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About the Role
Omnicom Health Medical Communications gives science a story to tell, partnering with clients from molecule to market. This role focuses on applying generative and agentic AI to transform workflows across Medical Affairs, Publications, Scientific Communications, and Commercial Medical Communications.
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.
Requirements
- 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.
Skills
- Generative AI
- Large language models
- AI agents
- Agentic workflows
- LLM-powered applications
- Prompt engineering
- APIs
- Systems integration
- Python
- Retrieval-Augmented Generation (RAG)
- Vector search
- Embeddings
- Enterprise knowledge architectures
- Microsoft Azure AI
- Copilot Studio
- Power Platform
- OpenAI
- Anthropic
- Google foundation model APIs
- Multi-agent architectures
- Workflow orchestration frameworks
- SharePoint
- Microsoft Teams
- Enterprise knowledge repositories
Location
- Remote
Work Type
- Remote
- Hybrid
Experience Level
- Senior
- 4–7+ years of experience in software engineering, AI engineering, automation, data engineering, or related technical roles.
Salary/Compensations
- $145,000-$185,000
About the Company
- Omnicom Health Medical Communications is a global leader in publications, medical affairs, regulatory consultation, and AOR medical communications.
- We support 150+ transformational medicines across pharma, biotech, and healthcare.
- Omnicom is committed to hiring and developing exceptional talent and building inclusive teams.
Equal Opportunity
- It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.