Role Name: Senior AWS AI Tech Lead
Location: Jersey City, NJ
Onsite: 4 days in office
Pay Rate: $54/hr.
Contract duration: 6 Months
ROLE_DESCRIPTION
We are seeking a Senior AWS AI Tech Lead with 10+ years of software engineering experience and 3+ years in AI/ML, Gen AI, or intelligent automation delivery.
The candidate will lead the technical delivery of AI agent capabilities, reusable platform components, integrations, and automation workflows while guiding developers on AI patterns, cloud-native implementation, secure coding, testability, and performance optimization.
SKILLS
- Strong hands-on capability in Python, TypeScript/JavaScript, REST APIs, microservices, event-driven patterns, and containerized deployments.
- Experience with A WS 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.
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.
QUALIFICATION
- Bachelor''s degree in Computer Science, Engineering, Data Science, or related discipline; advanced degree preferred.
- 10+ years of software engineering experience with 3+ years in AI/ML, Gen AI, or intelligent automation delivery.
- Hands-on experience building LLM-based applications, AI agents, RAG pipelines, APIs, and cloud-native services.
- Experience leading engineering teams in agile delivery models for enterprise-scale platforms.
- Strong exposure to AWS cloud services and modern DevSecOps practices.
- insurance or financial services technology delivery experience preferred.
SKILLS: Digital: Python Generative AI, AI Agents