Senior Solutions Architect - AI Products
US-CO-Denver
Attract-careers1
Req #: 93903
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. Key Responsibilities: * Design and implement end-to-end AI architectures spanning data pipelines, model development, inference, monitoring, and production integration * Lead architectural strategy for agentic AI systems, including planning, memory, reasoning, and autonomous decision-making frameworks * Define modular, reusable, cloud-native and hybrid (AWS/GCP) architectural patterns that enable scalable, resilient, and cost-optimized AI solutions * Serve as technical architecture leader within the AI Office and Agile squads, aligning architectural decisions with sprint goals and product roadmaps * Partner with product owners, data scientists, MLOps engineers, and developers to translate business needs into scalable, production-ready AI systems * Establish AI Ops, governance, and innovation practices-covering MLOps, observability, model lifecycle management, responsible AI, and emerging technology evaluation Qualifications: Education and Experience: * 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: * Expertise across the AI lifecycle-from data ingestion to deployment-including hands-on experience with agentic and autonomous AI systems (memory, reasoning, goal management) * 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) * Strong foundation in Agile software development, collaborating within or leading cross-functional Agile squads * Proficiency with cloud-native and distributed architectures, including AWS, Azure, or GCP, containerization (Docker/Kubernetes), microservices, and API design * Solid understanding of enterprise architecture, data governance, privacy regulations (e.g., GDPR, HIPAA), AI ethics, and responsible AI practices * Excellent communicator who can bridge technical and business teams, with cloud architecture certification(s) as a plus Visa sponsorship not available for this role #LI-CH2
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