Embedded AI Solutions Engineer (Contract)

Correlation One develops workforce skills for the AI economy, partnering with enterprises and governments to close critical skills gaps. They are hiring Embedded AI Solutions Engineers to support a large-scale enterprise AI transformation initiative, focusing on designing, building, and deploying AI-powered workflow solutions across HR and business processes.

Responsibilities:

• 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
• 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
• 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
• 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
• Develop reusable templates, patterns, and playbooks for AI solution development
• Contribute to internal knowledge sharing and standardization across projects

Requirements:

• Hands-on experience building LLM-based applications, agents, or copilots
• Familiarity with tools such as Microsoft Copilot Studio, Azure AI, or similar platforms
• Experience with orchestration frameworks (e.g., LangChain, Semantic Kernel)
• Experience integrating with APIs and working with structured/unstructured data
• Strong prompt engineering and workflow design capabilities
• Ability to translate ambiguous business problems into practical technical solutions
• Experience rapidly prototyping and iterating on AI-driven solutions
• Strong judgment on tradeoffs between speed, complexity, and usability
• Comfortable working directly with business stakeholders (including senior leaders)
• Ability to explain technical concepts in clear, business-relevant terms
• Highly autonomous and self-directed
• Comfortable operating in ambiguous, fast-evolving environments
• Pragmatic and outcome-oriented (focus on usable solutions, not over-engineering)
• Strong ownership mindset and accountability for delivery
• Experience in consulting, client-facing roles, or cross-functional teams preferred
• Experience working in enterprise environments with security, compliance, and data constraints
• Familiarity with HR systems (e.g., Workday) or similar enterprise platforms
• Experience deploying AI solutions into production environments
• Background in workflow/process redesign or operations transformation