Hiring: Head of Forward Deployed Engineering (AI) Company: M&T Bank Location: Buffalo, NY Job Posted Time: 2026-09-16 22:54:53 Target Skills & Keywords : CI/CD, Change Management, Enterprise Architecture, LLM, Machine Learning, Project Management, RAG, Risk Management, Stakeholder Management About the job Experience: •11 years' higher education and/or work experience, including a minimum of 4 years' engineering and/or architecture experience and 5 years' leadership experience including people management. Required Skills: •Lead, mentor, and develop a team of Forward Deployed Engineers, establishing priorities across multiple concurrent business engagements and resolving resource allocation challenges. •Serve as the technical and delivery owner for Forward Deployed Engineering engagements by partnering with business stakeholders to identify opportunities, scope AI use cases, define solution architectures, and ensure successful delivery. •Manage and participate in consultations with business and technology leaders to analyze short- and long-term business requirements and recommend innovative AI-driven solutions that anticipate future needs. •Establish and maintain strong partnerships with business units, technology teams, and executive stakeholders while acting as the primary escalation point for engagement-related issues. •Ensure AI solutions developed within business units align with enterprise AI platform standards, governance requirements, architecture principles, and long-term technology strategies. •Drive adoption and reuse of centralized AI services, platforms, tooling, and shared engineering components to avoid fragmented or one-off implementations. •Serve as the voice of the field by identifying recurring business needs, platform gaps, tooling opportunities, and reusable capabilities that should be developed centrally. •Define and continuously improve engagement standards, including intake processes, solution discovery, project scoping, delivery methodology, deployment practices, and post-launch support models. Qualifications: •Bachelor's degree in Computer Science, Engineering, Data Science, Information Technology, or a related field. •Strong knowledge of enterprise AI governance, model governance, use case intake processes, risk assessment frameworks, and responsible AI practices. •Extensive experience with AI/ML platforms, generative AI technologies, cloud-native architectures, and production engineering practices. •Demonstrated success developing engineering talent and building high-performing technical teams. •In-depth knowledge of enterprise technology strategy, platform operating models, and organizational change management. Compensation: •$139,700 - $232,900 / year Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!