Forward Deployed Engineer (SW Engineer IV+)

How you will help

Accelerate customer and partner needs into clear, reliable, and scalable data and AI solutions, while strengthening HealthVerity’s engineering framework through real-world application and feedback.

As a Forward-Deployed Engineer at HealthVerity, you will embed with customers and cross-functional teams to rapidly translate complex business problems into well-designed data flows, AI-enabled capabilities, and production-ready systems. You will help turn fragmented or bespoke customer requirements into smooth, repeatable data processes that align with our platform strategy.

Through hands-on delivery, you will also advance HealthVerity’s engineering and AI frameworks; validating patterns, surfacing gaps, and shaping standards that make it easier for teams to build, deploy, and operate intelligent data products at scale.

 

What you will do

• Lead technical discovery engagements with customers or internal partners to deeply understand business workflows, constraints, data realities, and success criteria.
• Rapidly prototype and iterate on pragmatic solutions; often using AI/ML, data pipelines, and backend services to validate value early and reduce delivery risk.
• Design and deliver production ready systems, including APIs, data pipelines, ML workflows, and cloud-native services, aligned with HealthVerity’s architecture and security standards.
• Own deployments and scaling efforts, troubleshooting complex issues across data, infrastructure, and application layers in real customer environments.
• Translate field learnings into leverage, feeding actionable insights back into product strategy, platform roadmap decisions, and reusable engineering patterns.

How success will be defined

• Successfully deliver multiple high-impact customer or partner engagements, translating ambiguous business needs into production-ready technical solutions.
• Drive adoption and demonstrated the value of HealthVerity platform capabilities within real customer environments.
• Build strong, trusted relationships with customers and internal stakeholders, reflected in consistently positive feedback on technical delivery and collaboration.
• Influence product and platform direction by bringing concrete, field-driven insights into roadmap, architecture, and prioritization discussions.
• Leave behind durable, maintainable solutions and reusable patterns that scale beyond individual engagements.

Required skills and experience

• 8+ years of software engineering experience, delivering production systems in Python, and/or JavaScript/TypeScript.
• Experience building data-intensive, distributed systems, including APIs, data pipelines, and cloud-native services (AWS or similar).
• Demonstrated experience owning and productionizing AI/ML solutions—taking them beyond experimentation into reliable, monitored workflows and systems
• Strong ability to operate in ambiguous, customer-driven problem spaces and make sound technical decisions.
• Clear communicator with the ability to work effectively across engineering, product, and customer teams.

Desired skills and experience

• Experience working in regulated or compliance-driven environments (e.g., healthcare, life sciences, financial services).
• Background in customer-facing or domain-embedded engineering roles (e.g., forward-deployed, solutions, or consulting).
• Familiarity with modern data platforms and analytical workloads (e.g., Databricks, Spark, Snowflake).
• Experience influencing product or platform direction through real-world delivery or field-driven insights.

 

Base salary for the role is commensurate with experience and can range between $170,000 - 220,000 + annual bonus opportunity.