Senior Analyst- AI Engineer

JOB DESCRIPTION OVERVIEW

CREO ’s AI Enablement team helps life sciences, healthcare, and technology organizations unlock the value of AI through strategy, governance, adoption change management, hands-on upskilling, and development. As a Senior Analyst, you will play a pivotal role leading and delivering AI enablement engagements, working directly with client stakeholders to design, build, and scale AI solutions. You will take ownership of workstreams, lead technical delivery, and help drive AI strategy and adoption across client organizations.

This role is ideal for a technically strong, hands-on practitioner who is as comfortable building AI agents as they are guiding executive and non-technical stakeholders on how and why to use them. The right candidate is deeply curious, adapts quickly in a fast-moving AI landscape, and brings the communication skills to translate technical possibilities into practical business outcomes — from the executive conference room to a one-on-one coaching session with an end user.

Experience working in health and life sciences is a plus.

POSITION RESPONSIBILITIES

Build and Deploy AI Solutions
This is the technical core of the role. You will design, build, test, and deploy AI-powered solutions aligned to client business requirements.
- Lead the design, build, test, and deployment of AI agents, assistants, and workflow automations aligned to client business objectives using platforms such as Microsoft Copilot Agent Builder, Azure AI Foundry, Azure OpenAI, and the Anthropic API.

- Own the end-to-end lifecycle of AI solutions, from requirements and architecture through deployment and optimization

- Comfortable working in regulated or compliance-sensitive environments with appropriate documentation and oversight.

- Navigate technical solutioning discussions with client and internal stakeholders; translate requirements into scalable AI architectures.

- Assess, classify, and document AI solutions within client governance frameworks; guide AI intake, risk documentation, and compliance-sensitive oversight processes.

- Ensure solutions are built for reuse and scalability by packaging lessons learned, reusable prompts, agent templates, and solution blueprints into CREO assets.

- Working knowledge of agentic AI concepts including RAG, tool use, and knowledge base configuration; exposure to multi-agent architectures a plus.

- Convert requirements from AI program leads, champions, cloud teams, and solution architects into functional AI solutions; generate supporting AI solution proposal documentation.

AI Process Engineering
Analyzing current workflows, documenting business operations, and collaboratively reengineering processes to incorporate advanced technologies such as AI, process automation, and analytics, you will partner with stakeholders across business and technology functions to ensure that redesigned workflows are efficient, scalable, and aligned with organizational goals.
- Analyze, document, and map current-state (as-is) business processes, identifying pain points, inefficiencies, and opportunities for automation and optimization.

- Design future-state (to-be) processes that integrate AI capabilities, workflow automation, and decision support.

- Conduct stakeholder interviews and workshops to gather requirements and build consensus across cross-functional teams.

- Collaborate with solution architects, developers, and subject matter experts to translate process requirements into actionable technical designs.

- Develop detailed documentation including process maps, gap analyses, functional requirements, and operating procedures to guide solution implementation.

- Ensure process designs align with regulatory and compliance requirements specific to the life sciences and healthcare industries.

- Support change management efforts, including user training and adoption activities, to ensure successful implementation of redesigned processes.

- Monitor and evaluate implement