AI/ML Engineer / Forward Deployed Engineer – Healthcare

Zoho; Catonsville (MD); On-site; USD 90,000 - 160,000; Full time

Job summary

Zoho is seeking an experienced AI/ML Engineer / Forward Deployed Engineer in Catonsville, MD. You will own technical delivery for major healthcare payer customers, building AI/ML solutions and data pipelines, and working directly with enterprise teams to deploy production-grade systems.

You will prototype solutions, evaluate outputs for accuracy and reliability, and contribute to the product roadmap with a strong focus on customer outcomes.

Qualifications

• 3+ years of experience in software, data engineering, or ML engineering.
• Strong hands-on experience with Python and modern AI/ML tech.
• Experience building and deploying production-grade systems.
• Ability to work across application, data, and model layers.
• Healthcare payer workflows knowledge is a plus.
• Experience with LLMs, ML systems, APIs, data pipelines, and integrations.
• Ability to translate business problems into technical solutions.
• Strong communication skills with enterprise customers.
• Focus on production-quality solutions and measurable outcomes.

Responsibilities

• Own technical delivery for major healthcare payer customers from problem definition to production.
• Collaborate with customer business, clinical, data, and technology teams.
• Build and integrate AI/ML solutions, LLMs, APIs, rules, and data pipelines.
• Prototype rapidly and scale successful approaches to production.
• Diagnose challenges across apps, models, data, infrastructure, and integrations.
• Evaluate AI outputs for accuracy, reliability, explainability, and usefulness.
• Develop understanding of payer workflows and contribute to roadmap.
• Take end-to-end ownership of complex technical problems.

Skills

Experience in software engineering

ML engineering

Data engineering

Strong communication

Problem solving

Tools

Python

LLMs

APIs

Data pipelines

Enterprise integrations

Job description

Catonsville, United States | Posted on 11/15/2026

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 .

? What You'll Do

• 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.

Requirements

? What We're Looking For

• 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.
• Understanding of healthcare payer workflows such as claims adjudication, payment integrity, utilization management, pharmacy, or prior authorization is a plus.
• Experience with LLMs, ML systems, APIs, data pipelines, and enterprise integrations is highly valuable.
• 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 .

Healthcare payer data, claims, HIPAA-regulated environments, LLMs, or enterprise healthcare integrations experience will be a strong advantage.