Senior Copilot & Azure AI Foundry Engineer

Posted 2 Days Ago
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Charlotte, NC, USA
In-Office
Senior level
Digital Media • News + Entertainment
The Role
Lead design, build, and scaling of enterprise AI solutions on Azure AI. Optimize Copilot Studio agents, modernize generative experiences, implement advanced RAG with vector search, manage end-to-end MLOps/CI-CD, create infrastructure-as-code, and provide architectural leadership and documentation for operational handoff.
Summary Generated by Built In

Hearst Television (HTV) is hiring a Senior Copilot & Azure AI Foundry Engineer to lead the build of our next-generation platform. You will be instrumental in designing, building, stabilizing, and scaling enterprise-grade AI solutions using Microsoft’s Azure AI ecosystem. As a senior technical resource with expertise in AI architectures, MLOps, and orchestration frameworks, you will evaluate and enhance our Copilot Studio agents, ensuring they are scalable, accurate, maintainable, and aligned with modern Azure AI best practices. This role is central to our mission of transforming media sales through prescriptive, actionable intelligence. This position does not provide sponsorship.

What You’ll Do

· 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.

Requirements

· 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 (formerly Azure AI Studio).

· 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 & DevOps: 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.

Values in Action

At Hearst Television we tell stories every day. Stories about people of all backgrounds, perspectives, and identities. That’s why, behind the scenes, we believe in being an organization that fosters collaboration and open communication, ensuring that the content we create is authentic, accurate, and connected to the communities we serve.

Benefits

Hearst's benefit programs are modern, flexible and designed to focus on you. As a Hearst employee, you and your spouse or partner or dependents would have access to the following benefits:

· Medical | Dental | Vision

· 401(k) matching

· Emotional Wellness Support

· Paid Time Off & Parental Leave

· LGBTQ+ Health Services

Skills Required

  • 8+ years in software architecture or cloud engineering with at least 3+ years focused on production-grade AI/ML solutions
  • Hands-on experience with Microsoft Copilot Studio
  • Hands-on experience with Azure AI Foundry (formerly Azure AI Studio)
  • Expert-level Python for AI/ML development and automation
  • Experience with C#, .NET, or Java
  • Deep understanding of Generative AI, prompt engineering, RAG architectures, embeddings, and vector databases
  • Experience integrating Azure Cognitive Search with vector embeddings and custom RAG endpoints
  • Demonstrated MLOps and DevOps experience: model lifecycle management, CI/CD pipelines, monitoring, and designing resilient serverless AI workloads
  • Experience developing infrastructure-as-code for resilient workloads
  • Proven ability to troubleshoot, refactor, and optimize AI solutions to meet high accuracy targets
  • Ability to lead architectural discussions with executive stakeholders and translate business needs into technical requirements
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The Company
HQ: New York, NY
3,010 Employees
Year Founded: 1887

What We Do

Hearst is a leading global, diversified media, information and services company with more than 360 businesses. Its major interests include ownership in cable television networks such as A&E, HISTORY, Lifetime and ESPN; global financial services leader Fitch Group; Hearst Health, a group of medical information and services businesses; transportation assets including CAMP Systems International, a major provider of software-as-a-service solutions for managing maintenance of jets and helicopters; 33 television stations such as WCVB-TV in Boston and KCRA-TV in Sacramento, California, which reach a combined 19 percent of U.S. viewers; newspapers such as the Houston Chronicle, San Francisco Chronicle and Times Union (Albany, New York); more than 300 magazines around the world, including Cosmopolitan, ELLE, Men's Health and Car and Driver, and digital services businesses such as iCrossing and KUBRA; and investments in emerging digital entertainment companies such as Complex Networks.

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