Senior Agentic AI Engineer

About the role

As Senior Agentic AI Engineer, you will own the design, implementation, and operationalization of complex agentic AI systems that drive automation, scalability, and data quality across medical imaging clinical trials. This role leads the delivery of multi‑step, production‑grade agentic workflows supporting imaging intake, quality control, protocol compliance, data validation, and structured decision support. The Senior Agentic AI Engineer also plays a key role in advancing the company's AI‑driven Product Development Life Cycle (PDLC)-from discovery and design automation to delivery, deployment, and production operations. In addition to hands‑on technical contributions, this role provides technical leadership, mentoring engineers, shaping best practices for agent reliability and evaluation, and ensuring AI systems meet quality, safety, and regulatory expectations.

Responsibilities

• Cross functional collaborations
• Lead discovery and design discussions with Product, Imaging Operations, Clinical Ops, QA, Security, and Regulatory teams.
• Translate complex clinical and PDLC workflows into robust, agent‑compatible system designs with clearly defined boundaries, validation rules, and human oversight.
• Drive alignment between business objectives, product strategy, and technical implementation.
• Act as a technical point of contact for stakeholders on agentic AI capabilities and limitations.
• Technical leadership & Mentorship
• Lead technical design reviews for agentic AI features and platform components.
• Mentor and coach mid‑level engineers on agent design, evaluation strategies, failure analysis, and production readiness.
• Define team‑level best practices for prompt engineering, retrieval grounding, evaluation metrics, and observability.
• Contribute to internal documentation, reference implementations, and shared libraries.
• Algorithm and Software Development
• Design and build end‑to‑end agentic workflows involving planning, tool use, retrieval, and structured outputs.
• Implement advanced RAG patterns grounded in controlled knowledge sources (protocols, SOPs, specifications, audit artifacts).
• Develop evaluation frameworks to measure task success, grounding quality, hallucination risk, and regression across agent versions.
• Build scalable backend services, APIs, and orchestration layers supporting agent execution in production.
• Deployment and integration (MLOps)
• Own production deployments of agentic systems, including CI/CD pipelines, environment promotion, and rollback strategies.
• Define observability standards: tracing agent reasoning, tool calls, retrieval events, errors, and cost telemetry.
• Ensure systems meet security, privacy, and compliance requirements (access controls, audit logs, data protection).
• Partner with platform and DevOps teams to improve reliability and scalability of AI services.
• Innovation & Research application
• Evaluate emerging agentic AI techniques and assess their applicability to regulated clinical workflows.
• Lead proof‑of‑concepts and transition validated approaches into hardened, production‑ready solutions.
• Establish guidelines for selecting models, architectures, and evaluation methods.
• Contribute to longer‑term AI roadmap planning and technical strategy.
• Other
• Carry out any other reasonable duties as requested
• Functional Competencies (Technical knowledge/Skills)
• Advanced software engineering skills with a strong track record of delivering production-grade systems in complex environments.
• Hands-on expertise designing and implementing agentic AI systems, including:
• multi-step task decomposition and orchestration
• tool and API integration
• structured outputs and validation mechanisms
• Strong mastery of LLM-based system design, including prompt/version management, grounding strategies, and error handling.
• Proven ability to design and implement evaluation frameworks for agentic systems (task success, grounding, hallucination detection, regression testing).
• Strong exposure to MLOps / DevOps practices, including CI/CD, monitoring, observability, cost management, and safe deployment strategies.
• Familiarity with clinical trials or life sciences environments, including structured processes and data quality expectations, preferred.
• Awareness of data privacy and security principles applied to sensitive or regulated data (e.g., healthcare, personal data), preferred.
• Previous contribu

Benefits

Additional Information

We're on a mission to change the future of clinical research. At Perceptive, we help the biopharmaceutical industry bring medical treatments to the market, faster. Our mission is to change the world but to do this, we need people like you. What can we offer you? Apart from job satisfaction, we can offer you: YOURSELF - 25 days' holiday (with the option to buy more) HEALTH - Health Cash Plan - Optional private health, dental insurance, and health screens - Cycle to work scheme WEALTH - Generous pension scheme with up to 10% employer contribution - Life assurance - Season ticket loan

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