AI/ML Engineer / Forward Deployed Engineer – Healthcare

Trulogik • Catonsville, MD

5d

About The Position

We’re looking for an experienced AI/ML Engineer / Forward Deployed Engineer who enjoys solving real-world problems at the intersection of Engineering, AI, Healthcare, and Customer Success.

The role owns technical delivery for major healthcare payer customers, from problem definition through production deployment. It works directly with customer business, clinical, data, and technology teams to build and integrate AI/ML solutions, LLMs, APIs, rules, and data pipelines. The engineer rapidly prototypes solutions and takes successful approaches into production, diagnosing challenges across applications, models, data, infrastructure, and integrations. The role also evaluates AI outputs for accuracy, reliability, explainability, and operational usefulness, develops a deep understanding of healthcare payer workflows, contributes to the product roadmap, and takes end-to-end ownership of complex technical problems.

Requirements

• 3+ years of experience in Software Engineering, Data Engineering, ML Engineering, or a related technical field.
• Strong hands-on experience with Python and modern AI/ML technologies.
• Experience building and deploying production-grade systems, not just prototypes.
• Ability to work across application, data, and model layers.
• Ability to translate ambiguous business problems into practical technical solutions.
• Strong communication skills and comfort working directly with enterprise customers.
• Ability to quickly learn unfamiliar systems and troubleshoot complex technical problems.
• Strong focus on production-quality solutions and measurable customer outcomes.

Nice To Haves

• Understanding of healthcare payer workflows such as claims adjudication, payment integrity, utilization management, pharmacy, or prior authorization.
• Experience with LLMs, ML systems, APIs, data pipelines, and enterprise integrations.
• Healthcare payer data, claims, HIPAA-regulated environments, LLMs, or enterprise healthcare integrations experience.

Responsibilities

• Own technical delivery for major healthcare payer customers, from problem definition through production deployment.
• Work directly with customer business, clinical, data, and technology teams.
• Build and integrate AI/ML solutions, LLMs, APIs, rules, and data pipelines.
• Rapidly prototype solutions and take successful approaches into production.
• Diagnose challenges across applications, models, data, infrastructure, and integrations.
• Evaluate AI outputs for accuracy, reliability, explainability, and operational usefulness.
• Develop a deep understanding of healthcare payer workflows and contribute to the product roadmap.
• Take end-to-end ownership of complex technical problems.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed