Work Arrangement: Onsite – 4 days in office (No Remote)
Relocation Requirement:
Candidate should be willing to relocate and work from the client location from Day 1.
LinkedIn URL is mandatory.
Candidates from other locations who are willing to relocate to NJ are acceptable; however, local NJ candidates will be given priority based on past experience.

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

Experience Required: 10+ Years

Role Description

We are seeking an experienced AWS AI Solution Architect with strong expertise in cloud architecture, Generative AI, and enterprise-scale AI platform design. The candidate will be responsible for defining secure, scalable, and governed AWS architectures for enterprise AI agent platforms.

The ideal candidate should have deep knowledge of AI agent patterns, prompt orchestration, RAG pipelines, model evaluation, security frameworks, and AWS cloud-native services.

Required Skills & Experience

• 12+ years of overall experience in Infrastructure and Cloud Services.
• 4+ years of experience designing cloud-native AI solutions primarily on AWS.
• 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
  • AI observability
• Proficiency in:
  • Python
  • APIs
  • Microservices
  • Event-driven architecture
  • Infrastructure-as-Code using Terraform or CloudFormation
• Strong application security and cloud security knowledge, including:
  • Threat modeling
  • OWASP/API security
  • Identity and Access Management (IAM)
  • Encryption
  • Secure SDLC
  • Logging and monitoring
  • Resilience patterns
• Ability to define non-functional requirements for:
  • Security
  • Privacy
  • Performance
  • Scalability
  • Resiliency
  • Auditability
  • Operational readiness
• Excellent communication skills with the ability to present architecture decisions, risks, and trade-offs to senior stakeholders.

Responsibilities

• Define end-to-end AWS solution architecture for the Client Enterprise AI Agentic Platform aligned with governance, compliance, scalability, security, and auditability requirements.
• Design reference architectures for:
  • AI agents
  • Model integrations
  • RAG solutions
  • Orchestration workflows
  • Workflow automation
  • API integrations
  • Application security
  • Cloud security
  • Enterprise observability
• Collaborate with enterprise architecture, security, data, cloud platform, application, and business teams to ensure alignment with client standards.
• Embed application and cloud security requirements into solution designs, including:
  • IAM
  • Encryption
  • Network controls
  • API protection
  • Secrets management
  • Secure data access
  • Logging and monitoring
• Drive:
  • Build vs. buy evaluations
  • Technology selection
  • Platform design decisions
  • Security trade-off analysis
  • Architectural risk mitigation
• Establish reusable cloud patterns, secure integration standards, deployment approaches, and non-functional requirements.
• Review detailed designs and implementation outputs to ensure adherence to approved architecture, security controls, and operational readiness expectations.

Qualifications

• 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:
  • Generative AI solutions
  • LLM platforms
  • RAG architectures
  • Agentic workflows
  • Enterprise AI platforms
• Hands-on experience with AWS services:
  • AWS Bedrock
  • SageMaker
  • Lambda
  • Step Functions
  • API Gateway
  • ECS/EKS
  • S3
  • IAM
  • CloudWatch
  • Networking and security constructs
• Strong understanding of:
  • Application security
  • Cloud security
  • Secure design principles
  • IAM
  • Encryption
  • Network segmentation
  • API security
  • Secrets management
  • Logging
  • Monitoring
  • Compliance controls
• Experience designing governed, compliant, and auditable platforms for regulated industries.
• Insurance or financial services experience preferred.

Company Benefits & Culture

• Inclusive and diverse work environment
• Opportunities for professional growth and development
• Comprehensive health and wellness benefits