Senior AI Tech Lead

Tata Consultancy Services; Jersey City (NJ); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Discretionary Incentive

Medical Coverage

Family Leave

Insurance Options

Commuter Benefits

Training Reimbursement

Vacation & Holidays

Legal & Financial Aid

401K Plan

Performance Bonus

College Fund

Student Loan Refinancing

Salary Range Note

Job summary

Tata Consultancy Services in New Jersey seeks an experienced AI/Platform Engineer to lead the technical delivery of AI agent capabilities and reusable platform components. You will translate architecture into detailed designs and sprint plans while guiding developers on secure, scalable cloud-native implementations.

You will collaborate with architects, product owners and QA to drive end-to-end delivery, establish best practices and support deployment readiness.

Qualifications

• Strong hands-on capability in Python, TypeScript/JavaScript and REST APIs.
• Experience with cloud-native patterns, containers and microservices.
• Deep understanding of prompt engineering, agent orchestration and tool integration.
• Ability to enforce engineering standards, secure coding and observability.
• Leadership, mentoring, estimation, planning and stakeholder communication.
• Familiar with compliance, audit logging, model risk controls and responsible AI.

Responsibilities

• Lead technical delivery of AI agent capabilities and reusable platform components.
• Translate architecture into detailed designs, sprint plans and tasks.
• Guide developers on AI patterns, cloud-native implementation and security.
• Build and review core components: orchestration services, APIs, RAG and connectors.
• Coordinate with architects, product owners, UX designers, security SMEs and QA.
• Establish best practices, coding standards and reusable accelerators.
• Support readiness, deployment planning, defect triage and knowledge transfer.

Skills

Python

TypeScript/JavaScript

REST APIs

Microservices

Event-driven patterns

Containerized deployments

Prompt engineering

Agent orchestration

Tool integration

Vector stores

Embeddings

Model evaluation

AI guardrails

Leadership & mentoring

Planning & stakeholder comms

Compliance & audit logging

Education

Bachelor of Computer Science

Tools

AWS Bedrock

SageMaker

Lambda

Step Functions

ECS/EKS

API Gateway

S3

CloudWatch

CI/CD tooling

Job description

• 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.

Job Description

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.

TCS Employee Benefits Summary

• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
• Salary Range: $120,000 - $140,000 a year

Qualifications

BACHELOR OF COMPUTER SCIENCE