Clinical AI Engineer

Warman O'Brien; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Warman O'Brien is seeking a Clinical AI Engineer to join our technology team. You will design AI‑enabled solutions for clinical data, devices and digital health platforms, collaborating with Engineering, Product, Data and QA to deliver production‑level systems in regulated environments.

You will build scalable data pipelines, develop reusable integration frameworks and deploy AI‑driven workflows using LLMs and intelligent automation while ensuring alignment with GxP/21 CFR Part 11 and medical

Qualifications

• 5+ years of software engineering, data engineering or AI engineering experience.
• Strong Python development and production‑grade software experience.
• Experience designing APIs, data pipelines and system integrations.
• Hands‑on experience with LLMs, RAG, agentic AI or AI‑enabled apps.
• Experience with AWS and containerization (Docker, Kubernetes).
• Strong SQL and relational database experience.

Responsibilities

• Design and build integrations across clinical tech platforms and APIs.
• Develop scalable data pipelines transforming raw data into analysis‑ready information.
• Create reusable integration frameworks and APIs to avoid bespoke solutions.
• Develop AI‑enabled workflows using LLMs, RAG and AI agents.
• Apply AI to improve software development, data processing and study configuration.
• Integrate data from wearables, sensors and digital health technologies.
• Work with streaming data; handle ingestion, validation and quality control.

Skills

Python

APIs & data pipelines

LLMs / RAG / AI agents

AWS

CI/CD

SQL

Education

Bachelors or higher in CS or related field

Tools

Docker

Kubernetes

Kafka

SQS

Job description

We are representing a growing clinical technology organisation that is developing digital solutions designed to improve the way clinical trial data is collected, integrated and used.

They are looking for a Clinical AI Engineer to join their technology team and help build scalable AI-enabled solutions across clinical data, connected devices and digital health platforms.

This is a hands‑on engineering role for someone who enjoys working across AI, software engineering, data pipelines and clinical technology, and who wants to help develop production solutions that can be deployed within highly regulated clinical research environments.

The Role

You will work closely with Engineering, Product, Data, Clinical and Quality teams to design and deliver AI-enabled technology that supports clinical trials and digital health programmes.

Key responsibilities will include:

• Design and build integrations across clinical technology platforms, connected devices, vendor APIs and digital health solutions.
• Develop scalable data pipelines that transform raw clinical and device data into structured, analysis-ready information.
• Build reusable integration frameworks and APIs to reduce reliance on one‑off technical solutions.
• Develop and implement AI-enabled workflows using technologies such as LLMs, RAG, AI agents and intelligent automation.
• Apply AI to improve software development, validation, data processing and clinical study configuration.
• Integrate data from wearable devices, sensors, mobile applications and other digital health technologies.
• Work with streaming and time‑series data, including ingestion, validation, normalization and quality control.
• Partner with Product and Clinical teams to translate operational and scientific requirements into technical solutions.
• Work closely with Quality and Regulatory stakeholders to ensure technology is developed in line with appropriate GxP, 21 CFR Part 11 and medical software requirements.
• Develop technical documentation, reference architectures and reusable engineering standards.
• Support solutions through design, development, testing, validation and production release.

What We Are Looking For

• 5+ years of software engineering, data engineering or AI engineering experience.
• Strong Python development skills and experience building production‑grade software.
• Experience designing and developing APIs, data pipelines and system integrations.
• Hands‑on experience working with LLMs, RAG, agentic AI or AI‑enabled applications.
• Experience with cloud platforms, ideally AWS.
• Knowledge of containerisation and deployment technologies such as Docker and Kubernetes.
• Strong SQL and relational database experience.
• Experience with event‑driven or streaming architectures such as Kafka, SQS or similar technologies.
• Experience working with CI/CD pipelines and modern software development practices.
• Strong understanding of data modelling, data quality and scalable platform architecture.

Particularly Relevant Experience

We would be especially interested in speaking with candidates who have worked within:

• Clinical trials or eClinical technology
• Digital health or connected medical devices
• Wearables, sensors or digital biomarkers
• Clinical data platforms
• Pharmaceutical or biotechnology technology teams
• Regulated software environments

Experience with standards or frameworks such as GxP, 21 CFR Part 11, ISO 13485 or similar regulated technology environments would be advantageous.