出海雷达

高级分析师-AI前向部署工程师

Senior Analyst-AI Forward Deployed Engineer

AI开发工程限定地区(需当地身份)
公司CREO
薪资未公开
工作地点United States
地域资格限定地区(需当地身份)
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间14 天前
数据来源Himalayas
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注意地域限制:该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

职位描述概览
CREO的AI赋能团队帮助生命科学、医疗保健和技术组织通过战略、治理、变革管理的采用、实际操作的技能提升以及开发来释放AI的价值。作为该团队的高级分析师,您将与高级AI赋能领导合作,支持建立AI冠军计划、启动研讨会系列、配置和原型AI代理和助手、实现治理框架的运作,并支持用户采用。
此职位适合一位技术能力强、注重实践的专业人士,他们既擅长构建AI代理,也能向非技术人员解释如何以及为何使用AI代理。合适的候选人具有强烈的好奇心,在快速发展的AI领域中适应能力强,并具备将技术可能性转化为实际业务成果的沟通能力——从高管会议室到与终端用户的1对1辅导会议。
在医疗和生命科学领域有经验者优先。
职位职责
构建和部署AI解决方案
这是该职位的技术核心。您将设计、构建、测试并部署符合客户业务需求的AI驱动解决方案。
· 使用Microsoft Copilot Agent Builder、Azure AI Foundry、Azure OpenAI和Anthropic API等平台设计、配置、原型设计、测试和支持AI代理、助手和工作流自动化,同时协助由高级工程师和客户技术团队主导的生产架构和部署。

  • 在需要合规或受监管的环境中工作,具备适当的文档和监督能力。
  • 具备代理AI概念的基础知识,包括RAG、工具使用和知识库配置;有多代理架构经验者优先。
  • 将AI项目负责人、冠军、云团队和解决方案架构师的需求转化为功能性的AI解决方案;生成支持性的AI解决方案提案文档。
  • 根据客户的治理框架评估、分类和记录AI解决方案;支持受监管环境中的AI接收流程和风险文档。
  • 将经验教训、可重用提示、代理模板和解决方案蓝图打包成可扩展的资产,用于未来的CREO项目。

支持AI赋能项目
您将在客户AI项目的整个生命周期中做出贡献,从发现阶段到部署和采用阶段。 ·

查看英文原文

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 AI Enablement Engagements
You will contribute across the full lifecycle of client AI programs, from discovery through deployment and adoption. · 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

Facilitate AI Upskilling and Training
You will play an active role in helping non-technical users understand, adopt and get value from new AI solutions.· 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.

Drive AI Tool Fluency and Teach Back
AI is moving fast. You will be expected to stay current and bring what you learn back to clients and colleagues.· 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 with Clarity and Confidence
Strong communication is non-negotiable in this role. You will regularly translate technical work for non-technical audiences.· 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

SKILLS & QUALIFICATIONS
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.

Required Qualifications · 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)

Originally posted on Himalayas

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