Software Engineer Manager (Artificial Intelligence)

• 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
• 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

Benefits

• Competitive health coverage
• A dedicated Employee Wellbeing Committee
• Generous vacation, safe/sick time, and leave policies
• Strong focus on learning & development
• Hybrid work environment
• A great 401(k) plan!- The ideal candidate has a proven track record of leading high-performing engineering teams while remaining technically credible in modern AI and software engineering
• You know how to balance execution with long-term architecture, mentor engineers, raise the engineering bar, and build systems that scale
• You’re a great fit if you enjoy developing people as much as technology, can navigate ambiguity, and are passionate about delivering AI solutions that create measurable business value
• Proven experience building, delivering, and operating production software systems at scale
• Strong hands-on experience developing production applications in Python
• Strong understanding of software engineering best practices, including testing, observability, security, code review, and operational excellence
• Experience integrating AI services using leading LLM providers and modern AI frameworks such as LangChain, LangGraph, or similar technologies
• Bachelor’s degree in Computer Science, Engineering, Physics, Mathematics, or a related technical field
• Experience with relational databases (PostgreSQL preferred) and distributed application architectures
• Experience working in Agile development environments using tools such as GitHub, Jira, and Jenkins (or equivalent)
• 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
• 8+ years of professional software engineering experience, including at least 3+ years leading engineering teams
• 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 designing cloud-native applications using AWS, Docker, and modern deployment and CI/CD practices
• Experience leading engineering teams responsible for AI/ML-enabled products or platforms
• Startup or high-growth company experience
• Experience in financial technology or regulated industries
• Experience building and scaling AI platforms used across multiple products or business functions
• Experience leading engineering organizations through rapid growth or organizational change- 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