Senior Manager, AI Engineering and Operations

Company Summary Echo Star  is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products.

Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV. Department Summary Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow.

Job Duties and Responsibilities Candidates must be willing to participate in at least one in-person interview.

The Senior Manager of AI Engineering at Echo Star leads the engineering teams responsible for building, deploying, and scaling the next-generation AI ecosystem. This forward-looking leadership position focuses on solving complex challenges in Agentic AI application engineering, intelligent orchestration, and multi-agent system productionalization. The role addresses the need for enterprise-grade scalability by overseeing core Databricks on AWS platform operations that empower advanced LLM-driven capabilities.

Reporting directly to the Head of AI Engineering, this position shapes the technical direction of AI during a period of rapid organizational expansion.

What Success Looks Like (Objectives):

Spearhead the architecture, development, and productionalization of advanced Agentic AI applications, multi-agent systems, and intelligent workflows

Direct-line manage engineering managers and a growing team of junior, mid-level, and senior engineers; drive hiring, onboarding, and technical mentorship as the team expands its application capabilities

Provide executive and architectural oversight for the core AI/ML platform (Databricks on AWS), ensuring a highly stable, secure, and optimized environment that accelerates AI application deployment

Partner closely with dedicated Product Managers and Product Owners to translate a bleeding-edge AI product roadmap into concrete, predictable engineering execution

Establish modern software engineering standards for AI applications, enforcing best practices for code quality, testing frameworks, CI/CD pipelines, and Python development

Skills, Experience and Requirements Core Skills and Competencies (What you’ll bring):

Deep professional expertise in building and deploying production-grade AI applications, Agentic AI workflows, LLM orchestration frameworks, and vector databases

Solid architectural capabilities with Databricks and AWS to effectively guide platform operations and ensure infrastructure aligns with application needs

Advanced proficiency in Python and modern Dev Ops/Data Ops tooling, including Git Lab, Artifactory, and CI/CD pipelines

Expert-level capability in Agile and Scrum methodologies using Jira and Confluence to run highly efficient engineering sprints in partnership with Product management

Critical experience leading high-performing software or data engineering teams for over seven years, including at least three years of formal people management AI Innovation skills to successfully spearhead next-generation intelligent orchestration across expanding organizational boundaries

Minimum Requirements:

Minimum Education:

Bachelor’s Degree in Computer Science, Engineering, or a related technical field

Minimum Experience:

7 years of experience in software or data engineering, with at least 3 years in a formal people management role Required Technical

Skills:

Must have at least 3 years of experience with:

Production-grade AI applications, Agentic AI workflows, and LLM orchestration frameworks such as Lang Chain, Llama Index, or Auto Gen Databricks  and…