AI Solutions Engineer

Description AI Solutions Engineer to help lead innovation around GitHub Copilot and emerging Agent Mode / MCP Server capabilities. This role will explore how AI-assisted development can accelerate the company’s cloud transformation, helping development and QA teams modernize applications and processes. This is a hands‑on, exploratory position that requires experience building or deploying AI tools in developer environments (e.g., Copilot, Bedrock, LangChain, or similar). The ideal candidate has implemented or experimented with MCP servers or AI coding assistants and can bring real-world insight to how these technologies can be operationalized at scale. Responsibilities Design and prototype use cases leveraging GitHub Copilot Agent Mode and MCP server integrations. Evaluate AI‑assisted code generation and automation for development teams migrating applications to the cloud. Collaborate with QA and development teams to review, optimize, and guide Copilot prompt and agent usage. Partner with GitHub enterprise support contacts to troubleshoot and refine technical implementations. Develop repeatable patterns and proof‑of‑concepts for automating tasks such as version upgrades, dependency management, and code scanning. Help identify AI‑driven opportunities to reduce manual developer effort and improve coding standards. Communicate complex AI and development concepts clearly to non‑expert teams. Minimum Qualifications Proven hands‑on experience with GitHub Copilot, Agent Mode, or MCP Server configuration and integration. (If experience with MCP is limited, strong experience with equivalent AI developer frameworks is acceptable.) Deep understanding of source control (GitHub) and developer workflows. Background in software development (preferably Java, Python, or similar languages). Experience in cloud‑based development environments (AWS preferred; familiarity with Bedrock a plus). Ability to design and validate AI‑driven development or automation solutions. Excellent communication and mentoring skills capable of explaining technical concepts clearly and collaboratively. Preferred Qualifications Experience integrating AI tools with CI/CD pipelines or development IDEs. Familiarity with LangChain, Bedrock, or other LLM orchestration frameworks. Experience designing or contributing to internal developer platforms (IDP). Prior success leading or consulting on AI engineering initiatives for development productivity. Ideal Candidate Attributes Teacher mindset able to guide and share knowledge without ego. Experienced enough to work independently in a niche, evolving technology area. Pragmatic innovator can evaluate what works, what doesn’t, and iterate quickly. Communicates clearly with stakeholders who may be new to AI tooling concepts. Benefits York Solutions Offers a generous benefits package for eligible full‑time employees: BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program) Delta Dental plan with 2 free cleanings and insurance discounts Eye Med Vision with annual check‑ups and discounts on lens Life and Accidental Death Insurance paid by company John Hancock 401(k) Retirement Plan with discretionary company match Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance. Flexible work environment with some remote working opportunities Strong fun and teamwork environment Learning, development, and career growth #J-18808-Ljbffr