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Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
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Artificial Intelligence • Insurance • Machine Learning • Software • Analytics
Lead complex modeling projects combining deep learning, LLMs, and traditional techniques. Prototype, deploy, and monitor production models, mentor data scientists, collaborate with engineering/product, and translate results into business impact for insurance customers.
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This position is fully remote opportunity
Gradient AI is revolutionizing Group Health and P&C insurance with AI-powered solutions that help insurers predict risk more accurately, improve profitability, and automate underwriting and claims. Our SaaS platform taps into one of the industry’s largest data lakes—tens of millions of policies and claims—to deliver deep, actionable insights. Trusted by leading carriers, MGAs, TPAs, and self-insured employers, Gradient AI has grown rapidly since our founding in 2018. Backed by $56M in Series C funding, we're scaling fast—and it's an exciting time to join the team.
About the Role:
We are looking for a Staff DevOps Engineer to help us build functional systems that improve customer experience. You will be responsible for deploying product updates, identifying production issues, and implementing integrations that meet our customers’ needs.
How you will make an impact:
- Building and setting up new development tools and infrastructure
- Understanding the needs of stakeholders and conveying this to developers
- Designing, automating and improving development and release processes
- Developing, updating and managing Infrastructure as Code
- Ensuring that systems are safe and secure against cybersecurity threats
- Partner with cross-functional stakeholders to maintain and continuously improve core processes.
- Mapping out projects and being involved in project management decisions
- Owning project architecture through implementation
Skills needed to succeed:
- 7+ years of experience in a DevOps role
- Expert in Amazon Web Services infrastructure management
- Demonstrated ability working with Infrastructure as Code using Terraform
- Proficient in orchestrating infrastructure and environment builds, as well as automating recurring tasks
- Strong understanding of network fundamentals (TCP/IP + OSI model layers 3 - 7)
- Strong understanding of application, environment, and infrastructure security
- Worked in a compliance environment (such as SOC2 or HITRUST)
Nice to Have:
- Experience in container orchestration, preferably ECS and Kubernetes
- AWS Professional DevOps Engineer certification
- Knowledge or experience developing and maintaining Machine Learning Operations
- Experience managing a Business Intelligence Service like Tableau
- BS in Computer Science, Engineering, or relevant field
What We Offer:
- A fun, team-oriented startup culture.
- Generous stock options - we all get to own a piece of what we’re building.
- Unlimited vacation days.
- Flexible schedule that supports working from home.
- Full benefits package includes medical, dental, vision, 401k, paid paternal leave, and more.
- Ample opportunities to learn and take on new responsibilities.
We are an equal opportunity employer.
Gradient AI Boston, Massachusetts, USA Office
Our headquarters are in the Seaport area with plenty of restaurants and coffee shops close by. Plus, it's easy to get to from public transportation.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
