Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

Tata Consultancy Services Limited

Data & AI Architect

Career Insights for Artificial Intelligence Engineer (General)

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on New York data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.

$133,566 / year median in New York

Explore Career

Job Description

Must Have Technical/Functional Skills Strong expertise in Microsoft Azure AI & Data services: Azure Machine Learning, Azure Synapse, Azure Data Factory, Azure Data Lake, Azure Functions. Hands-on experience with
Databricks:
Spark, Delta Lake, MLflow, notebooks, and job orchestration. Proficiency in Python, SQL, and ML frameworks like TensorFlow, PyTorch, Scikit-learn. Experience with MLOps tools and practices: CI/CD, model versioning, monitoring, and retraining. Deep understanding of data architecture, feature stores, and real-time inference. Familiarity with containerization (Docker, Kubernetes) and API development for model serving. Excellent communication and stakeholder management skills. Azure certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert) are a plus. Roles & Responsibilities Architect end-to-end AI/ML solutions using Azure services (Azure ML, Synapse, Data Lake, etc.) and Databricks. Lead technical design sessions and guide teams on best practices for scalable and secure AI solutions. Collaborate with data scientists, engineers, and business stakeholders to translate business problems into AI solutions. Design and implement MLOps pipelines for model training, deployment, monitoring, and governance. Optimize data pipelines and feature engineering workflows using Spark and Delta Lake on Databricks. Ensure compliance with data privacy, security, and governance standards. Evaluate and integrate emerging AI technologies and frameworks. Provide technical leadership and mentorship to junior architects and engineers.
Salary Range:
$160,000 - $170,000 a year
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 & amp; Training Reimbursement.
Time Off:
Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance:
Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

Benefits

  • Sick Leave
  • 401(k) Plans
  • Bonuses/Stipends
  • Health Insurance