About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Artificial Intelligence/Machine Learning Engineer based in United States.
Responsibilities
- Lead engineers across the central platform team and delivery pods, effectively coordinating teams that include both internal employees and contractors.
- Establish and maintain engineering standards covering code quality, AI agent quality, review practices, definition of done, and production readiness.
- Partner with platform leadership to establish and scale a consistent paved path covering templates, pipelines, evaluation practices, and other reusable engineering foundations.
- Ensure delivery teams consistently adopt established platform patterns and engineering standards while maintaining appropriate flexibility for individual initiatives.
- Unblock engineering teams on a daily basis, helping delivery pods maintain momentum without becoming an unnecessary gatekeeper.
- Oversee contractor performance and contribute to the contractor-to-employee conversion pipeline in partnership with the relevant sourcing organization.
- Review AI agent architectures, prompts, and evaluation suites to maintain a credible technical quality bar across teams.
- Balance technical leadership and people management in a flat, fast-moving environment, remaining close enough to the work to guide engineers effectively.
Requirements
- 8+ years of professional engineering experience, including at least 3 years managing engineers who have delivered AI, machine learning, or LLM-based systems into production.
- Proven experience managing blended teams consisting of both contractors and employees while maintaining consistent engineering quality and delivery standards.
- Strong enough hands-on AI/ML and LLM expertise to confidently review agent architectures, prompting approaches, evaluation frameworks, and production-readiness decisions.
- Demonstrated ability to lead engineering teams while remaining technically engaged and capable of making sound architectural and quality decisions.
- Comfortable operating as a player-coach in a flat, fast-paced organization, with a collaborative leadership style focused on enabling teams rather than building unnecessary hierarchy.
- Strong communication, prioritization, problem-solving, and people leadership skills, with the ability to remove blockers and keep teams moving toward delivery.
- Experience in healthcare or another regulated industry is a plus, particularly where quality, reliability, and responsible technology practices are important.
- Experience scaling an engineering team from fewer than 10 people to 30+ is a plus.
- Experience with AI platforms and Azure Machine Learning is relevant to the role.
Conditions
- Competitive benefits package including healthcare coverage, basic life insurance, and short- and long-term disability insurance, according to applicable benefit plans.
- Fully remote work within the United States.
- Opportunity to work alongside experienced professionals in a collaborative and open-door environment.
- Exposure to large-scale, globally impactful technology projects and opportunities to expand your expertise.
- Internal learning opportunities through meetups, conferences, workshops, Udemy access, and language courses.
- Company-paid professional certifications to support continued technical and career development.
- Opportunities for internal mobility across different domains and technology areas.
- Hands-on exposure to cutting-edge AI, machine learning, and digital transformation initiatives.
- Opportunity to lead and influence AI engineering practices across multidisciplinary teams and delivery environments.