{"id":4245384,"url":"https://alion.io/job/echostar-senior-manager-ai-engineering-and-operations","title":"Senior Manager, AI Engineering and Operations","company":{"id":1846584,"name":"EchoStar","domain":"echostar.com","url":"https://alion.io/company/echostar","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Jibe","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Littleton, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":154275,"max":208725,"currency":"USD","period":"year","gross":null,"usd_annual":208725},"salary_estimate":null,"experience_years_min":3,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Confluence","optional":false},{"name":"Databricks","optional":false},{"name":"GitLab","optional":false},{"name":"Jira","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false}],"status":"live","first_seen_at":"2026-09-29T22:10:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T12:29:26Z","board_verified":true,"closed_at":null,"days_open":44,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":44},"description":"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.\nWhat Success Looks Like (Objectives):\nSpearhead the architecture, development, and productionalization of advanced Agentic AI applications, multi-agent systems, and intelligent workflows\nDirect-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\nProvide 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\nPartner closely with dedicated Product Managers and Product Owners to translate a bleeding-edge AI product roadmap into concrete, predictable engineering execution\nEstablish modern software engineering standards for AI applications, enforcing best practices for code quality, testing frameworks, CI/CD pipelines, and Python development\nCore Skills, Competencies, and Key Experiences (What you’ll bring)\nDeep professional expertise in building and deploying production-grade AI applications, Agentic AI workflows, LLM orchestration frameworks, and vector databases\nSolid architectural capabilities with Databricks and AWS to effectively guide platform operations and ensure infrastructure aligns with application needs\nAdvanced proficiency in Python and modern DevOps/DataOps tooling, including GitLab, Artifactory, and CI/CD pipelines\nExpert-level capability in Agile and Scrum methodologies using Jira and Confluence to run highly efficient engineering sprints in partnership with Product management\nCritical experience leading high-performing software or data engineering teams for over seven years, including at least three years of formal people management\nAI Innovation skills to successfully spearhead next-generation intelligent orchestration across expanding organizational boundaries\nCandidates must be willing to participate in at least one in-person interview.\nMinimum Requirements:\nMinimum Education: Bachelor’s Degree in Computer Science, Engineering, or a related technical field\nMinimum Experience: 7 years of experience in software or data engineering, with at least 3 years in a formal people management role\nRequired Technical Skills: Must have at least 3 years of experience with:AI applications, Agentic AI workflows, or LLM orchestration frameworks such as LangChain, LlamaIndex, or AutoGen\nDatabricks and AWS cloud infrastructure optimization\nPython development and modern DevOps/DataOps tools including GitLab, Artifactory, and CI/CD pipelines\n\nVisa sponsorship not available for this role\nSalary Range\nCompensation: $154,275.00/Year - $208,725.00/Year\nAbout Our Department\nOur 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.\nAbout Our Company\nEchoStar 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.\nToday, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.\nBenefits\nWe 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 \nThe 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.\nCandidates 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.\nThis job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled.\nWe 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.\nEchoStar 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  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 .\nClick the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English / Spanish)\nSpearhead the architecture, development, and productionalization of advanced Agentic AI applications, multi-agent systems, and intelligent workflows\nDirect-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\nProvide 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\nPartner closely with dedicated Product Managers and Product Owners to translate a bleeding-edge AI product roadmap into concrete, predictable engineering execution\nEstablish modern software engineering standards for AI applications, enforcing best practices for code quality, testing frameworks, CI/CD pipelines, and Python development\nDeep professional expertise in building and deploying production-grade AI applications, Agentic AI workflows, LLM orchestration frameworks, and vector databases\nSolid architectural capabilities with Databricks and AWS to effectively guide platform operations and ensure infrastructure aligns with application needs\nAdvanced proficiency in Python and modern DevOps/DataOps tooling, including GitLab, Artifactory, and CI/CD pipelines\nExpert-level capability in Agile and Scrum methodologies using Jira and Confluence to run highly efficient engineering sprints in partnership with Product management\nCritical experience leading high-performing software or data engineering teams for over seven years, including at least three years of formal people management\nAI Innovation skills to successfully spearhead next-generation intelligent orchestration across expanding organizational boundaries\nCandidates must be willing to participate in at least one in-person interview.\nMinimum Requirements:\nMinimum Education: Bachelor’s Degree in Computer Science, Engineering, or a related technical field\nMinimum Experience: 7 years of experience in software or data engineering, with at least 3 years in a formal people management role\nRequired Technical Skills: Must have at least 3 years of experience with:AI applications, Agentic AI workflows, or LLM orchestration frameworks such as LangChain, LlamaIndex, or AutoGen\nDatabricks and AWS cloud infrastructure optimization\nPython development and modern DevOps/DataOps tools including GitLab, Artifactory, and CI/CD pipelines\n\nVisa sponsorship not available for this 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