Tech Stack
AzureLeadership
Job Description, Responsibilities & Requirements
About the Position
We are seeking a GenAI Platform Engineering Team Lead to manage and enhance our enterprise GenAI platform, ensuring alignment with governance standards and operational excellence.
Responsibilities
Delivery & Technical Leadership
- Own delivery of the platform roadmap: gateway hardening and enforcement, model provider integrations, retrieval services, environment tiers, and observability hooks.
- Remain hands-on: design authority on platform architecture, code and design review, and direct contribution on critical-path components.
- Direct and review contractor buildout work; enforce documentation, testing, and capability-transfer discipline so knowledge lands in the team.
- Own production operation under the bank’s controlled-change and separation-of-duties model, including the AI production support rotation and incident management.
Team Leadership & Partnership
- Lead, coach, and develop the platform engineering team (SE II/SE III); set the technical bar and grow engineers into track ownership.
- Manage priorities across platform buildout, use-case support, and vendor-delivered workstreams; re-sequence transparently when approval paths or dependencies stall.
- Partner with the Enablement team lead so governance standards, intake decisions, and platform enforcement operate as one system.
- Represent platform status, risks, and trade-offs to the Director and governance forums with evidence, not assertions.
Requirements
Must Have
- Supervisory / Managerial Responsibilities: Direct supervisory responsibility for the GenAI Platform Engineering team (FTE engineers and assigned contractors): hiring, coaching, performance, and work direction.
- Required Qualifications: Bachelor’s degree and a minimum of 7 years’ technology experience including hands-on platform, cloud, or application engineering, with prior team leadership or technical lead experience; in lieu of a degree, a combined minimum of 11 years’ education and/or relevant experience.
- Hands-on Azure platform depth: API Management, Entra ID, Key Vault, Azure AI services including Azure AI Foundry, monitoring, and IaC (Terraform/Bicep) - with the judgment to keep the platform venue-agnostic as additional model providers and tools onboard.
- Hands-on GenAI experience: model integration, RAG patterns, and AI-assisted engineering workflows.
- Experience operating production platforms in a regulated, controlled-change environment.
- Demonstrated ability to lead while contributing - a working manager, not an administrator.
Nice to Have
- Financial services or other highly regulated industry experience.
- Experience directing vendor/contractor delivery and enforcing capability transfer.
- Experience building a platform team from early stage.
Languages
- English: C1 Advanced
We Offer
- Competitive salary
- Opportunity to work in a dynamic and innovative environment
- Professional growth and development opportunities
About the Company
Join our team and contribute to the forefront of AI and platform engineering, driving innovation and excellence in the financial services industry.