AI Consultant / AI Adoption Lead helping organizations understand AI as a catalyst for transformation. Engage with clients to design workflows and guide AI adoption for measurable impact.
About the role
- Forward Deployed Engineer at Atrix collaborating with pharma teams to create AI-driven medical solutions. Leading implementations, prototyping, and ensuring AI trust and accuracy in workflows.
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
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
Benefits
- Health & wellness support – Stipend + medical (vision, dental, health) insurance coverage
- Unlimited PTO – Recharge when you need to
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
AI Automation & Enablement Lead for GoMaterials revolutionizing procurement processes through AI automation and tooling. Identifying and scaling high - impact automation across teams while measuring ROI.
Manager of Automation and AI leading a development team at creditors’ rights law firm RAS LaVrar. Focusing on automation, application development, and AI solutions to integrate with the Collections platform.
Measurement Lead for Yum's AI transformation, enhancing AI readiness and driving automation initiatives across teams. Collaborate to improve productivity and operational speed.
ML Modeling Lead for improving Renewals process at Salesforce through AI and data integration. Focusing on technical solutions and stakeholder collaboration for future needs.
Director level Data & AI leader at Kyndryl shaping impactful products and services. Engaging with executives to drive AI adoption and scale across complex organizations.
Senior AI/ML Scientist designing and deploying ML solutions for vehicle diagnostics and predictive maintenance. Utilizing cutting - edge AI technologies in a remote/hybrid environment.
Head of AI leading Qliro's AI strategy and transformation initiatives for next - generation payments. Driving adoption, managing budgets, and collaborating with multiple stakeholders across the company.
Trainer for AI, Automation, and Microsoft365 at E.ON Digital Technology. Leading interactive workshops and developing training programs for colleagues across Europe.
Intern supporting AI transformation at BMW Group's GenAI Self - Service Platform. Contributing to efficiency and compliance in a project environment with an international development team.