Senior Agentic AI Engineer

EchoStar; San Mateo (CA); Presencial; USD 134 000 - 182 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health perks

401(k) plan with company match

Employee stock purchase plan

Flexible time away plan

Resumo da oferta

EchoStar is seeking a Senior Agentic AI Engineer in San Mateo to design, build and productionize enterprise-grade autonomous AI services and multi-agent workflows. You will translate business needs into scalable microservices, implement MCP and A2A protocols, and balance probabilistic LLM behavior with deterministic code paths in a secure environment.

Join a team applying SRE practices, with emphasis on observability, reliability, and audit trails while collaborating across disciplines to

Qualificações

• Bachelor's degree in CS, data science, AI or related field.
• 4+ years of software or data science experience.
• Strong Python and microservices skills.

Responsabilidades

• Design, build, and deploy autonomous AI services and multi-agent workflows to production.
• Implement MCP/A2A integrations for agent-to-tool and agent-to-agent coordination.
• Architect hybrid control flows, state machines and graphs for multi-step reasoning.
• Ensure runtime safety with sandboxed tool execution and strict egress controls.
• Collaborate with cross-functional teams to translate requirements into scalable microservices.
• Apply SRE principles with robust fallbacks and audit trails for observability.

Conhecimentos

Python

Microservices

MCP/A2A

AWS Bedrock

Containerization

LLM production

Formação académica

Bachelor's in CS/AI

Ferramentas

LangGraph

CrewAI

AutoGen

Bedrock AgentCore

Docker

Kubernetes

Descrição da oferta de emprego

What Success Looks Like (Objectives):

Candidates must be willing to participate in at least one in-person interview.

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.

• Design, develop, and deploy autonomous AI services and multi-agent workflows from initial concept to full enterprise production
• Implement open communication protocol integrations with MCP for agent-to-tool integration and A2A for secure agent-to-agent coordination and task delegation
• Architect hybrid control flows, state machines, and graphs to manage multi-step reasoning, balancing probabilistic LLM behavior with deterministic code paths for critical backend transactions
• Integrate secure tool execution environments, utilizing sandboxed execution contexts and strict egress controls to ensure runtime safety
• Collaborate with cross-functional teams to translate business requirements into technical agent specifications and scalable microservices
• Apply SRE principles to agent behavior, establishing robust fallback mechanisms, circuit breakers, and detailed audit trails to ensure system observability and reliability

Core Skills, Competencies, and Key Experiences (What you’ll bring)

• Advanced coding skills in Python, with a deep understanding of backend frameworks and distributed microservices architecture
• Deep understanding of agent interoperability and communication standards, including Model Context Protocol (MCP) and Agent-to-Agent (A2A) protocol design
• AI engineering proficiency with cloud-based foundation model platforms, specifically AWS Bedrock or enterprise equivalents
• Technical expertise in containerization, CI/CD pipelines, and cloud infrastructure
• Proven track record of shipping LLM-powered systems into live production environments

Additional Qualifications:

• Experience with multi-agent orchestration frameworks such as LangGraph, CrewAI, or AutoGen
• Familiarity with agent deployment platforms and infrastructure hosting like Bedrock AgentCore or equivalent production-grade hosting environments
• Experience with big data platforms and distributed systems for large-scale context processing

Minimum Requirements:

• Minimum Education: Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field
• Minimum Experience: 4 years of experience in software development or data science
• Required Technical Skills: Must have at least 4 years of experience with:
  • Python
  • Microservices architecture

Visa sponsorship not available for this role

Salary Range

Compensation: $134,406.00/Year - $181,844.00/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.

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 [e-mail] 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 [e-mail].

Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish)