Head of Agentic AI Platform Operations

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, which may include a live whiteboarding or technical assessment session.
The rapid evolution of generative AI presents a critical challenge in moving from isolated proof-of-concepts to a unified, production-grade digital workforce. This senior leadership position focuses on building, inspiring, and scaling a world-class team of platform engineers dedicated to the organization's Agentic AI ecosystem. Success requires championing a culture of operational excellence, psychological safety, and cross-functional collaboration while guiding the team through complex technical challenges around platform stability, security, and enterprise integration. By aligning top-tier human talent with cutting-edge infrastructure, this role empowers engineering teams to deliver secure, resilient, and highly impactful digital workforces that drive measurable business value.
What Success Looks Like (Objectives)

• Build, mentor, and inspire a high-performing team of platform engineers and architects, establishing a team culture of technical excellence, continuous development, and high engagement
• Define and execute the strategic operational roadmap to transition isolated AI proof-of-concepts into a scaled, enterprise-wide digital worker ecosystem
• Drive robust collaboration and alignment across AI Engineering, Cyber-Security, Data Science, and business units to identify, prioritize, and deploy high-value agentic solutions
• Empower the engineering organization to design and run secure, resilient, and observable agent runtimes that strictly adhere to compliance, governance, and safety guardrails
• Coach and advocate for technical leaders within the team, establishing clear career progression paths and cultivating a diverse, inclusive talent pipeline

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

• Proven capability to lead, inspire, and scale high-performing engineering teams, demonstrating exceptional emotional intelligence, mentorship, and talent development skills
• Strong strategic influence and communication skills, with a track record of translating complex AI technologies into clear, value-driven business strategies for executive stakeholders
• Exceptional operational leadership, with experience managing engineering budgets, resource allocation, and cloud provider/vendor relationships in rapid-growth environments
• Advanced technical leadership in AI platform architecture, guiding teams through complex LLM orchestration, security guardrails, and event-driven systems
• Dedication to cultivating inclusive and collaborative team environments, fostering diverse viewpoints, and driving alignment across a matrixed global enterprise

Additional Qualifications:

• Experience utilizing modern observability frameworks and infrastructure-as-code tools to maintain distributed system health

Minimum Requirements

• Minimum Education: Bachelor's Degree in Computer Science, AI, Data Science, or a related quantitative field
• Minimum Experience: 12 years of experience in Engineering, Product, or Platform Operations, with at least 5 years in a senior leadership capacity managing and scaling technical teams
• Required Technical Skills: Must have at least 3 years of experience with:
  
  • LLM orchestration frameworks such as LangGraph, CrewAI, AutoGen, or LlamaIndex
  • Kubernetes, Docker, and CI/CD pipelines for AI/ML workloads
  • Designing Retrieval-Augmented Generation (RAG) pipelines and event-driven architectures

Salary Ranges
Compensation: $177,650.00/Year - $240,350.00/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 )