Hearst Television Inc

Senior Copilot & Azure AI Foundry Engineer

Hearst Television Inc$120K — $150K *
Enterprise Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years in software architecture or cloud engineering, with 3+ years in production-grade AI/ML solutions.
  • Strong hands-on experience with Microsoft Copilot Studio and Azure AI Foundry.
  • Expert-level Python development for AI/ML; experience in C#, .NET, or Java is a plus.
  • Solid understanding of Generative AI, prompt engineering, RAG architectures, and vector databases.
  • Demonstrated experience with model lifecycle management and CI/CD pipelines.
  • Proven troubleshooting and optimization skills for AI solutions to meet high accuracy targets.
  • Ability to lead architecture discussions and align technical requirements with business needs.

Responsibilities

  • Analyze and refactor Copilot Studio agents for improved efficiency and maintainability.
  • Transition static topics into generative experiences using Azure AI approaches.
  • Integrate Azure AI Foundry capabilities for enhanced solution accuracy.
  • Implement advanced AI features such as multi-step reasoning and context persistence.
  • Design and manage scalable AI/ML pipelines for model fine-tuning and monitoring.
  • Lead architectural design, ensuring solutions are maintainable by internal teams.
  • Develop infrastructure-as-code and comprehensive documentation for operational efficiency.

Benefits

  • Medical, Dental, Vision coverage.
  • 401(k) matching program.
  • Emotional Wellness Support.
  • Paid Time Off & Parental Leave.
  • LGBTQ+ Health Services.
Full Job Description
Job Description

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.

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

About Hearst Television Inc

Hearst Television Inc is a broadcasting company that owns and operates 33 television stations in the United States. The company was founded in 1948 and is headquartered in New York City. Hearst Television is a subsidiary of Hearst Communications, which is one of the largest diversified media and information companies in the world. The company's stations reach approximately 21 million households across the United States, making it one of the largest television station groups in the country. Hearst Television's stations are affiliated with major broadcast networks such as ABC, NBC, CBS, and FOX.
Learn more about Hearst Television Inc
Size
3,500 employees
Industry
Founded
1997

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