Sr. AI Engineer Consultant; Hybrid-In Office

Sr. AI Engineer Consultant (Hybrid-In Office)

Job Level: W2T Consultant

Job Location: Hybrid, Charlotte, NC

Travel Expectations: 10%

Job Classification: Temporary (W2T)

• Copilot Optimization:
  Analyze and refactor Copilot Studio agents to eliminate redundancies, improve routing efficiency, and streamline topic structures for better maintainability.
• Generative AI Modernization:
  Transition static, rule-based topics into grounded generative experiences and replace legacy ingestion methods with modern Azure AI approaches.
• Advanced RAG Implementation:
  Enhance solution accuracy by integrating Azure AI Foundry capabilities, including Cognitive Search with vector embeddings and custom RAG endpoints.
• Sophisticated AI Features:
  Implement high-level capabilities like multi-step reasoning, context persistence, summarization, and function calling for complex user interactions.
• End-to-End MLOps:
  Design and manage scalable AI/ML pipelines, covering everything from model fine-tuning and versioning to CI/CD, monitoring, and security.
• Architectural Leadership:
  Serve as the technical lead to design scalable architectures, guiding best practices and ensuring internal teams can maintain the solution post-handoff.
• Operational Enablement:
  Develop infrastructure-as-code for resilient workloads and produce comprehensive documentation, including troubleshooting guides and operational playbooks.

• Experience:
  
  8+ years in software architecture or cloud engineering, with at least 3+ years specifically focused on production-grade AI/ML solutions.
• AI Ecosystem:
  Strong hands‑on experience with Microsoft Copilot Studio and Azure AI Foundry.
• Technical Proficiency:
  Expert‑level Python for AI/ML development and automation; additional experience in C#, .NET, or Java is preferred.
• AI Specialization:
  Solid understanding of Generative AI, prompt engineering, RAG architectures, embeddings, and vector databases.
• MLOps & Dev Ops:
  Demonstrated experience with model lifecycle management, CI/CD pipelines, and designing resilient, serverless AI workloads.
• Problem Solving:
  Proven ability to troubleshoot, refactor, and optimize existing AI solutions to meet 99.8% accuracy targets.
• Soft Skills:
  
  Ability to lead architectural discussions with executive stakeholders and translate business needs into technical AI requirements.

We proudly offer competitive compensation, a comprehensive and well‑rounded benefits package for full‑time employees that have been designed to nourish your well‑being, such as health coverage, wellness programs, 401(k) company match, self‑managed PTO, and other unique incentives that celebrate your accomplishments.

• Remote and Hybrid Work
• Time Off When You Need It
• Benefits That Flex
• Professional Development

We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans’ status, or any other characteristic protected by federal, state, or local laws. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the application or interview process.