Embedded AI Solutions Engineer (Contract)

About Correlation One

Correlation One is the largest provider of AI and data workforce development programs globally, having trained over 500,000 professionals across 11 countries. As the largest training provider for Amazon Career Choice, and a growing partner to state governments building registered apprenticeship programs, Correlation One sits at the intersection of employer talent needs and scalable workforce training.

We work with Fortune 500 enterprises, federal and state government agencies, and leading employers to close skills gaps in AI, data analytics, cybersecurity, and operations leadership. Our programs produce job-ready graduates who are prepared to contribute from day one.

 

Your impact 

Correlation One is hiring Embedded AI Solutions Engineers to support a large-scale enterprise AI transformation initiative at a Fortune 500 Company. Consultants will be embedded within the client’s team to design, build, and deploy AI-powered workflow solutions (agents and copilots) across HR and business processes.

This is a hands-on, execution-focused role. Consultants will translate business needs into working AI solutions, rapidly prototype and iterate, and support internal teams in adopting and scaling these capabilities.

**This is a 6 month contract position, working 40 hours per week.**

A day in the life 

•  AI Solution Design & Development

  • Translate business workflows into AI-powered solutions (agents, copilots, automation tools)
  • Design and build solutions using platforms such as Copilot Studio and related ecosystems
  • Develop prototypes and iterate quickly based on stakeholder feedback
  • Define solution architecture, including prompts, workflows, and system interactions
  • Operate within Correlation One’s delivery system and standards to ensure consistency across builds

•  Workflow Integration

  • Integrate AI solutions into existing enterprise tools and processes (e.g., HR systems, internal platforms)
  • Ensure solutions are usable, practical, and aligned with business workflows
  • Support deployment and transition from prototype to production-ready solutions

• Use Case Prioritization & Scoping

  • Partner with client stakeholders to evaluate and prioritize AI use cases
  • Assess feasibility, data requirements, and expected impact
  • Contribute to a structured pipeline of AI initiatives

• Coaching & Enablement

  • Support internal client teams in building and refining their own AI solutions
  • Provide guidance on best practices for prompting, design, and implementation
  • Conduct working sessions, code reviews, and office hours as needed

• Pattern Development & Reusability

  • Develop reusable templates, patterns, and playbooks for AI solution development
  • Contribute to internal knowledge sharing and standardization across projects
• What Success Looks Like
  • Delivery of multiple production-ready AI solutions across prioritized workflows
  • Demonstrated impact on efficiency and workflow improvement
  • Strong client satisfaction and trust as an embedded partner
  • Enable internal teams in developing their AI workflow solutions
  • Creation of reusable frameworks that accelerate future AI deployments
  •  

Required Qualifications

• Technical Skills
  • Hands-on experience building LLM-based applications, agents, or copilots
  • Familiarity with tools such as:
    • Microsoft Copilot Studio, Azure AI, or similar platforms
    • Orchestration frameworks (e.g., LangChain, Semantic Kernel)
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