{"id":4001427,"url":"https://alion.io/job/proclinical-senior-ai-solutions-engineer","title":"Senior AI Solutions Engineer","company":{"id":2116512,"name":"Proclinical","domain":"proclinical.com","url":"https://alion.io/company/proclinical","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":null},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"contractor","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Welwyn, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Anthropic","optional":false},{"name":"Asyncio","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude","optional":false},{"name":"CrewAI","optional":false},{"name":"Docker","optional":false},{"name":"FastAPI","optional":false},{"name":"Git","optional":false},{"name":"GitHub","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Pydantic","optional":false},{"name":"Pytest","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Shiny","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"LangChain","optional":true},{"name":"R","optional":true}],"status":"live","first_seen_at":"2026-11-09T16:54:07Z","employer_posted_date":"2026-11-09","last_verified_at":"2026-11-10T03:42:10Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Passionate about creating AI agents and assistants that drive smarter decision-making across organisations?\nProclinical 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.\nResponsibilities:\nDesign and implement AI solution architectures, including agents, assistants, interfaces, and automations.\nDevelop AI agents and assistants using large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent workflows.\nBuild natural-language interfaces and dashboards for portfolio, resourcing, and performance data analysis.\nEstablish and maintain a shared library of reusable AI components for cross-team use.\nCollaborate with Quality & Compliance teams to ensure regulated AI use cases meet validation and audit requirements.\nDefine test sets, monitor production quality, and maintain documentation and operational runbooks.\nSet coding standards, review practices, and mentor engineers while supporting business teams in adopting AI solutions.\nTranslate business needs into technical scopes and partner with IT, architecture, and security teams to ensure platform access and data privacy.\nKey Skills and Requirements:\nProficiency in production-quality Python (e.g., FastAPI, Pydantic, asyncio, pandas, pytest).\nExperience with R and R Shiny for building and deploying applications.\nHands-on expertise with LLM APIs (e.g., OpenAI, Anthropic Claude) and agent frameworks (e.g., LangGraph, CrewAI).\nAdvanced SQL skills and familiarity with Snowflake and REST API integrations.\nKnowledge of engineering practices such as Git, CI/CD, Docker, AWS, and observability tools.\nUnderstanding of GxP compliance, computer system validation, and data privacy in regulated industries.\nStrong communication skills to translate technical concepts for non-technical stakeholders.\nAbility to prioritize tasks, manage risks, and lead technical project execution.\nAdvanced degree (Master's or PhD) in Computer Science, AI, or related fields.\nExperience with in-platform AI services in cloud data warehouses.\nFamiliarity with end-to-end security for AI workflows, including permissions and prompt injection protection.\nBackground in classical machine learning techniques (e.g., scikit-learn for trend analysis and forecasting).\nExperience in pharmaceutical R&D or other highly regulated industries.\nA portfolio or GitHub profile showcasing relevant work is a plus. \nIf you are having difficulty in applying or if you have any questions, please contact Dean Fisher at .\nIf 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.\nProclinical is a leading life sciences recruiter focused on finding exceptional people and matching them with the finest positions across the globe. 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