Applied AI Engineer

SOPHiA GENETICS•Boston, MA

18h•$88,000 - $168,000•Hybrid

About The Position

Join the SOPHiA GENETICS team as our new Applied AI Engineer and enable us to build the internal capabilities that accelerate our mission of democratizing data-driven medicine for patients worldwide. This is a hybrid opportunity, requiring 3 days onsite our corporate office in Boston, MA. We believe there is a smarter, more data-driven way to make decisions in healthcare and our cloud-native AI powered SOPHiA DDM Platform makes that vision a reality on a daily basis. You will have direct input to our mission to democratize data-driven medicine for the ultimate benefit of cancer and rare disease patients across the globe. We're hiring an applied AI engineer to embed across our company, build internal products and automations, and help our tech and product organization work better with the rest of the business. You'll move function by function — sales, finance, operations, R&D, marketing — shipping the tooling and AI workflows each team needs. Reporting to our Head of Corporate Strategy, you will also act as a key partner to the our tech and product teams for best practices on delivery, roadmap success, and cross-functional alignment.

Requirements

5+ years of experience with a senior engineer or product manager background from a top tech company building complex products.
Strong hands-on building skills — you ship working software, not just diagrams. AI fluency is essential (LLMs, automation, modern AI tooling).
Dialed into modern engineering and product practices.
Confident operator - you can walk into any function, diagnose what's broken, and drive change.
Strong change management instincts - you can win over skeptical teams and make new ways of working stick.
Comfortable moving between strategy conversations and shipping code in the same week.

Responsibilities

Build internal products and automations: Embed with teams across the company, identify high-leverage opportunities, and ship AI-powered tools and workflows that change how the work gets done.
AI enablement: Bring modern AI capabilities into every function and help teams adopt them.
Process and tooling improvements: Examine and improve internal tooling, data flows, and processes — including end-to-end data architecture, starting with sales.
Internal consulting on tech and product practices: Partner with engineering and product leadership on team structure, roadmap discipline, ownership, and modern ways of working (SCRUM, code reviews, retros).
Tech reporting and monitoring: Own how we report on tech and product performance internally, and continuously improve it.
Cross-functional alignment: Support tech and product communications and alignment with the rest of the business.
Hands-on delivery support: Sometimes roll up your sleeves and help teams ship.