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EchoStar - icims TEST

Lead Agentic AI Engineer

Posted 11 Days Ago
Be an Early Applicant
In-Office
San Mateo, CA, USA
154K-208K Annually
Senior level
In-Office
San Mateo, CA, USA
154K-208K Annually
Senior level
Lead technical delivery of agentic multi-agent LLM systems: mentor engineers, define AI roadmap and architecture, design hybrid control flows/state machines, build scalable microservices, integrate MCP/A2A protocols and agent orchestration frameworks, and productionize solutions with cross-functional teams.
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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.

 

EchoStar is seeking a strategic and visionary Lead Agentic AI Engineer to drive autonomous multi-agent system initiatives and define the future of generative AI products. This leadership role focuses on moving past experimental proof-of-concepts to deliver scalable, highly performant, and cost-effective solutions that drive measurable business impact and long-term innovation. Collaborating closely with business teams, product owners, and engineering units, this position translates complex workflows into resilient, production-ready microservices and architectures. By leveraging advanced agentic AI techniques, this role will actively revolutionize the entertainment industry and shape the next generation of digital entertainment experiences.

 

What Success Looks Like (Objectives):

  • Mentor and lead a team of AI engineers to foster a culture of technical excellence and innovation
  • Define long-term technical strategy for the AI roadmap, collaborating with leadership to align engineering design with business objectives
  • Conduct architectural reviews and set standards for code quality, scalability, and security across multi-agent workflows
  • Design, develop, and deploy scalable AI services and hybrid control flows, state machines, and graphs to manage multi-step reasoning
  • Implement open communication protocol integrations with MCP for agent-to-tool integration and A2A for secure agent-to-agent coordination
  • Collaborate with cross-functional teams to translate business requirements into technical agent specifications and production-ready architectures

Skills, Experience and Requirements

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

  • Technical leadership and mentorship capabilities to drive a culture of technical excellence and innovation
  • Ability to define long-term technical strategies and align complex engineering designs with broader business objectives
  • Strong skills in conducting architectural reviews and establishing enterprise-wide standards for code quality, scalability, and security
  • Deep expertise in building hybrid control flows, state machines, and graphs to balance probabilistic LLM behavior with deterministic paths
  • Advanced AI application skills, specifically regarding multi-agent orchestration frameworks and open communication protocols like MCP and A2A
  • Collaboration and communication skills to bridge technical specifications with cross-functional business requirements

 

Additional Qualifications:

  • Familiarity with agent deployment platforms and infrastructure hosting such as Bedrock AgentCore
  • Experience with big data platforms and distributed systems for large-scale context processing

 

Minimum Requirements:

  • Bachelor’s Degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
  • 8 years of experience in software development, with at least 3 years in a technical leadership or staff-level capacity, and a proven track record of shipping LLM-powered systems into live production
  • Must have at least 3 years of experience with:
    • Software development and machine learning
    • Containerization, CI/CD pipelines, and cloud infra such as Docker, EKS, or GitLab CI/CD

Salary Ranges
Compensation: $153,755.00/Year - $208,035.00/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)

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