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Gruve · 7 hours ago

AWS Solutions Architect – Data & AI

Redwood City, CA

Full-time

Onsite

Senior Level, Lead/Staff

$170K/yr - $220K/yr

8+ years exp

Gruve is an innovative software services startup dedicated to transforming enterprises to AI powerhouses. They are seeking an AWS Solutions Architect – Data & AI to help enterprises move Data & AI workloads from pilot to production by designing, validating, and deploying secure and scalable AI solutions on AWS.

Artificial Intelligence (AI)SoftwareMachine Learning

H1B Sponsor Likely

Responsibilities

Own the technical success of customer workloads from discovery through early production

Lead architecture discussions covering business objectives, current-state constraints, and target-state AWS architectures

Apply the AWS Well-Architected Framework to all designs

Architect solutions using AI/ML services including Amazon Bedrock, AgentCore, Knowledge Bases, SageMaker, Strands, and related AI/ML platforms

Demonstrate understanding and ability to technically deep dive into:

Prompt management

Agent tool development

Agent memory management

Error handling

Security and authentication

Monitoring, visibility, and auditing

MCP, A2A, and other widely used agent protocols

Hands-on experience with agent building and testing

Strong understanding of foundation models including transformers, attention layers, multi-modality, embedding models, and Retrieval-Augmented Generation (RAG) systems

Design with AWS Data services such as S3, Redshift, DynamoDB, and RDS

Ensure secure handling of data services including VPC configuration, network routing, and role/permission management (IAM)

Make architectural decisions balancing speed, cost, security, and operability

Experience with Snowflake is a plus

Work closely with AWS Account SAs, Partner SAs, and Data & AI Specialists

Support co-sell motions through joint customer meetings, architecture validation, and proof-of-value engagements

Ensure architectures are implementable, secure, observable, and production-ready

Stay engaged through early production phases to ensure workload success

Contribute to reusable AWS reference architectures and delivery patterns

Enable sales and BD teams with technically sound solution narratives

Qualification

AWS Solutions ArchitectureAI/ML ServicesData ServicesAWS CertificationsEnterprise Security KnowledgeCustomer-facing LeadershipCollaborationContinuous Learning

Required

8+ years of experience in solutions architecture or technical consulting

Deep hands-on AWS experience

Strong background in Data, Analytics, and AI/ML workloads

Customer-facing architecture leadership experience

Own the technical success of customer workloads from discovery through early production

Lead architecture discussions covering business objectives, current-state constraints, and target-state AWS architectures

Apply the AWS Well-Architected Framework to all designs

Architect solutions using AI/ML services including Amazon Bedrock, AgentCore, Knowledge Bases, SageMaker, Strands, and related AI/ML platforms

Demonstrate understanding and ability to technically deep dive into: Prompt management, Agent tool development, Agent memory management, Error handling, Security and authentication, Monitoring, visibility, and auditing, MCP, A2A, and other widely used agent protocols