Forward Deployed Engineer (AI Solutions) - Atrix
New York City • FullTime
Posted 10mo ago
Job Location
New York City
Tech Stack
Remote Work Policy
On-site
Employment Type
FullTime
Categories
AI Engineer
About the job
Atrix is seeking a Forward Deployed Engineer (AI Solutions) to join their team. This role sits at the intersection of engineering, implementation, and customer value, partnering directly with enterprise pharma and biotech teams. You will transform complex scientific workflows into reliable, AI-powered systems to accelerate evidence generation, medical strategy, commercial insights, and patient impact. As a technical owner of key customer accounts, you will embed deeply into their workflows, translate needs into requirements, configure Atrix's AI-native platform, and ensure accuracy and trust. This is a hybrid role based in NYC, requiring office presence but offering flexibility for remote work.
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 from onboarding to go-live and 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 evaluations 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.
Requirements
- 2-5 years in forward deployed engineering, software engineering, solutions engineering, technical consulting, ML implementation, data engineering, or adjacent roles.
- CS degree required if previous roles were not software engineering.
- Strong Python experience.
- Comfortable with light FE work in React/TS.
- Ability to write evaluations 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 details in high-stakes workflows.
- Thrives in customer-facing environments and enjoys owning outcomes.
- Startup experience strongly preferred.
- Background in life sciences, healthcare, or real-world data is a plus.
- Data science experience is a plus.
- Work experience at healthcare AI startups or technical consulting firms is a plus.
- Experience deploying AI in regulated or enterprise settings is a plus.
Benefits
- Health & wellness support – Stipe
- Mission-Driven Impact: Help life sciences teams deliver the right treatment to the right patient faster.
- Customer-Centric & High-Stakes: Work directly with top-10 pharma companies.
- End-to-End Ownership: Own major parts of the stack, shape technical architecture, and influence product direction.
- Early Stage, High Growth: Help shape technology and culture as the company scales.
- Tech Meets Trust: Design AI-native workflows that scientific and medical teams trust.
- Clear Growth Path: Opportunity to grow into a Lead Frontend or Fullstack Tech Lead role.