Applied AI Engineer

AI Engineer

The client is seeking an AI Engineer to design, build, and deploy LLM-based solutions, autonomous agents, and AI orchestration workflows that enhance how the organization consumes data and reporting insights.

Job Summary

• Integrate AI-generated insights, narratives, and analysis into existing Power BI reports and dashboards.
• Build domain-specific AI agents that support internal teams, including automating first-pass analysis of service tickets.
• Implement agent memory, context management, RAG retrieval strategies, and orchestration patterns to support scalable AI architecture.
• Design and deploy reusable AI components, skills, and agent frameworks that can be leveraged across multiple teams.
• Contribute to the design and deployment of Model Context Protocol (MCP) servers and integrations to expose enterprise data to AI systems.
• Maintain and evolve the existing Power BI report portfolio, including semantic models, DAX measures, and Power Query transformations.
• Ensure AI integrations comply with enterprise data governance, privacy, security, and access control standards.

Minimum Requirements

• 2+ years of hands-on production AI engineering experience, including building LLM applications and AI agents.
• Proven experience with RAG architectures, agent frameworks, prompt orchestration, and token optimization.
• Strong Python and SQL skills with demonstrated ability to design scalable, reusable AI architecture.
• Proven Power BI development experience, including semantic modeling, DAX, and Power Query.
• Ability to work autonomously, manage a mixed AI/BI backlog, and communicate clearly with non-technical stakeholders.

Preferred Qualifications

• Experience with ServiceNow or other enterprise platforms such as Salesforce or Dynamics 365, and system integration patterns.
• Experience implementing AI governance, guardrails, and responsible-AI practices including monitoring and evaluation.
• Experience reducing LLM costs and token usage at scale.
• Familiarity with the Microsoft data platform, including Fabric, Synapse, and Purview.
• Experience embedding AI-generated narratives or insights directly into BI reporting tools.
• Experience building AI frameworks adopted across multiple business teams.