Senior GenAI Engineer

Role: Senior/Lead AI & Platform Software Engineer

Location: Remote or (Buffalo, NY or Wilmington, DE (the first 2 – 4 weeks onsite, then remote US))

Responsibilities:

·       Design, build, test, and operate production capabilities hands-on, with documentation and evidence by default.
Leverage GenAI capabilities in your own engineering workflow — coding assistants, agent-based automation, AI-assisted testing and debugging — to accelerate delivery, including SDLC automation opportunities.

·       Work within SDLC gates, security standards, and separation-of-duties model; produce the artifacts and evidence each gate requires.

·       Partners across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences.

·       Pair for capability transfer — FTEs with contractor counterparts, contractors with FTE track owners — so knowledge stays when engagements end.

·       Participate in support rotations for live workloads with incident triage and root-cause discipline.

Mandatory Skills Description:

·       SE III (61 IC): Associate’s + 7 years or Bachelor’s + 5 years systems analysis/application development experience (or combined 9 years). SE II (60 IC): Associate’s + 5 years or Bachelor’s + 3 years equivalent experience (or combined 7 years).

·       Strong software engineering fundamentals: architecture, API design, integration patterns, secure coding, testing, CI/CD, and operational support.

·       Hands-on experience with GenAI models and AI-assisted development workflows (coding assistants, prompt engineering, RAG/context engineering, or agent-based automation).

·       Hands-on Azure experience relevant to the target track (e.g., APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling) — current stack is Azure AI Foundry + APIM, with the platform designed to extend to additional venues and tools (e.g., AWS Bedrock, Google Vertex, direct provider APIs) without rework.

·       Experience delivering and operating production systems in a controlled-change environment.

·       Strong communication, collaboration, documentation, and stakeholder engagement skills.

Nice-to-Have Skills Description:

·       Demonstrated depth in one or more tracks above — candidates are routed by strongest track fit across both organizations.

·       Financial services or other highly regulated industry experience; familiarity with audit-evidence expectations.

·       Experience with GitLab Duo, Azure AI Foundry, Copilot Studio, Dynatrace, Delphix, or comparable track-relevant tooling.

·       Certifications or demonstrated training in cloud engineering, AI engineering, DevOps, SRE, or related disciplines.