Engineering Manager - AI

Applicants must be currently authorized to work in the United States on a full‑time basis and must not require sponsorship now or in the future.

Service Link is modernizing the mortgage services industry through AI‑accelerated engineering, intelligent automation, and next‑generation software delivery practices. We empower the nation’s top lenders and financial institutions with advanced technology, data‑driven insights, and high‑velocity product development models.

We’re not just evolving legacy workflows—we’re redefining how software is designed, built, tested, and deployed. Generative AI, autonomous systems, and continuous delivery are core to how we operate. Innovation isn’t optional here—it’s the expectation.

If you’re passionate about transforming engineering organizations and operationalizing AI‑driven development models at enterprise scale, you’ll thrive at Service Link.

Service Link is transitioning to AI‑driven code generation, spec‑first development, and rapid, testable product iteration. We’re seeking an AI‑native Engineering Manager who is excited to lead teams using this new engineering model.

This role reports to a senior engineering leader and is ideal for someone with proven engineering management experience who remains hands‑on and thrives in a fast‑moving, AI‑accelerated environment.

In this role, you’ll help operationalize a development model where product specifications flow through intelligent pipelines to produce daily, high‑quality, testable builds powered by generative AI and automation. You’ll be central to improving engineering velocity and driving measurable productivity gains.

• Lead and develop a high‑performing engineering team working in an AI‑augmented environment.
• Drive adoption of AI‑native practices including code generation, AI‑assisted coding, and rapid iteration workflows.
• Translate strategic goals into clear, actionable plans in partnership with senior leadership.
• Ensure strong testing practices, modular architecture, version control hygiene, and system observability.
• Foster a culture built on speed, ownership, learning, and experimentation.

• Support the cultural shift toward automation and data‑driven engineering.
• Help shape an operating model optimized for iteration and continuous improvement.
• Apply architectural patterns aligned with generative AI development.
• Support tooling efforts including spec ingestion, automated tests, dashboards, CI/CD enhancements, and workflow automation.
• Collaborate with Product, QA, and business partners to align engineering output with business outcomes.

• Work with agentic systems, code generation tools, and automated validation workflows.
• Support guardrails that ensure consistency, reliability, and scalability in generated code.

• Automated test coverage and defect rates
• Deployment frequency and pipeline reliability
• Team engagement and AI tooling adoption

• Prototype reference implementations and foundational components as needed.
• Troubleshoot complex distributed systems, pipelines, and automation workflows.

• Inspire teams with a clear vision for AI‑driven engineering excellence.
• Model modern engineering management practices built for AI‑augmented development.
• Recruit, mentor, and grow engineers who thrive in high‑velocity environments.

• Strong understanding of distributed systems, cloud architecture, and scalable application design.
• Hands‑on experience with AI‑assisted development and emerging agentic workflows.
• Ability to balance technical depth with people leadership and pragmatic execution.
• Comfortable operating with urgency and building automation‑first cultures.
• Experience contributing to internal tools and productivity pipelines.
• Strong engineering fundamentals with recent hands‑on coding experience.
• Familiarity with AI code generation tools, LLMs, and automation frameworks.
• Ability to build lightweight internal tools, templates, and workflow integrations.
• Experience with cloud…