AI Solution Architect designing Azure - based agentic and machine learning solutions for a Canadian financial institution. Translating business requirements into secure, scalable cloud architectures.
About the role
- Embedded AI Solutions Engineer for AI transformation at Fortune 500 Company. Collaborating to design and deploy AI-powered workflow solutions across HR and business processes.
Responsibilities
- 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.
Requirements
- 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)
- 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.
- Experience in consulting, client-facing roles, or cross-functional teams preferred.
- 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 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.
Benefits
- The compensation range for this position is specific to location and takes into account the wide range of factors that are considered in making compensation decisions. These factors include (but are not limited to) location, experience, education and skill sets.
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