Senior AI Tech Lead (1149695)

Location: Bayonne, NJ

Salary: $160,000.00 USD Annually - $165,000.00 USD Annually

Description Senior AI Tech Lead Jersey City, NJ Fulltime 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

• 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.

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Contact: [email protected]

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