Senior AI Engineer

Company Summary 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. Department Summary 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. Job Duties and Responsibilities Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session.   Enterprise operations require AI-driven solutions to optimize network performance, elevate customer experience, and streamline workflows. This role addresses the need for scalable ML models, real-time analytics frameworks, and intelligent automation pipelines across enterprise and cloud-native environments. The position bridges strategy and deployment by transforming complex business requirements into robust, secure AI microservices that deliver measurable performance outcomes. What Success Looks Like (Objectives) 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 Skills, Experience and Requirements Core Skills and Competencies (What You'll Bring) Critical experience in building and deploying end-to-end Generative AI applications, RAG frameworks, and agentic workflows in production cloud environments Advanced technical proficiency in Python, asynchronous API development using FastAPI, and data manipulation with Pandas and NumPy Demonstrated mastery of MLOps best practices, including CI/CD automation, containerization with Docker, model monitoring, and cloud orchestration on AWS Strong problem-solving abilities and AI application skills focused on integrating Model Context Protocol (MCP) standards and managing large data processing pipelines Collaborative leadership and clear decision-making skills to translate cross-functional business requirements into secure, compliant technical solutions Additional Qualifications Familiarity with Amazon NLX and multi-agent frameworks such as LangGraph or AutoGen Minimum Requirements Minimum Education: Bachelor’s Degree in Computer Science, Data Science, AI/ML, or an applicable technical degree Minimum Experience: 5+ years of experience in AI/ML engineering, cloud software development, or a related role Required Technical Skills: Must have at least 5 years of experience with: Python, Pandas, NumPy, and API development using FastAPI AWS AI stack including Amazon Bedrock (Knowledge Bases, Guardrails, Agents) and Amazon SageMaker Docker, containerization, CI/CD pipelines, and production MLOps workflows Salary Ranges Compensation: $110,688.00/Year - $137,500.00/Year Benefits We 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