AI & Platform Software Engineer

Project description Client is building its enterprise Gen AI capability across two closely partnered organizations: the Gen AI Platform & Enablement organization (governed AI gateway on Azure API Management, model access via Azure AI Foundry today with a deliberately venue-agnostic design, model integrations, retrieval services, environments, observability) and the Developer Experience organization (SDLC automation and tooling, quality engineering and test data management, site reliability engineering).

Because the engineering foundations overlap heavily, all Software Engineer III openings across both organizations are filled through this single posting: candidates are evaluated once against a common engineering bar, then routed to the track and team where their depth fits best.

Every seat is hands-on.

Engineers design, build, test, document, and operate; 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.

SKILLSMust 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