Senior Analyst-AI Forward Deployed 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 of change management, hands-on upskilling, and development. As a Senior Analyst on this team, you will work alongside senior AI Enablement leadership to support client engagements that stand up AI Champions programs, launch workshop series, configure and prototype AI agents and assistants, operationalize governance frameworks, and support user adoption. 

This role is ideal for a technically strong, hands-on practitioner who is as comfortable building AI agents as they are walking a non-technical audience through how and why to use one. 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.  

• Design, configure, prototype, test, and support AI agents, assistants, and workflow automations using platforms such as Microsoft Copilot Agent Builder, Azure AI Foundry, Azure OpenAI, and the Anthropic API, while assisting production architecture and deployment led by senior engineers and client technical teams. 

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

• Foundational 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. 

• Assess, classify, and document AI solutions according to client governance frameworks; support AI intake processes and risk documentation for regulated environments. 

• Package lessons learned, reusable prompts, agent templates, and solution blueprints into scalable assets for future CREO engagements. 

• Support and participate in stakeholder interviews, discovery sessions, and working sessions to identify, assess, and prioritize AI use cases based on business value, feasibility, risk, and adoption readiness. 

• Translate client pain points into practical AI opportunities, including chatbots, workflow automations, knowledge management tools, analytics assistants, onboarding tools, and operational support applications. 

• Work 1:1 with business users to understand their workflows, identify friction points, and prototype or refine AI solutions that fit their day-to-day reality. 

• Draft requirements documents for AI prototypes and solutions, capturing functional specifications, data inputs, governance considerations, and user acceptance criteria. 

• Draft design artifacts and work instructions for AI solutions, including user guides, prompt libraries, configuration notes, and maintenance documentation. 

• Serve as a right hand to client-side AI leaders, program leads, and champion communities — coordinating meetings, capturing decisions, and keeping momentum between sessions. 

• Comfortable managing personal workload across multiple concurrent engagements; able to prioritize tasks, meet deadlines, and proactively communicate status and progress to the team. 

• Partner with senior AI Enablement consultants, AI engineers, and client leaders to deliver AI strategy, enablement, and implementation support across client engagements. 

• Maintain personal billable utilization at the rate of 1700 hours per year

• Present and train non-technical audiences on how to use and update AI solutions — including agents, assistants, and Copilot-based tools in ways that are clear, practical, and confidence-building. 

• Build training recordings and onboarding materials that explain not just how to use a new AI solution, but why it was designed the way it was, and what problems it is meant to solve. 

• Participate confidently in client meetings as a knowledgeable AI practitioner — able to speak clearly and credibly about AI tools, capabilities, and how they apply to client needs. 

• Support the co-design and co-facilitation of CREO’s AI Foundations workshops, champion kick-offs, hands-on labs, and recurring office hours. Facilitation experience is a plus; comfort in front of a room is essential. 

• Support AI adoption change management including internal communications, awareness campaigns, and community-building that turns pilots into organization-wide deployments. 

• Continuously explore and evaluate new AI tools, platforms, and agent frameworks; stay current on emerging capabilities relevant to client work. 

• Use AI in your own daily work: drafting, summarization, research, analysis, and solution development. Demonstrate practical value through what you produce. 

• Share what you learn through internal knowledge shares, client office hours, and champion enablement sessions; help the rest of the CREO team and our clients get sharper, faster. 

• Approach the fast pace of AI change with genuine curiosity, a willingness to pick up new tools, frameworks, and methods quickly, and to learn from engineers, facilitators, and clients alike. 
   

• Communicate clearly and confidently in both written and verbal form across technical and non-technical audiences; participate in engagements with executive leadership under the direction of senior AI Enablement leaders. 

• Translate stakeholder interviews, use-case discovery sessions, and workshop outputs into structured written artifacts the client can act on. 

• Record and summarize technical and executive discussions, ensuring decisions and action items are captured and circulated to the right stakeholders
   

• 1–4 years of relevant experience in a technical consulting, AI engineering, or professional services environment; or equivalent demonstrated hands-on experience building and deploying AI solutions. 

• Hands-on experience building AI agents and assistants using platforms such as Microsoft Copilot Agent Builder, Azure OpenAI, Azure AI Foundry, or equivalent agentic frameworks. 

• Working proficiency in Python for scripting, data processing, and API integration; familiarity with JavaScript or PowerShell a plus. 

• Experience working with APIs, knowledge bases, and structured/unstructured data as inputs to AI solutions. 

• Deep working fluency with the Microsoft 365 suite, including Copilot, Teams, SharePoint, OneDrive, and Copilot Studio.  

• Exceptional verbal and written communication skills; able to explain AI technology clearly to non-technical audiences without sacrificing accuracy. 

• Comfortable participating in stakeholder interviews and discovery sessions; able to translate pain points into structured requirements and practical AI opportunities. 

• Comfortable working 1:1 with business users to understand workflows and prototype AI solutions. 

• Self-directed and organized; able to manage multiple workstreams with competing priorities. 

• Genuine curiosity and a demonstrated ability to learn quickly in a fast-evolving AI landscape. 

• Strong proficiency in PowerPoint and Word; strong working knowledge of Excel and Outlook. 

• Bachelor’s degree in a relevant field or equivalent work experience. 

• Commitment to CREO’s core values and making a better, healthier world. 

• Travel may be required (local and overnight when appropriate). 

Preferred Qualifications

• Experience building multi-agent architectures, implementing RAG pipelines, or working with vector databases and embedding models. 

• Hands-on experience building SharePoint sites, Power Apps, or Power Automate flows. 

• Experience designing, coordinating, or facilitating training workshops or enablement programs; comfort presenting in front of a room is a plus. 

• Exposure to life sciences, biotech, healthcare, or other regulated industries. 

• Familiarity with AI governance concepts: responsible AI, risk frameworks, and enterprise AI policies. 

• Project or program coordination experience. 

• Relevant AI certifications such as Generative AI for Everyone (DeepLearning.AI), Microsoft AI Fundamentals, or equivalent. 

• Preference given to candidates in the Raleigh-Durham, NC area or a life science hub (San Diego, Boston, San Francisco Bay, Orange County, Seattle)