AWS AI Solution Architect

SFE PARTNERS LLC

Jersey City, NJ, United States

9 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Experienced

Experience required

4 years minimum

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

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)

+23 more

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

Job 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.

Requirements

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.

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