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Verified Pay check_circle $130,000-$150,000 per year
Hours Full-time, Part-time
Location Charlotte, NC
Charlotte, North Carolina open_in_new

About this job

Job Description

Job Description
Position: AWS AI Senior Tech Lead
Location: Remote (Charlotte, NC/Jersey City, NJ)
Duration: Full-time
Salary Range: $130,000-$150,000 /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
  • 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 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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Posting ID: 1310131838 Posted: 2026-10-29 Job Title: Senior Tech Lead
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Senior Tech Lead