Robots and Pencils

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.

This listing is sourced directly from Robots and Pencils's careers page and normalized into a canonical job model.