Request ID: 103597-1
Title: Senior AWS AI Tech Lead
Locations: Onsite: Jersey City, NJ
Duration: 6 months
Pay Range: $50 - $55/Hour on W2/C2C (All inclusive)
(No Remote - 4 days in office)
Skills: Python, Generative AI & AI Agents
Experience Required: 10 & Above
Job Description:
-10+ years of software engineering experience with 3+ years in AI/ML, Gen AI, or intelligent automation delivery.
Candidate should be willing to move to client location day 1
LinkedIn URL is mandatory
We are open for other locations candidates who are willing to relocate to NJ but local NJ based candidates will be given priority based on our past experience
Skills
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.
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.
Company Benefits & Culture
- Inclusive and diverse work environment
- Opportunities for professional growth and development
- Comprehensive health and wellness benefits