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# Senior AI Engineer

- **Company:** ECHOSTAR
- **Location:** Herndon, VA, United States
- **Experience:** Expert
- **Salary:** $96,250 - $158,125
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Big Data, Cloud Computing, Cloud Computing Security, Continuous Integration, Monitoring of Systems, Python (Programming Language), Machine Learning, Natural Language Processing, NumPy, Data Processing, Enterprise Software Applications, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Deep Learning, Generative AI, Backend, Agentic-AI, Fastapi, Pandas, Containerization, Real-time Inference, Information Technology, Amazon Bedrock, AutoGen, Machine Learning Operations, Api Design, Restful APIs, Model Context Protocol, Data Pipelines, OpenSearch, Docker, Network Optimization, Microservices
- **Published:** November 12, 2026
- **Apply:** https://www.thejobnetwork.com/job/ab9b7721-4fb1-4c3c-9d94-cae5b51fab08/senior-ai-engineer

## About the Role

* 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, * Familiarity with Amazon NLX and multi-agent frameworks such as LangGraph or AutoGen, * 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

## Description

Job DescriptionWhat 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