Forward Deployed Engineer (SW Engineer IV+)

HealthVerityPhiladelphia, PA
4dHybrid

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • 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.

Responsibilities

  • 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.

Benefits

  • competitive base salary & annual bonus opportunity (for non-commissioned roles)
  • We offer a 401(k) plan and stock options.
  • Health, dental, and vision coverage start on day 1, while 401(k) eligibility and stock options follow soon after.
  • Remote workdays and 3 days a week of in-office collaboration for team members in the Philadelphia area.
  • Take time off as needed, targeted at 4 weeks per year, including vacation, personal and sick time, plus paid parental leave.
  • 12 weeks paid leave for childbearing, surrogacy, and adoption; 6 weeks for non-childbearing parents.
  • mentorship program, departmental talks, and a library of resources are available beginning day 1 for each new team member to minimize the stress of starting a new job
  • biweekly 1:1s, hands-on leadership that is goal-and growth-oriented for each team member, and an annual budget to support professional development pursuits
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