Manager, Software Engineer (AI)

Who Are We Looking For?

The Engineering team is seeking an experienced Engineering Manager to lead our AI Engineering organization. This leader will be responsible for building and scaling the engineering team that delivers AI-powered products and enterprise capabilities. You will combine strong technical leadership with exceptional people management, partnering closely with Product, Design, Data, and business leaders to define strategy, execute against ambitious roadmaps, and deliver reliable, production-grade AI solutions.

What Will You Be Doing?

• Lead, mentor, and grow a team of AI software engineers, fostering a culture of technical excellence, ownership, and continuous learning.
• Drive engineering execution by establishing priorities, managing delivery, and ensuring predictable, high-quality outcomes.
• Define the technical architecture and engineering direction for AI platforms, services, and enterprise applications.
• Partner with Product, Design, Data Science, Security, and business stakeholders to translate business objectives into scalable technical solutions.
• Architect, build, and oversee the delivery of production-grade AI services with a focus on reliability, scalability, observability, and operational excellence.
• Guide the implementation of modern AI capabilities, including retrieval-augmented generation (RAG), AI agents, orchestration frameworks, and integrations with leading LLM providers.
• Establish engineering best practices for software development, testing, deployment, code quality, and operational support.
• Remain technically engaged by reviewing architecture, mentoring engineers, and contributing to key technical decisions and complex implementations when appropriate.
• Recruit, coach, and develop engineering talent while helping shape the long-term growth of the AI Engineering organization.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field.
• 8+ years of professional software engineering experience, including at least 3+ years leading engineering teams.
• Proven experience building, delivering, and operating production software systems at scale.
• Experience leading engineering teams responsible for AI/ML-enabled products or platforms.
• Strong hands-on experience developing production applications in Python.
• Deep understanding of modern AI and machine learning concepts, including large language models (LLMs), retrieval-augmented generation (RAG), AI agents, and model orchestration frameworks.
• Experience integrating AI services using leading LLM providers and modern AI frameworks such as LangChain, LangGraph, or similar technologies.
• Experience designing cloud-native applications using AWS, Docker, and modern deployment and CI/CD practices.
• Experience with relational databases (PostgreSQL preferred) and distributed application architectures.
• Strong understanding of software engineering best practices, including testing, observability, security, code review, and operational excellence.
• Demonstrated ability to recruit, mentor, and develop high-performing engineering teams.
• Excellent communication and collaboration skills with the ability to influence technical and non-technical stakeholders.
• Experience working in Agile development environments using tools such as GitHub, Jira, and Jenkins (or equivalent).

The Extras

• Experience in financial technology or regulated industries.
• Startup or high-growth company experience.
• Experience building and scaling AI platforms used across multiple products or business functions.
• Experience leading engineering organizations through rapid growth or organizational change.

Culture

We take a modern Agile approach to development, trusting cross-functional squads to make bottom up decisions in terms of roadmap prioritization, technical choices, and day-to-day processes. We want squads to be first class citizens, working as a team to define their roadmap and prioritization, that follows best practices in development, automation testing, deploying, and support.

Our Benefits

• We’re an innovative, high-growth company with an exciting future ahead. At Vestwell, we prioritize employee wellbeing through comprehensive health benefits, generous time off, and a dedicated Employee Wellbeing Committee.
• We offer a hybrid work model offering flexibility while providing access to our collaborative offices in Midtown Manhattan, Austin, King of Prussia, and Scottsdale.
• We offer a competitive 401(k) plan.

Our Process

Our interview process starts the same for every candidate with 1-2 introductory conversations to learn more about your background, interests, and what you're looking for, while also giving you the opportunity to learn more about Vestwell and the team. From there, the process varies by role but typically includes a skills or experience-based assessment, such as a coding interview, portfolio review, or deeper discussion of your relevant experience. Successful candidates then move on to a virtual or in-person interview panel. Before extending an offer, we complete a reference check with a current or former manager and a peer. Throughout the process, we prioritize transparency, clear communication, and minimizing surprises.

Contact

For your awareness you will only receive correspondence from recruiting@vestwell.com any other domain not ending in Vestwell.com is not our Recruitment team.

Vestwell’s Privacy Policy. Attention California residents: In the course of conducting our business and complying with federal, state, and local government regulations governing such matters as employment, tax, insurance, etc., we must collect Personal Information from you. Should you accept employment with Vestwell you may view our California Privacy Rights Act here: Vestwell’s California Privacy Rights Policy.