Senior Analyst- AI Engineer
Full-time
CREO
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.
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.
You will contribute across the full lifecycle of client AI programs, from discovery through deployment and adoption.
You will help clients and internal teams understand, adopt, and get practical value from AI solutions while staying current in a fast-evolving AI landscape.
We hire for curiosity, technical depth, and the ability to bring others along. If you meet most of these qualifications and are excited about the work, we encourage you to apply.
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.
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 implemented solutions for effectiveness and recommend improvements based on performance metrics and stakeholder feedback.
You will contribute across the full lifecycle of client AI programs, from discovery through deployment and adoption.
- Assist client scoped AI enablement workstreams or engagements, ensuring delivery quality, timelines, client satisfaction, and alignment with business outcomes and ensuring technical requirements, design and legitimacy.
- Translate client pain points and workflow friction into strategic, practical AI opportunities such as 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.
- 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 of 1700 hours per year.
You will help clients and internal teams understand, adopt, and get practical value from AI solutions while staying current in a fast-evolving AI landscape.
- Present and train non-technical audiences on how to use AI solutions, including agents, assistants, and Copilot-based tools, in a clear, practical, and confidence-building way.
- Build training materials, onboarding resources, user guides, prompt libraries, and supporting documentation that explain how AI solutions work and the business problems they are designed to solve.
- Support AI adoption and change management efforts, including workshops, office hours, internal communications, awareness campaigns, and champion enablement sessions.
- Communicate clearly with technical and non-technical stakeholders, translating requirements, workshop outputs, and technical concepts into structured, actionable client-facing materials.
- Stay current on emerging AI tools, platforms, and agent frameworks, and apply that learning to improve client solutions, internal delivery assets, and team knowledge sharing.
- 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.
We hire for curiosity, technical depth, and the ability to bring others along. If you meet most of these qualifications and are excited about the work, we encourage you to apply.
- 2–4+ years of relevant experience in technical consulting, AI engineering, professional services, business process improvement, business analysis, or systems implementation, preferably within healthcare, life sciences, or another regulated industry.
- Hands-on experience building AI agents, assistants, workflow automations, or AI-enabled solutions using platforms such as Azure OpenAI, Azure AI Foundry, Microsoft Copilot Studio, Google Vertex AI, Google Agent Builder, Anthropic, OpenAI, AWS Bedrock, or comparable frameworks.
- Proficiency in Python for scripting, data processing, and API integration; familiarity with JavaScript or PowerShell is a plus.
- Experience working with APIs, knowledge bases, and structured or 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.
- 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)
Vacancy posted a month ago
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