AWS Solutions Architect

We are looking for an experienced AWS Solutions Architect with expertise in Generative AI and Amazon Bedrock to design and deliver modern cloud-native AI solutions for enterprise customers.

In this customer-facing role, you will work closely with business stakeholders, engineering teams, and cloud architects to define solution architectures, lead technical workshops, and implement secure, scalable, and cost-efficient AI applications on AWS. The ideal candidate combines strong AWS architecture experience with hands-on expertise in Bedrock, Retrieval-Augmented Generation (RAG), AI agents, and cloud-native application design.

• Lead customer discovery sessions, technical workshops, and architecture discussions.
  

• Design secure, scalable, resilient, and cost-optimized AWS cloud solutions.
  

• Architect and implement enterprise Generative AI solutions using Amazon Bedrock and foundation models.
  

• Guide customers through cloud modernization, application migration, and AI adoption initiatives.
  

• Prepare High-Level Designs (HLDs), Low-Level Designs (LLDs), architecture diagrams, Statements of Work (SOWs), and technical proposals.
  

• Define best practices for security, scalability, governance, observability, and operational excellence.
  

• Collaborate with DevOps, FinOps, Data Engineering, AI, and Delivery teams to ensure successful project execution.
  

• Act as a trusted technical advisor throughout the customer engagement lifecycle.
  

• Mentor engineering teams on AWS architecture, cloud-native design patterns, and Generative AI implementation.
  

• Stay current with emerging AWS services, AI technologies, and industry best practices.
  

  
  
  
  
  

• 8+ years of experience designing, architecting, and delivering enterprise cloud solutions.
  

• Minimum 2 years of hands-on experience with AWS cloud architecture.
  

• Experience in customer-facing consulting, professional services, or solution architecture roles.
  

• Proven ability to design secure, scalable, highly available, and cost-optimized cloud solutions.
  

• Experience leading technical discussions, architecture reviews, and customer workshops.
  

• Strong expertise in designing and implementing solutions using AWS services, including:
  

• Compute: EC2, Lambda, ECS/Fargate
  

• Networking: VPC, Route 53, API Gateway
  

• Storage & Databases: S3, RDS, DynamoDB
  

• Integration & Orchestration: Step Functions, EventBridge
  

• Security & Identity: IAM, Secrets Manager, KMS
  

• Monitoring & Observability: CloudWatch, AWS X-Ray
  

  
  

• Hands-on experience designing and implementing Generative AI solutions using AWS services.
  

• Experience with:
  

• Amazon Bedrock
  

• Foundation Models (Claude, Llama, Titan, etc.)
  

• Prompt Engineering
  

• Model evaluation and optimization
  

• Amazon Bedrock Knowledge Bases
  

• Guardrails for Amazon Bedrock
  

• Experience building intelligent AI agent solutions, including:
  

• Agentic workflows and autonomous task execution
  

• Tool calling and external API integrations
  

• Memory management and multi-step reasoning
  

• Workflow orchestration using AWS services
  

• Designing scalable, reliable, and low-latency AI applications
  

• Experience with:
  

• Infrastructure as Code (Terraform and/or AWS CloudFormation)
  

• CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps, AWS CodePipeline)
  

• Containerized deployments
  

• Multi-region deployments and release strategies
  

• Strong understanding of:
  

• Cloud monitoring and observability
  

• Performance optimization and troubleshooting
  

• Cost optimization for AWS and Generative AI workloads
  

• Security best practices, IAM policies, encryption, and API key management
  

• Governance, compliance, and data privacy for AI applications
  

• Working knowledge of one or more programming languages:
  

• Python (Preferred)
  

• TypeScript
  

• Java or Node.js
  

• Experience integrating cloud applications with enterprise platforms and APIs.
  

  
  
  

• AWS Certified Solutions Architect – Professional or Associate.
  

• AWS Certified AI Practitioner or Machine Learning Specialty (preferred).
  

• Experience with LangChain, LangGraph, LlamaIndex, CrewAI, or similar AI frameworks.
  

• Experience deploying production-grade Generative AI applications on AWS.
  

• Exposure to MLOps, Kubernetes (EKS), or SageMaker is an advantage.
  

Signs You May Be a Great Fit

• Impact: Play a pivotal role in shaping a rapidly growing venture studio with Cloud-driven digital transformation.
  

• Culture: Thrive in a collaborative, innovative environment that values creativity, ownership, and agility.
  

• Growth: Access professional development opportunities, and mentorship from experienced peers.
  

• Benefits: Competitive salary, wellness packages, and flexible work arrangements that support your lifestyle and goals.