{"id":4245342,"url":"https://alion.io/job/echostar-senior-agentic-ai-engineer","title":"Senior Agentic AI Engineer","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":["San Mateo, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":134406,"max":181844,"currency":"USD","period":"year","gross":null,"usd_annual":181844},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":true,"relocation_package":false,"has_equity":true,"technologies":[{"name":"A2A","optional":false},{"name":"AI Agents","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"CI/CD","optional":false},{"name":"CrewAI","optional":false},{"name":"LangGraph","optional":false},{"name":"LLM","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"Python","optional":false},{"name":"LangChain","optional":true}],"status":"live","first_seen_at":"2026-10-19T19:57:00Z","employer_posted_date":"2026-11-13","last_verified_at":"2026-11-13T12:29:26Z","board_verified":true,"closed_at":null,"days_open":24,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":24},"description":"EchoStar is seeking a skilled and innovative Senior Agentic AI Engineer to join the AI team. This role involves designing, building, and bringing to production enterprise-grade AI solutions and autonomous multi-agent systems. The position plays a key role in developing scalable generative AI products that move completely past experimental proof-of-concepts (POCs) to drive measurable business impact.\nWhat Success Looks Like (Objectives):\nDesign, develop, and deploy autonomous AI services and multi-agent workflows from initial concept to full enterprise production\nImplement open communication protocol integrations with MCP for agent-to-tool integration and A2A for secure agent-to-agent coordination and task delegation\nArchitect hybrid control flows, state machines, and graphs to manage multi-step reasoning, balancing probabilistic LLM behavior with deterministic code paths for critical backend transactions\nIntegrate secure tool execution environments, utilizing sandboxed execution contexts and strict egress controls to ensure runtime safety\nCollaborate with cross-functional teams to translate business requirements into technical agent specifications and scalable microservices\nApply SRE principles to agent behavior, establishing robust fallback mechanisms, circuit breakers, and detailed audit trails to ensure system observability and reliability\nCore Skills, Competencies, and Key Experiences (What you’ll bring)\nAdvanced coding skills in Python, with a deep understanding of backend frameworks and distributed microservices architecture\nDeep understanding of agent interoperability and communication standards, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol design\nAI engineering proficiency with cloud-based foundation model platforms, specifically AWS Bedrock or enterprise equivalents\nTechnical expertise in containerization, CI/CD pipelines, and cloud infrastructure\nProven track record of shipping LLM-powered systems into live production environments\nAdditional Qualifications:\nExperience with multi-agent orchestration frameworks such as LangGraph, CrewAI, or AutoGen\nFamiliarity with agent deployment platforms and infrastructure hosting like Bedrock AgentCore or equivalent production-grade hosting environments\nExperience with big data platforms and distributed systems for large-scale context processing\nMinimum Requirements:\nMinimum Education: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field\nMinimum Experience: 4 years of experience in software development or data science\nRequired Technical Skills: Must have at least 4 years of experience with:Python\nMicroservices architecture\n\nVisa sponsorship not available for this role\nSalary Range\nCompensation: $134,406.00/Year - $181,844.00/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)\nDesign, develop, and deploy autonomous AI services and multi-agent workflows from initial concept to full enterprise production\nImplement open communication protocol integrations with MCP for agent-to-tool integration and A2A for secure agent-to-agent coordination and task delegation\nArchitect hybrid control flows, state machines, and graphs to manage multi-step reasoning, balancing probabilistic LLM behavior with deterministic code paths for critical backend transactions\nIntegrate secure tool execution environments, utilizing sandboxed execution contexts and strict egress controls to ensure runtime safety\nCollaborate with cross-functional teams to translate business requirements into technical agent specifications and scalable microservices\nApply SRE principles to agent behavior, establishing robust fallback mechanisms, circuit breakers, and detailed audit trails to ensure system observability and reliability\nAdvanced coding skills in Python, with a deep understanding of backend frameworks and distributed microservices architecture\nDeep understanding of agent interoperability and communication standards, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol design\nAI engineering proficiency with cloud-based foundation model platforms, specifically AWS Bedrock or enterprise equivalents\nTechnical expertise in containerization, CI/CD pipelines, and cloud infrastructure\nProven track record of shipping LLM-powered systems into live production environments\nAdditional Qualifications:\nExperience with multi-agent orchestration frameworks such as LangGraph, CrewAI, or AutoGen\nFamiliarity with agent deployment platforms and infrastructure hosting like Bedrock AgentCore or equivalent production-grade hosting environments\nExperience with big data platforms and distributed systems for large-scale context processing\nMinimum Requirements:\nMinimum Education: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field\nMinimum Experience: 4 years of experience in software development or data science\n Required Technical Skills: Must have at least 4 years of experience with:Python\nMicroservices architecture\n\nVisa sponsorship not available for this role","description_format":"text","description_chars":8452,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Satellite Communications","Internet Service 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