ML Ops Engineer Lead

Volkswagen Financial Services, a wholly-owned subsidiary of Volkswagen Group, is the trusted key to mobility for its brand partners. We are committed to supporting the Audi, Ducati, and Volkswagen brands and their Dealers, specializing in providing accessible mobility solutions for its Customers. The company’s offerings include Retail Leasing, Retail Financing, Commercial Financing for new and used vehicles, and End-of-Term vehicle disposition.

This position is Career Level 29P and located in Reston, VA, with a Role Classification of Hybrid.

Base pay is one part of our total compensation package and is established within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay for this position will fall within the pay range listed below and is determined based on job-related factors including, but not limited to, skills, experience, qualifications, work location, and market conditions.

Base salary is localized according to an employee’s work location. Ranges are market-dependent and may be modified in the future.

This position is located in Reston, VA. The pay range for this location is $146,700 - $264,000 annually.

• Eligibility for annual performance bonus
• Healthcare benefits
• 401(k), with company match
• Defined contribution retirement program
• Tuition reimbursement
• Company lease car program
• Paid time off

The Lead MLOps Engineer is the senior‑most individual contributor responsible for the enterprise AI platform at VWFS and serves as the technical authority for how AI models are built, operationalized, governed, and run orting to the Data and AI Platform team, this role defines the multi‑year technical vision, reference architecture, and standards for the AWS‑based MLOps platform supporting classical machine learning, Generative AI, and agentic AI workloads—while remaining actively hands‑on in its implementation.

This role is explicitly forward‑looking, shaping VWFS’s long‑term AI platform roadmap by evaluating emerging architectures and vendors, and is accountable for platform scalability, security, observability, and regulatory compliance. The Lead MLOps Engineer regularly contributes production‑quality code, building and debugging pipelines, infrastructure, and platform components to validate designs and accelerate adoption.

Impact is delivered through architectural ownership combined with sustained hands‑on contribution—driving executive investment decisions, owning enterprise MLOps standards and golden paths, and acting as a senior technical thought partner across Data, AI, Application Development, Risk, and Governance—leading by technical example rather than formal people management.

• Own and drive the multi‑year technical strategy and hands‑on implementation of VCI’s AWS‑based MLOps platform, actively building and evolving core platform components that support classical ML, Generative AI, and agentic AI workloads at enterprise scale (35%).
• Lead horizon‑scanning and practical validation across the MLOps, GenAI, and agentic AI ecosystem—evaluating architectures, frameworks, and vendors, and prototyping or implementing key patterns to inform platform decisions (e.g., model registry, feature store, observability, vector databases, agent orchestration) and the AI platform roadmap (20%).
• Design, implement, and continuously refine enterprise‑scale CI/CD, deployment, monitoring, and rollback patterns for ML and GenAI workloads. Actively write and maintain production code for pipelines, automation, and platform tooling, while authoring design artifacts and technical guidance that reinforce reliable, scalable operations (15%).
• Define, steward, and evolve…