Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM

Are you excited about the intersection of real-time voice systems and agentic AI? Do you thrive in ambiguous, fast-moving spaces where you get to define the architecture from scratch and work directly with customers? We are looking for a Specialist Solutions Architect to own the Voice AI domain within the AI Frameworks GTM team at AWS. Voice AI agents - powering contact center automation, medical scribes, real-time translation, and conversational assistants - represent one of the fastest-growing agentic AI workloads. Enterprises are adopting composable voice pipelines (STT → LLM → TTS) that combine open-source frameworks, 3P voice models, and cloud infrastructure to meet stringent real-time requirements. In this role, you will be the go-to technical authority for voice AI on AWS. You'll design end-to-end composable architectures for enterprise customers, integrating best-of-breed voice technologies with AWS services - and demonstrate why AWS is the superior platform for production voice AI at scale. You'll work across customer-facing engagements, 3P solution development, reference architecture creation, and field enablement. Key job responsibilities - Design composable voice AI architectures for enterprise customers — selecting and integrating the right combination of STT, LLM, and TTS models with orchestration frameworks and AWS infrastructure (SageMaker AI, EKS, AgentCore, Fargate) to meet real-time latency, cost, and compliance requirements - Lead customer engagements end-to-end - from initial architecture workshops through production deployment, owning the technical relationship across multi-month cycles and adapting solutions as customer requirements evolve - Win competitive deals by building TCO models, demonstrating cost/performance advantages of composable stacks on AWS vs. managed alternatives and incumbent cloud platforms, and running proof-of-concept deployments - Develop reference architectures and blueprints that codify repeatable patterns and enable the broader field (specialist SAs, account teams) to execute voice AI engagements at scale - Drive 3P solution integration - coordinate technically with voice model providers and orchestration framework companies on joint solution development, marketplace onboarding, and roadmap alignment - Influence product direction by translating customer pain points and competitive gaps into actionable feedback for AWS service teams. A keen sense of ownership, drive, and being scrappy is a must.

The Frameworks team is highly specialized on computational workloads, performance evaluations and optimization. We work with Foundation model builders and large scale training customers, dive deep into the ML stack including the hardware (GPUs, Custom Silicon), operating system (kernel, communication libraries (NCCL, MPI), Frameworks (PyTorch, NeMO, Jax) and models (Llama, Nemotron...). We also work with containers (Docker, Enroot), orchestrators (EKS) and schedulers (Slurm). Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in