AWS AI Solution Architect C2C jobs Jersey City, NJ || Onsite

Role Name – AWS AI Solution Architect

Location: ONSITE -Jersey City, NJ (No Remote – 4 days in office)

Duration: 6+ Months

Job Title – AWS AI Solution Architect

12+ years of overall experience in Infrastructure and Cloud services
4+ years of experience in designing Cloud native solutions with AI predominantly on AWS
 

Skills

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.
 

Responsibilities

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.
 

Qualification

Bachelor degree of 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.
 

Skills: Digital : Amazon Web Service(AWS) Cloud Computing~Generative AI~Design for GenAI

Experience Required: 10 & Above