Forward Deployed Data Engineer (AI)

Location: Hybrid in Acton, Massachusetts or San Diego, California, United States.

Annual base salary: $143,700.00–$215,550.00, with possible incentive compensation.

Company

hirify.global is a medical device company developing the Omnipod platform for insulin delivery and other therapeutic applications.

What you will do

• Partner with business, product, analytics, AI, platform, security, privacy, quality, and compliance teams to identify high-value data and AI opportunities.
• Translate ambiguous business challenges into data product charters, architecture hypotheses, experiments, MVPs, and scalable delivery plans.
• Design and deliver AI-ready data foundations, context layers, governed agentic workflows, and production-grade data products.
• Build and operate batch, streaming, event-driven, API-based, and change-data-capture solutions with strong observability and reliability.
• Lead data products from discovery and architecture through deployment, adoption, observability, and continuous improvement.
• Lead and develop Data Engineers and cross-functional delivery professionals while creating reference architectures, reusable components, engineering playbooks, and communities of practice.

Requirements

• Bachelor’s or Master’s degree in computer science, engineering, data science, information systems, or a related technical field.
• 10+ years of experience in data engineering, software engineering, platform engineering, or data architecture, including leadership of complex enterprise delivery.
• Ability to design, code, test, deploy, and operate cloud-scale data products using modern engineering practices.
• Strong experience with distributed data processing, data modeling, orchestration, APIs, event streaming, DevOps, DataOps, observability, and infrastructure as code.
• Practical understanding of generative AI, large language models, retrieval-augmented generation, vector search, AI agents, model integration, and AI-assisted software development.
• Ability to lead data products from discovery through MVP, production deployment, adoption, and continuous improvement.

Nice to have

• Experience in healthcare, medical devices, life sciences, diabetes care, digital health, or regulated industries.
• Experience with AWS, Azure, Databricks, Snowflake, Kafka, dbt, Spark, Kubernetes, Terraform, GitHub, or similar enterprise technology ecosystems.
• Experience establishing data product operating models, data contracts, semantic layers, real-time architectures, or self-service engineering platforms.
• Experience modernizing legacy data estates and integrating ERP, CRM, manufacturing, supply chain, quality, commercial, clinical, or connected-device data.
• Familiarity with privacy, security, validation, responsible AI, auditability, and enterprise governance requirements for data and AI solutions.

Culture & Benefits

• Medical, dental, and vision insurance.
• 401(k) with company match.
• Paid time off and employee wellness programs.
• Work in an Enterprise AI and Data organization focused on measurable business impact, trusted data, reusable architecture, and modern engineering practices.
• Employment opportunity with consideration for all qualified applicants without regard to protected characteristics.