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.
  

If you are having difficulty in applying or if you have any questions, please contact Dean Fisher at (url removed).

If you are interested in applying to this exciting opportunity, then please click ''Apply'' or to speak to one of our specialists please request a call back at the top of this page.

Proclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. Proclinical is acting as an Employment Agency in relation to this vacancy.

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