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Senior AI Tech Lead

  • Source: LinkedIn
  • Tata Consultancy Services
  • On-site
  • Jersey City
  • Full-Time
  • Senior

Job Description

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

Skills

  • Python
  • TypeScript
  • microsoft-typescript
  • javascript
  • amazon-web-services
  • bedrock
  • amazon-sagemaker
  • aws-lambda
  • aws-step-functions
  • amazon-ecs
  • amazon-eks
  • amazon-api-gateway
  • amazon-s3
  • amazon-cloudwatch
  • guardrails

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