Forward Deployed Engineer (AI Solutions) - Atrix

Pear VC•New York, NY

24d•Hybrid

About The Position

As a Forward Deployed Engineer, you will sit at the intersection of engineering, implementation, and customer value. You’ll partner directly with enterprise pharma and biotech teams to turn complex scientific workflows into reliable, AI-powered systems that accelerate evidence generation, medical strategy, commercial insights, and patient impact. You will become the technical owner of several key customer accounts, embedding deeply into their workflows, translating their needs into structured requirements, configuring Atrix’s AI-native platform, and ensuring accuracy, trust, and real-world reliability. This is one of the most impactful roles at Atrix. You’ll see your work used daily by medical, clinical, and commercial teams making high-stakes decisions. You’ll work closely with our Engineering Team and CEO, and collaborate as a peer to product, design, and GTM leadership. As one of our earliest FDEs, you’ll help define technical architecture, influence product strategy, and set the tone for future engineering hires. 💡 This is an hybrid role based in NYC (ability to be in office is required), with flexibility for remote work on some days as needed. This role is perfect for someone who is customer-obsessed, technically fluent, and thrives in fast-moving startup environments. If you love the challenge of translating AI workflows into intuitive product experiences in a high-stakes industry, we want to talk to you.

Requirements

2–5 years in forward deployed engineering, software engineering, solutions engineering, technical consulting, ML implementation, data engineering, or adjacent roles
CS degree is required if non-software engineering role held in past.
Strong Python experience; comfortable doing light FE work in React/TS
Ability to write evals and optimize Ai-driven workflows.
Ability to translate complex technical ideas to a smart, non-technical scientific audience
Experience working with LLMs, prompt engineering, or AI-native tools (e.g., Claude code, Cursor)
Obsession with accuracy, reliability, and the details that matter in high-stakes workflows
Thrives in customer-facing environments and enjoys owning outcomes, not just tasks
Startup experience strongly preferred

Nice To Haves

Background in life sciences, healthcare, or real-world data
Data science experience
Work experience at healthcare AI startups or technical consulting firms
Experience deploying AI in regulated or enterprise settings

Responsibilities

Configure Atrix templates, pipelines, and AI workflows to match complex scientific and medical processes
Set up and validate customer-approved data sources
Ensure accuracy, reliability, and trust in AI-generated outputs
Drive the full implementation lifecycle: onboarding → configuration → validation → go-live → iteration
Lead weekly customer calls and serve as the primary technical point of contact
Build quick prototypes and workflow experiments for GTM initiatives
Translate customer needs into clear product requirements
Triage bugs, uncover feature gaps, and partner with engineering to implement fixes or enhancements
Shape product roadmap with insights drawn from real-world usage
Own business-sense QA and accuracy validation for customer deployments
Identify risk, propose guardrails, and define scalable validation processes
Enable AI evals to ensure high trust and quality of all workflows
Create internal SOPs for deployment, QA, template configuration, and customer onboarding
Own 3–5 enterprise accounts end-to-end within 6 months
Identify patterns across accounts and surface scalable templates or product opportunities
Become a trusted technical advisor to medical, clinical, and commercial stakeholders