Agency:
Omnicom Health Medical Communications

Job Function:
Data and Analytics

Job Subfunction:
Data Science and AI

Job Description:

Senior AI Engineer, Agentic Solutions & Workflows

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.

This role focuses on building individual agents while working with the AI solutions architect and other business unit specialists

Primary Responsibilities

AI Platform Architecture

• 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

Required Experience

Required

• Demonstrated hands-on experience building solutions using generative AI and large language models.
• Experience designing and developing AI agents, agentic workflows, or LLM-powered applications.
• Strong understanding of prompt engineering and LLM behavior.
• Experience with APIs and systems integration.
• Ability to translate business requirements into practical technical solutions.
• Experience taking solutions from prototype through testing and production deployment.
• Strong problem-solving skills and ability to troubleshoot both technical issues and AI output-quality challenges.

Preferred Experience

• 4-7+ years of experience in software engineering, AI engineering, automation, data engineering, or related technical roles.
• Experience working with Python and/or other relevant programming languages.
• Familiarity with Retrieval-Augmented Generation (RAG), vector search, embeddings, and enterprise knowledge architectures.
• Experience with Microsoft Azure AI, Copilot Studio, Power Platform, or similar enterprise ecosystems.
• Experience with OpenAI, Anthropic, Google, or other foundation model APIs.
• Familiarity with multi-agent architectures and workflow orchestration frameworks.
• Experience working with SharePoint, Microsoft Teams, and enterprise knowledge repositories.
• Healthcare, pharmaceutical, life sciences, or other regulated-industry experience.
• Understanding of Commercial, Medical Affairs, Publications, or medical communications workflows is highly desirable.

$145,000-$185,000

Omnicom's policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom's corporate group already require five days of in-office attendance.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we're focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us-we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.

Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice