GenAI Platform Engineering Team Lead

Luxoft; United States; On-site; USD 140,000 - 190,000; Full time

Job summary

Luxoft is seeking a GenAI Platform Engineering Team Lead to drive the design, build, and operation of the enterprise GenAI platform. You will lead a team of engineers and contractors, own the platform roadmap, ensure governance alignment, and remain hands‑on on critical problems affecting production environments.

You will partner with governance and enablement teams to ensure enforcement matches policy, with evidence produced within the platform.

Qualifications

• Bachelor’s degree or equivalent experience; 7+ years in technology with hands‑on platform, cloud, or application engineering; prior team leadership or tech lead experience.
• Hands‑on Azure platform depth: API Management, Entra ID, Key Vault, Azure AI services including Foundry, monitoring, and IaC.
• GenAI experience: model integration, RAG patterns, engineering workflows.
• Experience operating production platforms in regulated environments.
• Demonstrated ability to lead while contributing as hands‑on engineer.

Responsibilities

• Own delivery of the platform roadmap including gateway hardening, model provider integrations, retrieval services, environments, and observability.
• Remain hands‑on: act as design authority on platform architecture, review code and designs, contribute on critical-path components.
• Direct and review contractor buildout; enforce docs, testing, and knowledge transfer.
• Own production operations under controlled-change and separation‑of‑duties; manage incident response.
• Lead, coach, and develop the platform engineering team; set technical bar and grow engineers.
• Manage priorities across buildout, use‑case support, and vendor workstreams; re‑sequence when blockers occur.
• Partner with Enablement to align governance, intake, and platform enforcement.
• Communicate platform status, risks, and trade‑offs to leadership with evidence.

Skills

Platform engineering

Team leadership

Azure platform depth

GenAI & RAG

Production operations

Education

Bachelor’s degree or equivalent experience

Tools

Azure

Terraform/Bicep

API Management

Entra ID

Key Vault

Job description

The GenAI Platform Engineering Team Lead is the hands-on engineering leader of the team that builds and operates client's enterprise GenAI platform: the governed AI gateway, model integrations, retrieval services, and environments through which the bank’s AI workloads run. Leading a team of platform engineers (SE II/SE III) and buildout contractors, this player-coach role owns delivery of the platform roadmap, technical quality, and production operation — while remaining an individual contributor on the hardest problems.

The role reports to the GenAI Services Director and partners daily with the GenAI Enablement team (governance, standards, intake, solution architecture) so that what the platform enforces matches what governance requires, with evidence produced natively

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.

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

Skills

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; audit‑evidence familiarity.

Experience directing vendor/contractor delivery and enforcing capability transfer.

Experience building a platform team from early stage