Lead Agentic AI Engineer

Lead Agentic AI Engineer

Denver,CO

Client Dish TV

EchoStar is seeking a strategic and visionary Lead Agentic AI Engineer to drive our AI initiatives. In this
leadership role, you will provide high-level architectural oversight, mentor engineering teams, and define the
future of autonomous multi-agent systems. You will be responsible for moving past experimental
proof-of-concepts (POCs) to deliver scalable, highly performant, and cost-effective generative AI products that
drive measurable business impact and long-term innovation.
In this role, you will work closely with business, product owners and AI engineers to translate complex
workflows into resilient, production-ready architectures. The ideal candidate combines robust software
engineering foundations, a deep understanding of standard agentic communication protocols, and hands-on
experience with modern orchestration frameworks to shape the next generation of digital experiences.
Join us in leveraging advanced agentic AI techniques to revolutionize the entertainment industry. Be a key
player in developing autonomous, production-ready solutions that will shape the future of digital
entertainment experiences through the power of cutting-edge AI engineering.
Primary Responsibilities
Mentor and lead a team of AI engineers, fostering a culture of technical excellence and innovation.
Define long-term technical strategy for AI roadmap, collaborating with leadership to align engineering
design with business objectives.
Conduct architectural reviews and set standards for code quality, scalability, and security
Design, develop, & deploy AI services and multi-agent workflows in enterprise environments
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.
Collaborate with cross-functional teams to translate business requirements into technical agent
specifications and scalable microservices.
Requirements
Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical field.
8+ years of experience in software development, with at least 3 years in a technical leadership or
staff-level capacity, and a proven track record of shipping LLM-powered systems into live production.
Hands-on experience with cloud-based foundation model platforms, like AWS Bedrock
Familiarity with containerization, CI/CD pipelines, and cloud infra (e.g., Docker, EKS, GitLab CI/CD)
Strong leadership skills with the ability to communicate complex technical details to varied audience
Experience with multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, or AutoGen).
Experience with agent interoperability and communication standards, including MCP and A2A
protocol.