Principal AI Platform Engineer (Generative AI)

Location: Remote within the USA; Clanton, Alabama, United States of America

Salary: $139,700–$232,900 annual USD

Company

M&T Bank is a financial services organization developing secure, governed, and enterprise-scale technology capabilities.

What you will do

• Design, develop, and support enterprise-scale Generative AI solutions for development, documentation, testing, analytics, and workflow automation.
• Lead the architecture and optimization of Retrieval-Augmented Generation solutions, including ingestion pipelines, embeddings, vector stores, retrieval frameworks, and semantic search.
• Design and review AI agent architectures, tool-integrated workflows, multi-step LLM applications, APIs, shared services, and reusable frameworks.
• Establish prompt engineering standards, evaluation methods, testing frameworks, benchmarking practices, and performance analysis.
• Develop secure, scalable, maintainable software in Java, Python, C#, and other enterprise languages while promoting engineering standards across teams.
• Influence AI strategy, architecture, governance, security, compliance, resilience, observability, and enterprise adoption while mentoring engineers and presenting to senior stakeholders.

Requirements

• Must work remotely from the USA.
• Associate’s degree with at least 9 years of systems analysis or application development experience, or bachelor’s degree with at least 7 years of relevant experience; equivalent experience may be considered.
• Expert proficiency in at least one relevant programming language and advanced proficiency in at least one additional language.
• Strong knowledge of software engineering, data structures, algorithms, distributed systems, RESTful APIs, microservices, and API-driven architecture.
• Advanced knowledge of Generative AI, LLMs, prompt engineering, and enterprise AI application development.
• Experience building production applications within enterprise SDLC, security, compliance, governance, and risk-management frameworks.

Nice to have

• Experience with enterprise Generative AI in financial services or other regulated industries.
• Expertise in RAG, embeddings, vector databases, Transformer architectures, attention mechanisms, tokenization, and model evaluation.
• Experience with AI agents, LLM orchestration, Microsoft Azure, Azure AI Services, OpenAI technologies, CI/CD, DevOps, automated testing, observability, and reliability engineering.
• Experience leading enterprise platform modernization, governance, responsible AI, model risk management, and large-scale technology adoption.

Culture & Benefits

• Work within a secure, governed, and highly regulated banking technology environment.
• Collaborate with Product Managers, Architects, Engineers, business leaders, architecture forums, and engineering councils.
• Promote responsible AI, privacy, security, compliance, risk management, and a culture of belonging.
• Compensation is market-informed and varies based on location, knowledge, skills, and experience.