Senior AI Engineer

EchoStar Corporation is reimagining connectivity through satellite television, streaming, smart home, and mobile services, supported by technology teams developing next-generation products and platforms. The Senior AI Engineer will build and deploy secure generative AI agents, RAG pipelines, APIs, and MLOps infrastructure on AWS while partnering with technical and business stakeholders to optimize enterprise operations, network performance, and customer experience.

Responsibilities:

• Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session
• Build and deploy autonomous AI agents and securely grounded RAG pipelines using Amazon Bedrock, OpenSearch, and Model Context Protocol (MCP) to execute complex business tasks
• Implement Guardrails for Amazon Bedrock and cloud security protocols to ensure responsible AI usage, data privacy, and prompt injection protection across enterprise applications
• Design and maintain low-latency RESTful APIs and MLOps pipelines on AWS infrastructure to support continuous model training, evaluation, fine-tuning, and real-time inference
• Partner with enterprise engineers, data scientists, and business stakeholders to align AI engineering deliverables with departmental OKRs and operational goals
• Optimize network performance and customer experience by integrating scalable deep learning, NLP, and LLM microservices into existing backend enterprise systems