Job Duties and ResponsibilitiesCandidates 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.
What Success Looks Like (Objectives):- 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
Skills, Experience and RequirementsCore Skills and Competencies (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: 5 years of experience in software development or data science
- Required Technical Skills: Must have at least 5 years of experience with:
- Python
- AWS Bedrock, Azure OpenAI, or GCP Vertex AI
- Microservices architecture
Salary RangesCompensation: $134,406.00/Year - $181,844.00/Year
BenefitsWe 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.
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.
