Provide high-level technical guidance to the team, ensuring architectural decisions align with best practices for scalability, security, and the use of hybrid control flows and state machines
Champion the adoption of modern agent interoperability standards (e.g., MCP, A2A) and secure tool execution environments across the organization's AI initiatives
Drive engineering excellence by establishing robust agile processes, code quality standards, and CI/CD/observability practices for LLM-powered applications
Core Skills, Competencies, and Key Experiences (What you’ll bring)
Ability to manage resource allocation, identify technical roadblocks, and facilitate cross-functional collaboration between AI, backend, data, and infrastructure teams
Strong leadership skills with the ability to communicate complex technical details clearly to varied audiences, ranging from executive leadership to deeply technical staff engineers
Ability to effectively manage project scopes, timelines, and technical trade-offs; balancing probabilistic LLM behavior with deterministic enterprise constraints
Strong foundational knowledge of modern generative AI architectures, including cloud-based foundation models (e.g., AWS Bedrock) and multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen)
Familiarity with modern deployment infrastructure, containerization, and DevOps practices (e.g., Docker, EKS, GitLab CI/CD)
Critical experience managing teams that successfully design, build, and ship LLM-powered applications or complex distributed systems into live production
Additional Qualifications
Previous hands-on experience as a Lead or Staff-level engineer working with generative AI, ML, or advanced orchestration systems
Familiarity with enterprise AI deployment platforms, observability tools, and large-scale data systems for context processing
Candidates must be willing to participate in at least one in-person interview.
Minimum Requirements
Minimum Education: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
Minimum Experience: 8+ years of experience in software or ML/AI engineering, with at least 3 years in a direct people management role leading high-performing engineering teams
Required Technical Skills: Must have at least 3 years of experience with:
Designing, building, and shipping LLM-powered applications or complex distributed systems into live production
Modern architectures, generative AI, ML, or advanced orchestration systems
#LI-CH2
Salary Range
Compensation: $153,755.00/Year - $210,000.00/Year
About Our Department
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.
About Our Company
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.
Benefits
We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary 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.
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.
This job posting will be active for a minimum of 3 days and 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 leaves@dish.com 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. If you have questions regarding your application or the recruitment process please email Recruiting@Dish.com.
Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)
Recruit, mentor, and lead a highly skilled team of AI engineers and architects, fostering a culture of technical excellence, accountability, and continuous innovation
Oversee the end-to-end delivery of autonomous AI services and multi-agent workflows, ensuring projects are delivered on time, within scope, and to enterprise production standards
Partner with senior leadership and product owners to define the AI technical roadmap, prioritize initiatives, and align engineering execution with overarching business objectives
Provide high-level technical guidance to the team, ensuring architectural decisions align with best practices for scalability, security, and the use of hybrid control flows and state machines
Champion the adoption of modern agent interoperability standards (e.g., MCP, A2A) and secure tool execution environments across the organization's AI initiatives
Drive engineering excellence by establishing robust agile processes, code quality standards, and CI/CD/observability practices for LLM-powered applications
Ability to manage resource allocation, identify technical roadblocks, and facilitate cross-functional collaboration between AI, backend, data, and infrastructure teams
Strong leadership skills with the ability to communicate complex technical details clearly to varied audiences, ranging from executive leadership to deeply technical staff engineers
Ability to effectively manage project scopes, timelines, and technical trade-offs; balancing probabilistic LLM behavior with deterministic enterprise constraints
Strong foundational knowledge of modern generative AI architectures, including cloud-based foundation models (e.g., AWS Bedrock) and multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, AutoGen)
Familiarity with modern deployment infrastructure, containerization, and DevOps practices (e.g., Docker, EKS, GitLab CI/CD)
Critical experience managing teams that successfully design, build, and ship LLM-powered applications or complex distributed systems into live production
Additional Qualifications
Previous hands-on experience as a Lead or Staff-level engineer working with generative AI, ML, or advanced orchestration systems
Familiarity with enterprise AI deployment platforms, observability tools, and large-scale data systems for context processing
Candidates must be willing to participate in at least one in-person interview.
Minimum Requirements
Minimum Education: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
Minimum Experience: 8+ years of experience in software or ML/AI engineering, with at least 3 years in a direct people management role leading high-performing engineering teams
Required Technical Skills: Must have at least 3 years of experience with:
Designing, building, and shipping LLM-powered applications or complex distributed systems into live production
Modern architectures, generative AI, ML, or advanced orchestration systems
#LI-CH2
