Senior AI Engineer

Role Summary

The Senior AI Engineer, Agentic Solutions & Workflows is a hands-on technical role responsible for designing, building, testing, deploying, and optimizing AI-powered agents, workflows, and automation solutions that transform how teams work.

Working closely with AI leadership, solution architects, Experience Strategy, Digital Delivery, scientific and client-facing teams, this individual translates real-world business needs into scalable AI-enabled solutions. The role will focus on applying generative and agentic AI to workflows across Medical Affairs, Publications, Scientific Communications, Commercial Medical Communications, and other areas of the organization.

This role combines strong technical AI capabilities with practical problem solving and requires someone who can move from use-case discovery and solution design through prototyping, testing, deployment, and ongoing optimization.

Primary Responsibilities

• Translate complex business processes into AI-enabled workflows, identifying where AI, automation, and human intervention should be applied.
• Develop reusable agents, workflow components, prompts, and AI accelerators that can scale across teams and accounts.
• Build solutions using enterprise AI platforms, large language models, APIs, retrieval-augmented generation (RAG), and related AI technologies.
• Collaborate with AI Architects to ensure solutions align with enterprise architecture, security, governance, data privacy, and platform standards.
• Partner with Commercial, Medical Affairs, Publications, Scientific Services, Strategy, Digital, and client teams to identify and scope high-value AI use cases.
• Facilitate workflow discovery sessions to understand current processes, pain points, inputs, outputs, decision points, and opportunities for AI enablement.
• Prototype and test new AI solutions rapidly, incorporating feedback from subject matter experts and end users.
• Establish systematic testing and evaluation approaches for AI outputs, including accuracy, consistency, reliability, and adherence to defined requirements.
• Optimize prompts, agent instructions, knowledge sources, retrieval strategies, and workflow logic to improve solution performance.
• Troubleshoot technical and output-quality issues and continuously refine deployed agents based on user feedback and performance.
• Support the integration of AI solutions with knowledge bases, document repositories, APIs, and enterprise platforms where appropriate.
• Develop documentation, user guidance, and training materials to support successful deployment and adoption.
• Partner with Digital PMs and delivery teams to move solutions from prototype through testing, controlled release, deployment, and ongoing maintenance.
• Monitor developments in generative AI, agentic AI, LLMs, and automation technologies and identify opportunities to apply emerging capabilities to client and agency workflows.

Key Areas of Focus

The role will initially focus on developing AI-enabled solutions for workflows including:

• Commercial, Publications and Medical Affairs workflows
• Scientific and medical literature research
• Content research and synthesis
• Scientific content drafting and transformation
• Congress content development
• Data and content extraction
• Document and slide development
• Summarization
• Quality control and consistency checking
• Content review and compliance support
• Knowledge retrieval
• Workflow and process automation