Agentic AI Engineering Manager - Lead Autonomous AI

EchoStar; San Mateo (CA); On-site; USD 153,755 - 208,035; Full time

Benefits offered by this job

Health perks

Flexible spending accounts

HSA

401(k) with company match

ESPP

Flexible time away plan

Job summary

EchoStar seeks a strategic Manager of Agentic AI Engineering to lead multi-agent and generative AI initiatives, driving from POCs to scalable production systems that impact the business. You will build and mentor a high-performing team while partnering with business and engineering leaders to ensure delivery of complex workflows into reliable, production-ready AI solutions.

You will define the AI technical roadmap, guide architectural decisions for scalability and security, and promote modern

Qualifications

• Minimum Education: Bac; Bachelor’s degree in a related technical field.
• 8+ years of experience in software/ML/AI engineering with at least 3 years in people management.
• Experience leading teams that design and ship LLM-powered or distributed AI systems.
• Proven ability to define and execute an AI technical roadmap with enterprise considerations.
• Strong knowledge of modern generative AI architectures and multi-agent orchestration.

Responsibilities

• Recruit, mentor, and lead a highly skilled team of AI engineers and architects.
• Oversee end-to-end delivery of autonomous AI services and multi-agent workflows.
• Partner with leadership to define AI roadmap and align engineering with business goals.
• Provide high-level technical guidance on scalability, security, and hybrid control flows.
• Champion agent interoperability standards and secure tool execution environments.
• Establish agile processes, code quality standards, and CI/CD/observability for LLM apps.

Skills

Team leadership

AI engineering

Cross-functional collaboration

Clear communication

Education

Bachelor's degree in Computer Science, Data Science, AI or related field

Tools

Docker

EKS

GitLab CI/CD

LangGraph

CrewAI

AutoGen

AWS Bedrock

Job description

EchoStar seeks a strategic Manager of Agentic AI Engineering to lead multi-agent and generative AI initiatives, driving from POCs to scalable production systems that impact the business. You will build and mentor a high-performing team while partnering with business and engineering leaders to ensure delivery of complex workflows into reliable, production-ready AI solutions.

You will define the AI technical roadmap, guide architectural decisions for scalability and security, and promote modern