AWS AI Solution Architect
Job Description
Job Description
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Must Have Technical/Functional Skills
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· AWS Certified Solutions Architect Professional or equivalent cloud architecture certification preferred.
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· Strong understanding of AI agent patterns, prompt orchestration, tool/function calling, RAG pipelines, model evaluation, guardrails, and observability.
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· Proficiency in Python, APIs, microservices, event-driven architecture, and infrastructure-as-code using Terraform or CloudFormation.
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· Strong application security and cloud security knowledge, including threat modeling, OWASP/API security, identity and access management, encryption, secure SDLC, logging, monitoring, and resilience patterns.
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· Ability to define non-functional requirements for security, privacy, performance, resiliency, scalability, auditability, and operational readiness.
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· Excellent communication skills with ability to present architecture decisions, risks, and trade-offs to senior stakeholders.
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Roles & Responsibilities
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· Define the end-to-end AWS solution architecture for Client's AI Agentic Platform aligned to governance, compliance, scalability, security, and auditability needs.
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· Design reference architectures for AI agents, model integration, RAG, orchestration, workflow automation, API integration, application security, cloud security, and enterprise observability.
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· Collaborate with enterprise architecture, security, data, cloud platform, application, and business teams to ensure alignment with client standards.
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· Embed application security and cloud security requirements into solution design, including IAM, encryption, network controls, API protection, secrets management, secure data access, logging, and monitoring.
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· Drive build-versus-buy evaluations, technology selection, platform design decisions, security trade-off analysis, and architectural risk mitigation.
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· Establish reusable cloud patterns, secure integration standards, deployment approaches, and non-functional requirements
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for performance, resiliency, and security.
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· Review detailed designs and implementation outputs to ensure adherence to approved architecture, security controls, and operational readiness expectations.
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Generic Managerial Skills, If any
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· Bachelor's degree in Computer Science, Engineering, Information Systems, Cybersecurity, or related field; advanced degree preferred.
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· 10+ years of technology architecture experience, including 4+ years designing cloud-native solutions on AWS.
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· Strong experience architecting Gen AI, LLM, RAG, agentic workflow, and AI platform solutions for enterprise-scale programs.
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· Hands-on exposure to AWS Bedrock, SageMaker, Lambda, Step Functions, API Gateway, ECS/EKS, S3, IAM, CloudWatch, networking, and security constructs.
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· Strong understanding of application security and cloud security, including secure design, IAM, encryption, network segmentation, API security, secrets management, logging, monitoring, and compliance controls.
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· Experience designing governed, compliant, auditable platforms for regulated domains; insurance or financial services experience preferred.
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