Passionate about creating AI agents and assistants that drive smarter decision-making across organisations?
Proclinical is seeking a Senior AI Solutions Engineer to lead the design and development of AI-driven solutions that enhance operational workflows and decision-making processes. This role focuses on creating production-grade AI agents, assistants, and dashboards that empower teams to transition from manual processes to AI-enabled systems. You will collaborate with cross-functional teams, including IT, architecture, data governance, and compliance, to ensure secure, traceable, and compliant solutions.
Responsibilities:
- Design and implement AI solution architectures, including agents, assistants, interfaces, and automations.
- Develop AI agents and assistants using large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent workflows.
- Build natural-language interfaces and dashboards for portfolio, resourcing, and performance data analysis.
- Establish and maintain a shared library of reusable AI components for cross-team use.
- Collaborate with Quality & Compliance teams to ensure regulated AI use cases meet validation and audit requirements.
- Define test sets, monitor production quality, and maintain documentation and operational runbooks.
- Set coding standards, review practices, and mentor engineers while supporting business teams in adopting AI solutions.
- Translate business needs into technical scopes and partner with IT, architecture, and security teams to ensure platform access and data privacy.
Key Skills and Requirements:
- Proficiency in production-quality Python (e.g., FastAPI, Pydantic, asyncio, pandas, pytest).
- Experience with R and R Shiny for building and deploying applications.
- Hands-on expertise with LLM APIs (e.g., OpenAI, Anthropic Claude) and agent frameworks (e.g., LangGraph, CrewAI).
- Advanced SQL skills and familiarity with Snowflake and REST API integrations.
- Knowledge of engineering practices such as Git, CI/CD, Docker, AWS, and observability tools.
- Understanding of GxP compliance, computer system validation, and data privacy in regulated industries.
- Strong communication skills to translate technical concepts for non-technical stakeholders.
- Ability to prioritize tasks, manage risks, and lead technical project execution.
- Advanced degree (Master's or PhD) in Computer Science, AI, or related fields.
- Experience with in-platform AI services in cloud data warehouses.
- Familiarity with end-to-end security for AI workflows, including permissions and prompt injection protection.
- Background in classical machine learning techniques (e.g., scikit-learn for trend analysis and forecasting).
- Experience in pharmaceutical R&D or other highly regulated industries.
- A portfolio or GitHub profile showcasing relevant work is a plus.
Senior AI Solutions Engineer in England employer: ProClinical
Join a globally recognised biopharmaceutical organisation that prioritises innovation and collaboration in the field of protein science and biologic drug development. With a strong commitment to employee growth, you will have access to continuous learning opportunities and be part of a supportive team dedicated to delivering life-changing therapies. Located in a vibrant area, this role not only offers meaningful work but also a dynamic work culture that values your contributions and fosters professional development.
