Worldwide Specialist Solutions Architect - GenAI, Data & AI GTM
About the role
The Specialist Solutions Architect will own the Voice AI domain within the AI Frameworks GTM team at AWS. Voice AI agents represent one of the fastest-growing agentic AI workloads, and enterprises are adopting composable voice pipelines combining open-source frameworks, 3P voice models, and cloud infrastructure to meet stringent real-time requirements.
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.
Influence product direction by translating customer pain points and competitive gaps into actionable feedback for AWS service teams.
Requirements
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
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)
Skills
A keen sense of ownership, drive, and being scrappy is a must.
Benefits
Amazon offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.