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Solutions Architect – AI
Gugu RoboticsAWS AI Solutions Architect at Robots and Pencils leading enterprise-scale generative and agentic AI platforms using AWS. Collaborating with strategic clients to drive AI system design and implementation.
Tech Stack
Tools & technologiesAWSCloudDistributed SystemsDynamoDBPythonTerraform
About the role
Key responsibilities & impact- Serve as the primary AWS AI architecture partner for strategic clients, driving generative and agentic AI system design from discovery through production.
- Lead architecture design using Amazon Bedrock (including foundation models and custom models), Bedrock AgentCore, AWS Strands Agents, and AWS AgentCore Gateway.
- Design advanced RAG, Agentic RAG, and multi-agent orchestration architectures leveraging AWS-native services such as Lambda, Step Functions, API Gateway, DynamoDB, Aurora (pgvector), and OpenSearch.
- Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives.
- Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services.
- Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles.
- Own architectural integrity from concept through production deployment on AWS.
- Align solutions with AWS Well-Architected Framework pillars: Operational Excellence, Security, Reliability, Performance Efficiency, Cost Optimization, and Sustainability.
- Guide clients through tradeoff decisions across model selection (Bedrock FMs vs custom SageMaker models), latency, cost, governance, and compliance.
- Continuously evaluate emerging AWS AI capabilities (Nova Forge, Nova 2 Sonic, Bedrock updates, and new AgentCore capabilities).
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
- 7–10+ years of experience in software engineering or cloud architecture with deep AWS ownership.
- Deep expertise in Amazon Bedrock, Bedrock AgentCore, AWS Strands Agents, AgentCore Gateway, and related AWS AI services.
- Strong familiarity with SageMaker (training, deployment, pipelines), deep learning fundamentals, and model fine-tuning strategies.
- Experience architecting RAG, multi-agent, and orchestration systems using AWS-native services.
- Strong knowledge of distributed systems, event-driven architectures, and serverless patterns.
- Proficiency with Infrastructure as Code (AWS CDK, CloudFormation, Terraform).
- Hands-on development capability in Python and AWS SDKs.
- Experience implementing observability and monitoring strategies in AWS environments.
- Proven success leading enterprise-scale AWS transformations.
- Exceptional communication skills for both technical and executive audiences.
- AWS Professional Certifications highly preferred (AWS Solutions Architect – Professional, AWS DevOps Engineer – Professional).
Benefits
Comp & perks- Health insurance
- Professional development opportunities
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AWS AI architectureAmazon BedrockAWS Strands AgentsAWS LambdaAWS Step FunctionsAPI GatewayDynamoDBAuroraPythonInfrastructure as Code
Soft Skills
communication skillsleadershipproblem-solvingcollaborationdecision-making
Certifications
AWS Solutions Architect – ProfessionalAWS DevOps Engineer – Professional