AI & Platform Software Engineer
About The Position
A leading financial services client is building its enterprise GenAI capability across two closely partnered organizations: GenAI Platform & Enablement (a governed AI gateway on Azure API Management, model access via Azure AI Foundry with a deliberately venue-agnostic design, model integrations, retrieval services, environments, and observability) and Developer Experience (SDLC automation and tooling, quality engineering and test data management, and 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; contractor seats (18 months, extension possible, contract-to-hire in intent) carry front-loaded build work with capability transfer built in.
Requirements
- SE III: Associate's + 7 years or Bachelor's + 5 years of systems analysis/application development experience (or combined 9 years); SE II: 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 (APIM, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, Azure Monitor, IaC tooling); current stack is Azure AI Foundry + APIM, designed to extend to additional venues (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 Haves
- Demonstrated depth in one or more engineering tracks (candidates 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
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 the bank's SDLC gates, security standards, and separation-of-duties model, producing artifacts and evidence for each gate
- Partner across governance, architecture, cybersecurity, and application teams; communicate clearly with technical and business audiences
- Pair for capability transfer between FTEs and contractor counterparts so knowledge stays when engagements end
- Participate in support rotations for live workloads with incident triage and root-cause discipline
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
