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AWS AI Senior Tech Lead
Job Location:
Job Location:
Charlotte, NC - USA
Yearly Salary:
USD 130000 - 150000
Yearly Salary:
Posted:
10 October 2026 (20 hours ago)
Posted:
Application Deadline:
7 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Position: AWS AI Senior Tech Lead
Location: Remote (Charlotte NC/Jersey City NJ)
Duration: Full-time
Salary Range: $130000-$150000 /Annum
Job Description
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.
- 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.
- 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
