Robots and Pencils
Solutions Architect - AI
US - Remote
Sponsorship not specifiedDetected 29 days ago
PythonReactDistributed SystemsDynamoDBRedshiftAWSTerraformCI/CDDevOpsMachine LearningDeep LearningData EngineeringLLMsRAGAgentic AIMLOpsAI OrchestrationComplianceCustomer SuccessHIPAAResearchLeadershipCommunicationCollaboration
About the role
- You will architect scalable, secure, and production-ready AI platforms leveraging Amazon Bedrock, Amazon Bedrock AgentCore, AWS Strands Agents, AWS AgentCore Gateway, Nova Forge, Nova 2 Sonic, and related AWS AI/ML services.
Responsibilities
- 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.
- Validate feasibility through hands-on prototyping in Python using Bedrock SDKs, SageMaker, and serverless services.
- Own architectural integrity from concept through production deployment on AWS.
- Mentor engineers on AWS AI service integration, distributed systems design, and secure multi-account strategies.
- Partner with internal product, engineering, research, and customer success teams to evolve AWS-based AI offerings.
- Support pre-sales engagements including architecture workshops, AWS migration strategy, and solution scoping.
- Collaborate across distributed teams and client stakeholders across North America.
Requirements
- Required Skills & Qualifications
- 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.
Nice to have
- Experience with advanced agentic reasoning patterns (ReAct,CoT, Tree-of-Thoughts) implemented on Bedrock.
- Exposure to data engineering services such as Glue, Redshift, Lake Formation.
- Consulting or professional services background.
- Personal Competencies
- Adaptability - Rapidly adopts new AWS AI releases and evolving generative AI capabilities.
- Execution-Focused - Balances innovation with production-ready AWS delivery.
- Innovation-Minded - Experiments responsibly with emerging AWS AI services.
- Comfort in Ambiguity - Translates unclear AI requirements into AWS-native solution architectures.
Skills
- Produce AWS reference architectures, architecture decision records (ADRs), and implementation roadmaps aligned to business objectives.
- Ensure architectures follow AWS security best practices (IAM, KMS, VPC, PrivateLink) and cost optimization principles.
Benefits
- Strong familiarity with SageMaker (training, deployment, pipelines), deep learning fundamentals, and model fine-tuning strategies.
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