Senior Solutions Architect - AI Products
Role details
Job location
Tech stack
Job description
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Design and implement end-to-end AI architectures spanning data pipelines, model development, inference, monitoring, and production integration
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Lead architectural strategy for agentic AI systems, including planning, memory, reasoning, and autonomous decision-making frameworks
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Define modular, reusable, cloud-native and hybrid (AWS/GCP) architectural patterns that enable scalable, resilient, and cost-optimized AI solutions
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Serve as technical architecture leader within the AI Office and Agile squads, aligning architectural decisions with sprint goals and product roadmaps
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Partner with product owners, data scientists, MLOps engineers, and developers to translate business needs into scalable, production-ready AI systems
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Establish AI Ops, governance, and innovation practices-covering MLOps, observability, model lifecycle management, responsible AI, and emerging technology evaluation
Requirements
Candidates must be willing to participate in at least one in-person interview, which may include a live whiteboarding or technical assessment session., + Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 7+ years of experience in solution architecture, prefer hands-on experience with AI/ML systems
Skills and Qualifications:
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Expertise across the AI lifecycle-from data ingestion to deployment-including hands-on experience with agentic and autonomous AI systems (memory, reasoning, goal management)
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Practical experience with MLOps and LLMOps tooling (e.g., MLflow, SageMaker, Vertex AI) and agent orchestration frameworks (e.g., LangChain, AutoGPT, CrewAI, multi-agent systems)
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Strong foundation in Agile software development, collaborating within or leading cross-functional Agile squads
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Proficiency with cloud-native and distributed architectures, including AWS, Azure, or GCP, containerization (Docker/Kubernetes), microservices, and API design
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Solid understanding of enterprise architecture, data governance, privacy regulations (e.g., GDPR, HIPAA), AI ethics, and responsible AI practices
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Excellent communicator who can bridge technical and business teams, with cloud architecture certification(s) as a plus
Benefits & conditions
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.
