems analysis, or Bachelor's + 5 years development/systems analysis (or equivalent 9 years combined)
- Strong foundation in software engineering principles, data structures, and algorithms
- Hands-on experience with Java, Python, or C# in production environments
- Experience with RESTful APIs, API-driven development, and Git-based version control
- Working knowledge of machine learning and large language model (LLM) fundamentals
- Experience working within enterprise SDLC, security, and compliance standards
- Experience implementing Generative AI solutions in enterprise or regulated environments
- Hands-on experience with RAG architectures, embeddings, and vector databases
- Familiarity with Transformer-based models, attention mechanisms, and tokenization
- Experience with Microsoft Azure, including Azure-based AI services and GenAI platforms
- Exposure to CI/CD pipelines, DevOps tooling, and automated testing
- Understanding of responsible AI, data privacy, and model governance principles
M&T Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about M&T Bank and has not been reviewed or approved by M&T Bank.
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Retirement Support — Retirement benefits are positioned as a strong pillar, including a 401(k) match and the possibility of an additional employer contribution, plus access to an employee stock purchase plan.
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Leave & Time Off Breadth — Time-off offerings are framed as competitive, with a flexible PTO approach and paid volunteer time called out as a meaningful add-on to standard leave.
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Wellbeing & Lifestyle Benefits — Wellbeing support appears comparatively robust, highlighted by mental-health therapy/coaching sessions and broader wellness programming alongside community-oriented perks.
M&T Bank Insights
What We Do
M&T Bank is a multi-state community-focused bank serving New York, Maryland, New Jersey, Pennsylvania, Delaware, Connecticut, Virginia, West Virginia and Washington, D.C. Founded in 1856, the company provides banking, investment, insurance and mortgage financial services to more than 3.6 million consumer, business and government clients.
