Forward Deployed Engineer — AI Solutions

M&T Bank•Buffalo, NY

6d•$116,400 - $194,000•Onsite

About The Position

This role sits at the intersection of business strategy, AI innovation, and execution. Embedded within a business line, you'll identify opportunities, design and develop AI solutions, navigate enterprise governance processes, and lead implementations through production deployment. You will own outcomes end-to-end, serving as the critical link between business demand and governed, scalable AI solutions that create measurable impact.

Requirements

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.
5+ years in software engineering, applied AI, or solutions engineering.
Shipped production software, not just prototypes.
Hands-on experience building applications that use LLMs or foundation models (prompt engineering, RAG pipelines, agent frameworks, tool calling).
Built at least one system that calls a model in production.
Experience working directly with business stakeholders to translate a problem into a technical solution.
Ability to run a discovery session, not just take a requirements document.
Ability to work across the full stack: API integration, data pipeline, model integration, front-end or workflow integration.
Comfort with governance and compliance processes.
Navigate risk reviews and architecture approvals as part of delivery.

Nice To Haves

Experience in financial services, banking, or another regulated industry.
Experience with agentic AI patterns: multi-step workflows, tool use, autonomous execution with guardrails.
Familiarity with the M&T AI platform stack (Azure AI Foundry, Anthropic Claude, Azure APIM) or comparable enterprise AI platforms.
Experience mentoring or training others on AI delivery practices.

Responsibilities

Identify opportunities, design and develop AI solutions.
Navigate enterprise governance processes.
Lead implementations through production deployment.
Own outcomes end-to-end.
Serve as the critical link between business demand and governed, scalable AI solutions that create measurable impact.
Prototype fast, iterate with stakeholders, and ship governed solutions.
Produce reusable patterns for future use cases.
Document what works and feed it back to the hub.