> Markdown version of [/jobs/ext/3674041-aws-ai-solution-architect](https://www.wearedevelopers.com/jobs/ext/3674041-aws-ai-solution-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS AI Solution Architect - **Company:** SFE PARTNERS LLC - **Location:** Jersey City, NJ, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Audit Trail, Cloud Computing, Cloud Computing Security, Cloud Engineering, Cyber Security, Information Systems, Data Security, Identity and Access Management, Python (Programming Language), Key Management, Network Segmentation, Open Web Application Security, Systems Development Life Cycle, Systems Integration, Data Logging, Cloud Platform System, Retrieval-Augmented Generation, Large Language Models, Software Security, Model Validation, Generative AI, Agentic-AI, Cloudformation, Event Driven Architecture, AI Platforms, Information Technology, Invoking Functions, Cloudwatch, Api Gateway, Terraform, Prompt Orchestration, Microservices - **Published:** October 10, 2026 - **Apply:** https://www.careerjet.com/jobad/usb70cac581f1f6110935fd506254bb61e ## About the Role * AWS Certified Solutions Architect Professional or equivalent cloud architecture certification preferred. * Strong understanding of AI agent patterns, prompt orchestration, tool/function calling, RAG pipelines, model evaluation, guardrails, and observability. * Proficiency in Python, APIs, microservices, event-driven architecture, and infrastructure-as-code using Terraform or CloudFormation. * 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. * Ability to define non-functional requirements for security, privacy, performance, resiliency, scalability, auditability, and operational readiness. * Excellent communication skills with ability to present architecture decisions, risks, and trade-offs to senior stakeholders., * Bachelor's degree in Computer Science, Engineering, Information Systems, Cybersecurity, or related field; advanced degree preferred. * 10+ years of technology architecture experience, including 4+ years designing cloud-native solutions on AWS. * Strong experience architecting Gen AI, LLM, RAG, agentic workflow, and AI platform solutions for enterprise-scale programs. * Hands-on exposure to AWS Bedrock, SageMaker, Lambda, Step Functions, API Gateway, ECS/EKS, S3, IAM, CloudWatch, networking, and security constructs. * Strong understanding of application security and cloud security, including secure design, IAM, encryption, network segmentation, API security, secrets management, logging, monitoring, and compliance controls. * Experience designing governed, compliant, auditable platforms for regulated domains; insurance or financial services experience preferred. ## Description * Define the end-to-end AWS solution architecture for AIG's Enterprise AI Agentic Platform aligned to governance, compliance, scalability, security, and auditability needs. * Design reference architectures for AI agents, model integration, RAG, orchestration, workflow automation, API integration, application security, cloud security, and enterprise observability. * Collaborate with enterprise architecture, security, data, cloud platform, application, and business teams to ensure alignment with client standards. * 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. * Drive build-versus-buy evaluations, technology selection, platform design decisions, security trade-off analysis, and architectural risk mitigation. * Establish reusable cloud patterns, secure integration standards, deployment approaches, and non-functional requirements for performance, resiliency, and security. * Review detailed designs and implementation outputs to ensure adherence to approved architecture, security controls, and operational readiness expectations.