Senior Applied AI Engineer · Healthcare Blueprint

Deliverance AI; United States; Hybrid; USD 159,000 - 238,000; Full time

Benefits offered by this job

Seed-stage equity allocation

Remote-friendly UK/EU & global time-zs

Cash compensation benchmarked toLondon

Job summary

Deliverance AI in London seeks a Senior Applied AI Engineer to build production-ready domain blueprints that turn clinical and regulatory expertise into governed agents and reusable skills.

You will emphasize safety, accuracy, and governance while collaborating with customer-facing teams to deliver systems into regulated production environments. Remote-friendly across UK/EU and global time zones.

Qualifications

• Production-ready AI systems experience.

Responsibilities

• Develop healthcare and life-sciences agents, skills, and knowledge packs.
• Encode governance and safety controls into workflows.
• Ground agent outputs in clinical and regulatory knowledge with evaluation approaches.
• Establish quality checks for reliability, safety and compliance.
• Collaborate with customers and deployment teams during production rollouts.
• Refine workflows to meet governance and operations standards.

Skills

Production-grade AI systems

Software engineering fundamentals

Healthcare/Life sciences domain

Safety governance risk management

AI evaluation methods

Delivery-oriented mindset

Job description

Role overview

As a Senior Applied AI Engineer for healthcare and life sciences, you will build a production-ready domain blueprint that turns clinical and regulatory expertise into governed agents and reusable skills. The role requires careful attention to safety, accuracy, evaluation and compliance while working with customer-facing engineering teams to deliver systems into regulated production. This is a full-time role based in London with remote flexibility.

Responsibilities

• Develop healthcare and life-sciences agents, skills, orchestration patterns and knowledge packs.
• Encode domain governance, including GxP-aware controls, directly into operational workflows.
• Ground agent outputs in clinical and regulatory knowledge using appropriate evaluation approaches.
• Establish quality checks that assess factual reliability, safety and compliance-not only demo performance.
• Partner with customers and forward-deployed engineering teams during production rollouts.
• Refine workflows until they satisfy the required governance and operational standards.

Requirements

• Applied AI or LLM engineering experience with systems that reached production.
• Strong software engineering fundamentals and an ability to build dependable services.
• Experience in healthcare, pharmaceuticals or life sciences is strongly preferred.
• A disciplined approach to safety, accuracy, governance and risk.
• Practical experience designing or applying evaluation methods for AI systems.
• A delivery-oriented mindset suited to shipping robust systems in complex environments.

Benefits and work setup

• Full-time position with London listed as the primary location and remote work available.
• Remote-friendly arrangements across the UK, EU and selected global time zones.
• Seed-stage equity allocation for each hire.
• Cash compensation benchmarked against leading London and remote-market roles.