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AWS AI Senior Tech Lead

Job in Jacksonville, Duval County, Florida, 32099, USA
Listing for: SFE
Full Time, Seasonal/Temporary position
Listed on 2026-10-28
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), AWS
Salary/Wage Range or Industry Benchmark: 190000 - 270000 USD Yearly USD 190000.00 270000.00 YEAR
Job Description & How to Apply Below

Role: AWS AI Senior Tech Lead

Location:

Remote
Term:
Full Time

Job Description Must Have Technical/Functional Skills
  • AWS Certified Solutions Architect Professional or equivalent cloud architecture certification preferred.
  • Strong hands-on capability in Python, Type Script/JavaScript, REST APIs, microservices, event-driven patterns, and containerized deployments.
  • Experience with AWS Bedrock, Sage Maker, Lambda, Step Functions, ECS/EKS, API Gateway, S3, Cloud Watch, 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 optimization.
  • 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, Informatio n 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, Sage Maker, Lambda, Step Functions, API Gateway, ECS/EKS, S3, IAM, Cloud Watch, 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.
Position Requirements
10+ Years work experience
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