Applied AI Engineer, Healthcare Life Sciences

OpenAI

. Design, build, evaluate, and deploy AI systems from prototype to reliable production and scaled adoption .

Posted 11/6/2026full-timeUnited StatesMid-LevelSenior💰 $251,000 - $278,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and deploying AI systems in enterprise environments, with a strong focus on Python programming, data governance, and collaboration with cross-functional teams. Proven ability to translate customer needs into technical solutions while ensuring compliance with security and privacy standards.

Highest-signal resume keywords

AI System Design and DeploymentPython ProficiencyEnterprise Production RequirementsHealthcare or Life Sciences ExperienceTechnical Communication

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

AI System DevelopmentMachine LearningData PipelinesModel EvaluationIntegration DevelopmentObservabilitySecurity and Privacy ComplianceTechnical ArchitecturePrototype to Production DeploymentAutomated Graders

Soft Skills

Clear CommunicationCollaborationProblem-SolvingAdaptabilityConstructive Challenge

Tools & Technologies

PythonJavaScriptTypeScriptData Handling ToolsMonitoring ApproachesEvaluation StrategiesAgent and Tool DevelopmentProduction Operations

Industry Keywords

Enterprise EnvironmentsHealthcareLife SciencesData GovernanceRegulated EnterprisesInteroperabilitySensitive Data

Tech Stack

Tools & technologies

JavaScriptPythonTypeScriptGo

About the role

Key responsibilities & impact

Design, build, evaluate, and deploy AI systems from prototype to reliable production and scaled adoption
Solve important customer problems and deliver measurable business outcomes
Partner with enterprise customers to identify high-value opportunities
Translate opportunities into technical architectures, implementation plans, evaluation strategies, and success criteria
Make technical decisions across model selection, agent and tool design, retrieval, context design, data pipelines, evaluation, reliability, observability, latency, cost, safety, security, and governance
Diagnose complex implementation challenges, reproduce failures, test hypotheses, and drive blockers to resolution
Collaborate with customers’ engineering teams and OpenAI’s Product, Research, Engineering, Security, and Go-to-Market teams
Turn deployment experience into actionable product feedback
Partner with customer security, privacy, clinical, and business teams to design responsible AI deployments
Design data handling, access controls, evaluation, human oversight, and monitoring approaches
Create reusable architectures, tooling, playbooks, and technical guidance for future enterprise deployments

Requirements

What you’ll need

Personally designed, built, and shipped AI or machine-learning systems in enterprise environments from prototype to production
Highly proficient in Python
Comfortable working end to end across model APIs, agent and tool development, retrieval and data pipelines, evaluation, observability, integrations, and production operations
Experience with JavaScript, TypeScript, or another relevant language is valuable
Ability to evaluate AI systems systematically using representative data, automated graders, production signals, and human judgment
Experience navigating enterprise production requirements, including integrations, reliability, observability, security, privacy, data governance, performance, and cost
Experience delivering AI or software in healthcare, life sciences, or similarly complex regulated enterprises
Familiarity with sensitive data, legacy systems, and interoperability
Ability to connect technical decisions to customer workflows, adoption, and measurable business outcomes
Clear and credible communication with hands-on engineers, technical leaders, security and product teams, and executives
End-to-end ownership and strong technical judgment
Healthcare or life sciences experience strongly preferred
Willingness to learn quickly, challenge assumptions constructively, and collaborate with humility

Benefits

Comp & perks

Equity
Performance-related bonus(es) for eligible employees
Medical, dental, and vision insurance for you and your family
Employer contributions to Health Savings Accounts
Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses
401(k) retirement plan with employer match
Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents)
Paid medical and caregiver leave (up to 8 weeks)
Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees
13+ paid company holidays
Multiple paid coordinated company office closures throughout the year
Paid sick or safe time
Mental health and wellness support
Employer-paid basic life and disability coverage
Annual learning and development stipend
Daily meals in offices
Meal delivery credits as eligible
Relocation support for eligible employees
Charitable donation matching
Wellness stipends may also be provided