Staff AI Engineer – Content Velocity

Job Title: Staff AI Engineer -- Content Velocity

Location: Remote -- within the United States

Duration: 1 year contract, most likely to extend

Interview Mode: Phone then Video

Staff AI Engineer

• For the engineering profiles, client wants candidates who are very strong in at least one cloud environment .

• The specific cloud is less important than having strong depth, although his preference is:

  • AWS
  • Azure
  • GCP

• Beyond cloud experience, the focus is increasingly on engineers who have experience building event-driven applications .

OVERALL SUMMARY

As part of the Operations & Technology Solutions Architecture team, Principal Architects are responsible for the architecture and maintenance of systems to support on-air reliability of numerous workflows for NBCUniversal's broadcast and streaming channels. This includes internal business applications, new technology initiatives, and consumer-facing systems. The successful candidate will work closely with clients (users) to complete the analysis and design of systems and follow the implementation to completion. Principal Architects are expected to develop highly available, fault tolerant architectures following industry standards and best practices. They are expected to lead other architects and develop standards and best practices across the architecture landscape.

RESPONSIBILITIES

• Applies extensive knowledge of theories, practices and design matters.
• Works on issues that impact program success or addresses future concepts and products. Implementation of solutions requires a longer-term view which impacts strategic goals and objectives spanning several functions.
• Exercise a wide latitude in determining objectives and approaches to critical assignments.
• Knowledge with broadcast production or video content management systems
• Knowledge of media management strategies and distribution workflows
• Lead and contributes to development of company objectives across and principles to achieve goals
• Deep understanding of AWS/Azure services and products
• Provide feasibility reviews for potential new projects, including development effort estimates
• Strong understanding of the C4 model and traditional design artifacts
• Work with Engineering and Quality Assurance to identify and address reported issues quickly and effectively
• Build and maintain scalable backend microservices using Python and FastAPI, deployed as varying serverless infrastructure.
• Develop tools, constraints (guardrails), and deterministic functions that our AI agents use to edit visual assets. Integrate models on owned infrastructure for inference and integrate third-party AI endpoints.
• Implement complex distributed workflows for high-volume job orchestration and dispatching (e.g. EventBridge, queues, DynamoDB streams).
• Terraform contributions to provision and mange cloud resources safely and effectively across multiple environments.
• Contribute to our modern backend orchestration or modern web frontends.
• Write robust unit and end-to-end tests to ensure the stability of both standard APIs and AI agent outputs, ensuring smooth deployments.

QUALIFICATIONS/REQUIREMENTS

• 7 years of professional software engineering experience with a strong grasp of the Software Development Life Cycle and version control.
• Strong proficiency in modern Python. Hands-on experience deploying and operating services in AWS, Azure, and/or GCP.
• Practical experience integrating LLMs into software applications. You must understand how to interact with inferencing endpoints, manage context windows, and parse AI-generated content.
• Applied experience with Terraform or similar IAC tools to manage cloud resources.
• A strong commitment to writing clean, maintainable, and well-tested code. Experience working in an agile environment with rigorous code-review standards.
• Expert experience, understanding and knowledge of digital and broadcast production operations and workflows
• Strong knowledge of AI industry trends and best practices
• Strong experience with the C4 model and other traditional design artifacts
• Experience working in an Agile environment

DESIRED CHARACTERISTICS

• 7 years of a programming languages such as Java, Golang, Python, JavaScript
• 5 years working with the AWS cloud
• 1 years working with the Azure cloud
• Familiarity with continuous integration practices
• BS in CS, EE or equivalent experience required
• Strong software engineering fundamentals are more important than finding an elite AI specialist.
• Practical AI engineering experience required.
• Experience building production AI applications utilizing LLMs.
• Experience with AI agents, orchestration, and distributed systems preferred.
• Strong communication skills required.
• Contractors will participate in daily standups, Scrum ceremonies, and standard engineering workflows.
• Looking for engineers who can ramp quickly and contribute immediately.