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EchoStar

Senior Manager, AI Engineering and Operations

Posted An Hour Ago
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In-Office
3 Locations
154K-209K Annually
Senior level
In-Office
3 Locations
154K-209K Annually
Senior level
Leads AI engineering teams building and scaling production-grade agentic AI applications, multi-agent systems, LLM orchestration, and intelligent workflows. Oversees Databricks on AWS platform operations, architecture, security, and optimization. Establishes engineering standards for Python development, testing, CI/CD, and DevOps/DataOps, while partnering with Product teams on execution. Manages engineering leaders and staff, drives hiring and mentorship, and shapes the organization’s AI technical direction.
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Company Summary

EchoStar 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 EchoStar 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 DevOps/DataOps tooling, including GitLab, 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 LangChain, LlamaIndex, or AutoGen
    • Databricks and AWS cloud infrastructure optimization
    • Python development and modern DevOps/DataOps tools including GitLab, Artifactory, and CI/CD pipelines

 

Visa sponsorship not available for this role


Salary Ranges
Compensation: $154,275.00/Year - $208,725.00/Year
Benefits

We offer versatile health perks, including flexible spending accounts, HSA, a 401(k) Plan with company match, ESPP, career opportunities, and a flexible time away plan; all benefits can be viewed here: EchoStar Benefits.

 

The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies; compensation is based on the role's location and is subject to change based on work location. 

 

Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws.

 

The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled.

 

We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process.
EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)

HQ

EchoStar Englewood, Colorado, USA Office

EchoStar Corporate Headquarters - Meridian Office

9601 S Meridian Boulevard, Englewood, CO, United States, 80112

EchoStar Centennial, Colorado, USA Office

Centennial, United States

EchoStar Denver, Colorado, USA Office

EchoStar Downtown Denver Office - DGC Office

1615 17th St., Denver, CO, United States, 80202

EchoStar Littleton, Colorado, USA Office

EchoStar Wireless Headquarters - Riverfront Office

5701 S Santa Fe Dr., Littleton, CO, United States, 80120

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