Engineering Manager, AI Products & Cloud
US-CO-Denver
Attract-careers1
Req #: 93876
Type: Fulltime-Regular
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Overview: 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. Responsibilities: Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session. EchoStar is seeking a skilled and visionary Engineering Manager to lead our AI Engineering team. This role requires strong technical leadership, cloud-native engineering expertise, and a focus on operational excellence. You will be responsible for enabling the scalable deployment of AI/GenAI applications in production environments by driving engineering standards, DevOps/MLOps practices, and cross-functional collaboration. Key Responsibilities: * Lead and mentor an Agile team of software engineers, MLOps, and cloud specialists delivering AI, GenAI, and agentic solutions * Champion engineering excellence with secure, reliable, and scalable cloud-native architectures * Establish CI/CD pipelines, infrastructure as code, and automated testing tailored to AI/ML workflows * Partner with data science, product, and platform teams to enable rapid, compliant, and production-grade AI deployments * Drive the technical roadmap, architectural decisions, and incident resolution while fostering a DevOps/MLOps culture of continuous improvement * Stay current with GenAI trends and innovations to enhance system performance, reliability, and team productivity Qualifications: Education and Experience: * Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Data Science or related degree * 5+ years of experience in engineering leadership roles, with a strong background in cloud-native development and operations Skills and Qualifications: * Hands-on experience with at least one major cloud platform (AWS preferred, or Azure, or GCP) and managing containerized systems (Kubernetes, Docker) * Deep expertise in the AI/ML lifecycle and MLOps practices, including deployment, monitoring, and scaling in regulated or mission-critical environments * Experience with GenAI technologies-LLMs, vector search, inference optimization-and related tools (e.g., MLflow, Kubeflow, Vertex AI, SageMaker) * Strong coding proficiency in Python, Java, or Go, with DevSecOps and infrastructure-as-code practices (Terraform, Pulumi) * Experience with Databricks is preferred * Proven ability to lead Agile teams, driving technical delivery and cross-functional collaboration * Excellent communication skills with a track record of translating technical solutions into business impact Visa sponsorship not available for this role
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