Manager, AI Engineering

Inovalon, REMOTE - US

What you will do

Lead, coach, and develop an existing team of 5+ engineers through clear expectations, regular one-on-ones, structured feedback, and support for hiring and onboarding.
Own end-to-end engineering execution, including planning, prioritization, delivery quality, team health, and production incident response.

What you need

Who You Are

You are a hands-on technical leader who turns AI strategy into reliable, compliant products that create measurable value for healthcare organizations. As Manager, AI Engineering, you lead and develop an established team while staying close to the technology to guide architecture, review technical decisions, and help solve complex engineering problems. You sit within the AI organization, report to the Director of AI, and partner closely with Product, Security, Legal, Compliance, and executive stakeholders to deliver production AI systems at scale.

What You'll Need

10+ years of total experience in software engineering, machine learning, or data science, with 3–5 years of people management experience leading teams of 3–5 engineers or data scientists.
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, Statistics, or a related field, or equivalent combination of education and experience required.
Proven experience delivering both classical ML and LLM-based or agentic applications into production, and owning the technical architecture of AI systems end to end.
Experience working with sensitive or regulated data, with healthcare strongly preferred.
Strong expertise in end-to-end AI solution design, classical ML, LLMs and document AI, agentic AI, RAG pipelines, vector databases, Python, SQL, CI/CD, Docker, Kubernetes, AWS, MLflow, observability tools, and data pipelines using Spark or Airflow.
Experience coaching, mentoring, performance management, hiring, Agile/Scrum delivery, and communicating complex AI concepts to product, clinical, compliance, and executive stakeholders.
Demonstrate Growth Potential & Learning Agility by quickly learning new AI methods, tools, and healthcare use cases and applying that learning to improve team performance and product outcomes.
Demonstrate Leadership by developing engineers, influencing cross-functional partners, building strong relationships across distributed teams, and balancing hands-on technical work with management responsibilities.
Demonstrate Adaptability by adjusting priorities, delivery plans, and technical approaches in response to ambiguity, changing business needs, and evolving product requirements.
Demonstrate Creative Thinking by designing practical, innovative AI solutions that solve real business problems and create measurable value.
Demonstrate Analytical Skills by evaluating technical and business trade-offs, identifying patterns in data and system performance, and using evidence to guide architecture and delivery decisions.
Nice to have: Experience building AI products for healthcare organizations; experience training or pre-training LLMs, including data curation, distributed training, and domain-specific model evaluation; knowledge of the U.S. healthcare system, including payer and provider operations, reimbursement models, and healthcare regulations; publications, patents, or open-source contributions in AI/ML or clinical NLP.

Work Environment

This is primarily a computer-based role performed in a remote, hybrid, or office environment. The role requires prolonged periods of computer use and frequent communication and interaction with others, either virtually and/or in person. The role may occasionally require transporting or moving work-related equipment weighing up to 10 pounds, such as a laptop and related materials. Some travel may be required, depending on the needs of the role. Reasonable accommodations may be provided to enable qualified individuals with disabilities to perform the essential functions of the position, consistent with applicable law.

This position is not eligible for immigration sponsorship (e.g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions)

If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles.

By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth.

To review the legal requirements, including all labor law posters, please visit this link https://postings.govdocs.com/#/8sZXnFNWk3KYs3F

To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link https://www.inovalon.com/privacy-policy/

Work Location: If the US position is listed as remote, employees who reside within a 40-mile radius of one of our office locations in Tampa, FL; Canonsburg, PA; or Bowie, MD will follow a hybrid work schedule and are expected to work in the office two days per week (Tuesdays and Wednesdays).

Manager, AI Engineering

What you will do

Manager, AI Engineering

What you will do

What you need

Who You Are

What You'll Need

Our Shared Commitments

Work Environment

About Inovalon

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