Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM

About the role

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, third-party 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.

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 third-party 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.

About the team

The Frameworks team is highly specialized in computational workloads, performance evaluations, and optimization. We work with foundation model builders and large-scale training customers, diving deep into the ML stack, including hardware (GPUs, custom silicon), operating systems (kernel, communication libraries like NCCL and MPI), frameworks (PyTorch, NeMo, Jax), and models (Llama, Nemotron). We also work with containers (Docker, Enroot), orchestrators (EKS), and schedulers (Slurm).

Requirements

• 6+ years of experience in specific technology domain areas (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
• 3+ years of experience in design, implementation, or consulting in applications and infrastructures.
• 8+ years of IT development or implementation/consulting in the software or Internet industries.

Preferred Qualifications

• Experience working with end-user or developer communities.
• Experience with automatic contact routing, VoIP, contact center case management tools, or operations and on-call support for data center facilities, mission-critical plants, or production facilities.
• Experience in developing and deploying LLMs in production on GPUs, Neuron, TPU, or other AI acceleration hardware.
• Experience with voice AI orchestration frameworks (e.g., Pipecat, LiveKit, NVIDIA Riva/NeMo) or voice model providers (STT/TTS).

Benefits

• Comprehensive health insurance (medical, dental, vision, prescription, basic life & AD&D, with options for supplemental life plans).
• Employee Assistance Program (EAP) and mental health support, including a medical advice line.
• Flexible Spending Accounts (FSA) for healthcare and dependent care.
• Adoption and surrogacy reimbursement coverage.
• 401(k) matching.
• Paid time off and parental leave.

Pay

• USA, CA, Mountain View: $176,600.00 - $239,000.00 USD annually.
• USA, GA, Atlanta: $153,600.00 - $207,800.00 USD annually.
• USA, TX, Austin: $153,600.00 - $207,800.00 USD annually.

Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location.