AI & Platform Software Engineer

Project description Client is building its enterprise Gen AI capability across two closely partnered organizations: the Gen AI Platform FTE seats additionally carry track ownership, contractor review, and production deployment under the bank’s controlled-change model, while contractor seats (18 months, extension possible, contract-to-hire in intent) carry the front-loaded build with capability transfer written in.

Responsibilities Design, build, test, and operate production capabilities hands-on, with documentation and evidence by default.

Leverage Gen AI 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 the bank’s SDLC gates, security standards, and separation-of-duties model; produce the artifacts and evidence each gate requires.

Partner 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.

SKILLS Must have 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 Gen AI 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, Ia C 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 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 Git Lab Duo, Azure AI Foundry, Copilot Studio, Dynatrace, Delphix, or comparable track-relevant tooling.

Certifications or demonstrated training in cloud engineering, AI engineering, Dev Ops, SRE, or related disciplines. #J-18808-Ljbffr