Job Title: Senior AI Tech Lead
Location: JERSEY CITY NJ
Employment Type: Full Time
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
Python, TypeScript/JavaScript, REST APIs, microservices, Event-driven patterns, AWS Bedrock, SageMaker, Lambda, Step Functions, ECS/EKS, API Gateway, S3, CloudWatch, prompt engineering, agent orchestration, tool integration, Vector stores, embeddings, model evaluation, and AI guardrails, AI agent capabilities, API layers, RAG services, tool connectors
Experience Required 10+ Years
Must Have Technical/Functional 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 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 & 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 to drive end-to-end delivery.
- Establish technical best practices, coding standards, review processes, and reusable accelerators.
- Support environment readiness, deployment planning, defect triage, production readiness reviews & knowledge transition.
Generic Qualifications
- 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 & 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.