More jobs:
AWS AI Senior Tech Lead
Job in
Jacksonville, Duval County, Florida, 32099, USA
Listed on 2026-10-28
Listing for:
SFE
Full Time, Seasonal/Temporary
position Listed on 2026-10-28
Job specializations:
-
Software Development
AI Engineer (Applied/Software), AWS
Job Description & How to Apply Below
Role: AWS AI Senior Tech Lead
Location:
Remote
Term:
Full Time
- 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.
- 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.
- 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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