AWS AI Senior Tech Lead

Position: AWS AI Senior Tech Lead
Location: Remote (Charlotte NC/Jersey City NJ)
Duration: Full-time
Salary Range: $130000-$150000 /Annum

Job Description

• AWS Certified Solutions Architect Professional or equivalent cloud architecture certification preferred.
• Strong hands-on capability in Python TypeScript/JavaScript REST APIs microservices event-driven patterns and containerized deployments.
• Experience with AWS Bedrock SageMaker Lambda Step Functions ECS/EKS API Gateway S3 CloudWatch and CI/CD tooling.
• Deep understanding of prompt engineering agent orchestration tool integration vector stores embeddings model evaluation and AI guardrails.
• Ability to enforce engineering standards code quality secure coding performance tuning and observability practices.
• Strong leadership mentoring estimation planning and stakeholder communication skills.
• Familiarity with compliance audit logging model risk controls and responsible AI practices
• Strong understanding of AI agent patterns prompt orchestration tool/function calling RAG pipelines model evaluation guardrails and observability.
• 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.

Roles & Responsibilities

• Lead the technical delivery of AI agent capabilities reusable platform components integrations and automation workflows.
• Translate solution architecture into detailed engineering designs sprint plans and implementation tasks.
• Guide developers on AI patterns cloud-native implementation secure coding testability and performance Eligible to workimization.
• Build and review core components such as agent orchestration services API layers RAG services tool connectors and model interaction modules.
• Coordinate with architects product owners UX designers security SMEs and QA teams to drive end-to-end delivery quality.
• Establish technical best practices coding standards review processes and reusable accelerators.
• Support environment readiness deployment planning defect triage production readiness reviews and knowledge transition.
• 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.

Generic Managerial Skills If any

• Bachelors 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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Required Experience:

Staff IC