Description

Required Skills:

• 12+ years of experience in Infrastructure, Cloud Architecture, and Enterprise Solution Design.
• 4+ years of experience designing cloud-native AI/ML solutions on AWS.
• AWS Certified Solutions Architect – Professional (or equivalent cloud architecture certification).
• Strong expertise in Generative AI, LLMs, Agentic AI, RAG (Retrieval-Augmented Generation), Prompt Engineering, AI Agent Frameworks, Tool/Function Calling, Model Evaluation, Guardrails, and AI Observability.
• Hands-on experience with AWS services including:
  • Amazon Bedrock
  • Amazon SageMaker
  • AWS Lambda
  • AWS Step Functions
  • API Gateway
  • Amazon ECS/EKS
  • Amazon S3
  • IAM
  • CloudWatch
  • AWS Networking and Security services
• Strong programming experience with Python, REST APIs, Microservices, and Event-Driven Architectures.
• Experience with Infrastructure as Code (Terraform or AWS CloudFormation).
• Strong knowledge of Application Security and Cloud Security, including:
  • Identity & Access Management (IAM)
  • Encryption
  • OWASP/API Security
  • Threat Modeling
  • Secure SDLC
  • Secrets Management
  • Logging & Monitoring
  • Network Security
  • Resiliency and Compliance
• Experience defining non-functional requirements for Security, Privacy, Scalability, Performance, Resilience, Auditability, and Operational Readiness.
• Strong experience designing enterprise-scale, governed, secure, and compliant AI platforms.
• Excellent communication and stakeholder management skills with the ability to present architectural decisions, risks, and trade-offs to executive leadership.

Preferred Skills:

• Experience architecting Enterprise AI Agent Platforms and Agentic Workflow solutions.
• Experience with workflow orchestration, API integrations, enterprise observability, and reusable cloud architecture patterns.
• Experience performing build-vs-buy evaluations, technology selection, and architectural risk assessments.
• Experience reviewing solution designs to ensure compliance with enterprise architecture standards and security controls.
• Experience in Insurance, Financial Services, or other highly regulated industries.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, Cybersecurity, or a related field (Master’s degree preferred)

Key Skills

Education

Bachelor's or Master's degrees