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 12 LLM 12 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. Youll 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. Youll 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.

About the team

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).

BASIC QUALIFICATIONS

- 6+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

- 3+ years of design, implementation, or consulting in applications and infrastructures experience

- 8+ years of IT development or implementation/consulting in the software or Internet industries experience

PREFERRED QUALIFICATIONS

- Experience working with end user or developer communities

- Experience with automatic contact routing, VoIP and any contact center case management tools, or experience in 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)

The base salary range for this position is listed below. 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. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

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