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Staff AI Engineer

Datavant2

Remote - United States (Remote - United States) Remote permanent

Posted: March 26, 2026

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Quick Summary

Datavant is a data collaboration platform trusted for healthcare, providing critical data solutions for healthcare organizations.

Job Description

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the world’s health data secure, accessible and actionable, we provide critical data solutions for organizations across the healthcare ecosystem - including providers, health plans, researchers, and life sciences companies. From fulfilling a single patient’s request for their medical records to powering the AI revolution in healthcare, Datavanters are building the future of how data is connected and used to improve health.

By joining Datavant today, you’re stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.

Senior AI Engineer

Join Us in Building the Future of AI in Healthcare

Datavant is seeking engineers who are product-oriented and motivated to shape how AI is applied in healthcare.

Our Life Sciences technology powers clinical research, real-world evidence generation, pharmacovigilance, and secure data collaboration. As an AI Engineer, you will build intelligent systems on top of high-quality, privacy-preserving healthcare data supporting pharmaceutical companies, biotech innovators, and research organizations in making better decisions.

The Role

You will build agent-driven applications and AI systems that combine model reasoning with deterministic systems and healthcare data, with a focus on reliability, evaluation, and production readiness. You will also design and deploy agentic systems, LLM harnesses, and evaluation workflows that integrate models, structured data, and production services into real-world applications.

What You’ll Do

Agent Development

• Design and implement agentic workflows including tool use, retrieval, and multi-step reasoning

• Build AI-driven applications that integrate LLMs with APIs, data pipelines, and analytics systems

• Develop reusable abstractions for context management, tool use, and orchestration

Harness Engineering

• Design and build LLM harnesses that structure how agents operate in production

• Create frameworks for prompt management, context injection, execution loops, and agent control flow

• Standardize patterns for integrating models with internal systems and external APIs

Evaluation

• Use and extend evaluation frameworks to measure correctness, reliability, and safety

• Define metrics for model performance within real workflows

• Build datasets and test cases to validate agent and system behavior over time

Systems & Infrastructure

• Integrate AI capabilities into production backend services

• Design pipelines combining retrieval, structured data, and model reasoning

• Optimize latency, cost, and scalability of AI-powered systems

Reliability & Observability

• Implement logging, tracing, and monitoring for agent behavior and outputs

• Debug and improve multi-step system performance and failure modes

Collaboration

• Partner with Product, Data, and Science teams to build AI-driven solutions

• Contribute to AI platform and architectural decisions

• Mentor engineers on AI engineering practices

Ways of Working

• Practice compound engineering: treat each system as an opportunity to improve how future systems are built

• Work in iterative loops across humans and agents: build, evaluate, refine, and codify

• Capture learnings from failures, evaluations, and edge cases, and encode them into prompts, tools, and workflows

• Build reusable assets such as agent patterns, harness components, and evaluation utilities that improve over time

• Contribute to systems and engineering practices that become more reliable and easier to extend with each iteration

What You’ll Bring

Required

• 5+ years of software engineering experience

• Experience building applications with LLMs or agent frameworks

• Experience integrating APIs, data systems, and model outputs

• Strong understanding of system design, testing, and production reliability

Preferred

• Experience building LLM harnesses or agent frameworks

• Experience using evaluation frameworks for LLM systems

• Familiarity with retrieval systems, vector databases, or RAG patterns

• Experience with cloud platforms such as AWS, GCP, or Azure

• Experience in healthcare or other regulated environments

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services.

The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job.

The estimated total cash compensation range for this role is:
$220,000—$275,000 USD

To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion.

This job is not eligible for employment sponsorship.

Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here. Know Your Rights, explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay.

At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren’t even able to see whether you’ve responded.) Responding is entirely optional and will not affect your application or hiring process in any way.

Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, by selecting the ‘Interview Accommodation Request’ category. You will need your requisition ID when submitting your request, you can find instructions for locating it here. Requests for reasonable accommodations will be reviewed on a case-by-case basis.

For more information about how we collect and use your data, please review our Privacy Policy.

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