Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM

Amazon Web Services, Inc.•2h ago

United StatesOnsiteFull-timeSenior Level6+ yrs exp

H-1B verified · 2310 LCAs

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Solutions ArchitectVp DataData Viz Specialist

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
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
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
field enablement. Key job responsibilities - Design composable voice AI architectures for enterprise customers — selecting and integrating the right combination of STT, LLM
TTS models with orchestration frameworks and AWS infrastructure (SageMaker AI, EKS, AgentCore, Fargate) to meet real-time latency, cost
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
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
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
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). 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
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
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 our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
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
consulting in applications and infrastructures experience - 8+ years of IT development or implementation/consulting in the software or Internet industries experience
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) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff
adhere to standards of excellence despite stressful conditions
communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service
and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. 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

Required skills

AWScloud computingsoftware developmentsystems engineeringinfrastructuresecuritynetworkingdata & analyticsLLMVoIPcontact centervoice AIorchestration frameworksDockerEKS