Senior AI DevOps 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.
As a Senior Software Engineer with an AI focus, you will bridge the gap between experimental machine learning and production-grade software. You won't just be "using" APIs; you will be architecting the systems that orchestrate Large Language Models (LLMs), managing vector data, and building "agentic" workflows that solve real-world business problems. We are looking for a Sr. AI Engineer to architect and champion our "Self-Healing" infrastructure. This role is pivotal in moving our operations beyond traditional threshold-based monitoring and into the era of Observability and Predictive Intelligence
This role also involves providing enterprise-level assistance to our customers and monitoring applications deployed in AWS cloud environments. You will diagnose and troubleshoot issues related to order provisioning and device & SIM activations, utilizing email and chat applications to provide quick answers and resolution for clients' IT issues.
Key Responsibilities:

• AI Orchestration & Integration: Design and implement complex AI workflows using frameworks like LangChain, LlamaIndex, or Haystack
• Production-Grade Development: Write clean, maintainable, and efficient code in Python or Java to support high-traffic applications
• RAG Architecture: Build and optimize Retrieval-Augmented Generation (RAG) pipelines, ensuring high-quality data retrieval from vector databases (Milvus)
• Model Fine-Tuning & Evaluation: Lead the process of fine-tuning open-source models (Llama 3, Mistral) and establishing rigorous evaluation frameworks to measure model accuracy and "hallucination" rates
• System Architecture: Design microservices that handle asynchronous AI processing, caching strategies for LLM responses, and cost-optimization for API tokens
• Mentorship & Leadership: Conduct code reviews, define AI engineering best practices, and mentor junior engineers in the transition to AI-native development
• Intelligent Observability: Design and maintain full-stack observability using Dynatrace and AWS CloudWatch, focusing on the "Boost Mobile" order journey
• Autonomous Remediation: Develop and deploy "Runbooks-as-Code" using Python and Ansible to automate the resolution of recurring Tier-1 and Tier-2 incidents

Skills, Experience and Requirements
Education and Experience:

• Bachelor's Degree in Computer Science, Information Technology or relevant field or 5+ years software engineering experience
• Contributions to open-source AI projects or a portfolio of "Agentic" AI applications
• Certifications in Cloud AI (e.g., AWS Certified Machine Learning - Specialty)
• 5+ years of professional experience in backend or full-stack software development; expert proficiency in Python (the industry standard for AI)
• Deep understanding of Transformer architectures, prompt engineering, and the current LLM landscape (OpenAI, Gemini, and Open Source). Experience in AI powered development using tools like Kiro

Skills and Qualifications:

• Experience managing Vector Databases and designing ETL pipelines for unstructured data (PDFs, Logs, Documentation)
• Mastery of RESTful and GraphQL API design to expose AI capabilities to frontend applications or third-party services
• Familiarity with AI-specific monitoring tools (Weights & Biases, Arize, or LangSmith) to track model performance in production
• Proficiency in Dynatrace(Grail, Davis AI) or similar
• Hands-on experience with modern AWS services (Serverless, Kubernetes, EC2)
• High proficiency in Python or Java for API orchestration and custom tool development. Hands-on experience with Bash scripting
• Understanding of vector databases, LLM integration (RAG), and basic data science concepts for tuning anomaly detection models
• Strong ability to diagnose, troubleshoot, and resolve technical issues across computer systems and other technology products
• Excellent problem-solving skills with the ability to provide clear, step-by-step technical guidance both verbally and in writing
• Solid understanding of cloud infrastructure, particularly AWS, and container orchestration using Kubernetes
• Demonstrated fearlessness and curiosity to learn new technologies and tackle complex technical challenges
• Background in software development, with knowledge of modern programming languages, design principles, and coding best practices
• Proficiency in reading, writing, and debugging code across multiple programming languages to support troubleshooting and automation efforts

Visa sponsorship not available for this role
Salary Ranges
Compensation: $96,250.00/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 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 based on work location.
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.
The posting will be active for a minimum of 3 days. The active posting 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 or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make echostar.com and jobs.echostar.com accessible to users. Please contact [email protected] if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications.
Click the links to access the following statements: EEO Policy Statement , Pay Transparency , EEOC Know Your Rights ( English / Spanish )