Senior AI Solutions Engineer

R Dpartners; Welwyn Garden City; On-site; GBP 90,000 - 130,000; Full time

Job summary

R&D Partners seeks a Senior AI Solutions Engineer to join a leading pharmaceutical company in the UK. You will design and deploy AI solutions, including agents and dashboards, while ensuring regulatory compliance in GxP environments.

You will mentor engineers, define standards, and partner with IT & Data Governance to translate business needs into technical scope. Required 4+ years in software/data/ML, 2+ years with production-grade LLM-based apps.

Qualifications

• Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or related field.
• Minimum 4 years in software, data, or machine-learning engineering, including 2 years of hands-on experience building production-grade LLM-based applications or agents.

Responsibilities

• AI Solution Architecture: Design technical frameworks for AI solutions, emphasizing reuse and scalability.
• Agentic AI and LLM Engineering: Develop AI agents and assistants using enterprise large language models, retrieval-augmented generation (RAG), and multi-agent workflows.
• AI Interfaces: Build natural-language interfaces and dashboards over business data for actionable insights.
• Shared Foundation: Create and govern reusable AI components for cross-team use.
• GxP Compliance: Collaborate with Quality & Compliance teams to ensure regulated AI use cases meet validation requirements.
• Evaluation & Operations: Define test sets, monitor solution performance, and maintain documentation and runbooks.
• Technical Leadership: Establish coding standards, mentor engineers, and support business teams in adopting AI solutions.
• Stakeholder Partnership: Translate business needs into technical scope and collaborate with IT, Architecture, and Data Governance teams.

Skills

Python

R

R Shiny

LLM APIs

Agent frameworks

SQL

Git

CI/CD

Docker

AWS

Regulated environments

Education

Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or related field

Tools

FastAPI

Pydantic

asyncio

pandas

pytest

Snowflake

REST APIs

OpenAI API

Anthropic Claude API

LangGraph

CrewAI

Job description

Are you ready to design and deploy enterprise AI solutions that transform how a global pharmaceutical organization operates, innovates, and delivers results?

R&D Partners is seeking a Senior AI Solutions Engineer to join a leading pharmaceutical company in their Business Strategy & Operations (BSO) function. This role focuses on implementing an ambitious AI strategy to transform operational workflows into AI-enabled processes. The position involves designing and building AI solutions, including agents, assistants, and dashboards, while ensuring compliance with regulatory standards.

Please note that to be considered for this role you must have the right to work in this location.

Responsibilities:

• AI Solution Architecture: Design technical frameworks for AI solutions, emphasizing reuse and scalability.
• Agentic AI and LLM Engineering: Develop AI agents and assistants using enterprise large language models, retrieval-augmented generation (RAG), and multi-agent workflows.
• AI Interfaces: Build natural-language interfaces and dashboards over business data for actionable insights.
• Shared Foundation: Create and govern reusable AI components for cross-team use.
• GxP Compliance: Collaborate with Quality & Compliance teams to ensure regulated AI use cases meet validation requirements.
• Evaluation & Operations: Define test sets, monitor solution performance, and maintain documentation and runbooks.
• Technical Leadership: Establish coding standards, mentor engineers, and support business teams in adopting AI solutions.
• Stakeholder Partnership: Translate business needs into technical scope and collaborate with IT, Architecture, and Data Governance teams.

Key Skills and Requirements:

Must-Haves:

• Education: Bachelor’s or advanced degree in Computer Science, Engineering, Data Science, or related field.
• Experience: Minimum 4 years in software, data, or machine-learning engineering, including 2 years of hands-on experience building production-grade LLM-based applications or agents.

Technical Expertise:

• Proficiency in Python (e.g., FastAPI, Pydantic, asyncio, pandas, pytest).
• Solid experience with R and R Shiny for application development.
• Hands-on knowledge of LLM APIs (e.g., OpenAI, Anthropic Claude) and agent frameworks (e.g., LangGraph, CrewAI).
• Advanced SQL and integration with enterprise systems (e.g., Snowflake, REST APIs).
• Familiarity with Git, CI/CD, Docker, AWS, and observability tools.
• Regulated Environments: Understanding of GxP, computer system validation, and data privacy in regulated industries.
• Communication: Ability to explain technical concepts to non-technical stakeholders and translate business needs into technical solutions.

Preferred Qualifications:

• Master’s or PhD in Computer Science, AI, or related quantitative field.
• Experience with in-platform AI services in cloud data warehouses.
• Knowledge of end-to-end security for agentic workflows.
• Familiarity with validated quality management systems or other regulated enterprise systems.
• Experience with classical machine learning techniques (e.g., scikit-learn).
• Background in pharmaceutical R&D or other highly regulated industries.
• A GitHub profile or portfolio showcasing relevant work is a plus.