Senior AI Engineer

Enterprise operations require AI-driven solutions to optimize network performance, elevate customer experience, and streamline workflows. This senior role owns the delivery of 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): Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. What Success Looks Like (Objectives): • Own the design, build, and deployment of autonomous AI agents and securely grounded RAG pipelines using Amazon Bedrock, OpenSearch, and Model Context Protocol (MCP) to execute complex business tasks • Make architecture and security decisions for Guardrails for Amazon Bedrock and cloud security protocols; ensure responsible AI usage, data privacy, and prompt injection protection across enterprise applications • Lead the design and maintenance of low-latency RESTful APIs and MLOps pipelines on AWS infrastructure to support continuous model training, evaluation, fine-tuning, and real-time inference • Drive alignment of AI engineering deliverables with departmental OKRs and operational goals by working with enterprise engineers, data scientists, and business stakeholders • Optimize network performance and customer experience by independently integrating scalable deep learning, NLP, and LLM microservices into existing backend enterprise systems Core Skills, Competencies, and Key Experiences (What you’ll bring) Core Skills, Competencies, and Key Experiences (What you'll bring): • Experience building and deploying end-to-end Generative AI applications, RAG frameworks, and agentic workflows in production cloud environments, and can show how you resolved complex technical challenges along the way • 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 • Independent judgment and clear decision-making skills to translate cross-functional business requirements into secure, compliant technical solutions Additional qualifications successful candidates will typically have: • 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: 4+ years of experience in AI/ML engineering, cloud software development, or a related role • Required Technical Skills: Must have at least 4+ 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 #LI-JZ2 Salary Range Compensation: $96,250.00/Year - $158,125.00/Year About Our Department 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. About Our Company 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. Benefits We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary 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. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical