Onshore Senior AI Engineer

Tata Consultancy Service Limited10 months ago
Pittsburgh, PA, United States
On-site
Full-time
Junior Level (1-3 years)

Job Description

Required Qualifications

  • 10+ years in AI/ML architecture and solution delivery.
  • Minimum 3+ years in Generative AI with hands-on implementation experience.
  • Deep knowledge and experience in Agentic AI, Microsoft Copilot, and Moveworks.
  • AI/ML frameworks (TensorFlow, PyTorch, Scikit-learn).
  • LLMs, prompt engineering, and fine-tuning models.
  • Cloud platforms (Azure Open AI, AWS Sagemaker, GCP AI).
  • Data engineering and MLOps practices.
  • Strong knowledge of discrete manufacturing processes (e.g., automotive, aerospace, industrial equipment).
  • Excellent communication, problem-solving, and stakeholder management.
  • Must possess ability to obtain US Security Clearance (U.S. Citizen, U.S. Permanent Resident, or Political Asylee/Refugee).

Key Responsibilities

  • Design and implement scalable AI/GenAI solutions, including hands-on architecture, model development, fine-tuning, and deployment.
  • Create end-to-end architecture for AI applications in discrete manufacturing, ensuring performance, security, and compliance.
  • Integrate AI platforms, LLMs, and advanced analytics tools into enterprise systems.
  • Build robust data pipelines, establish governance, and manage model lifecycle.
  • Drive AI adoption for predictive maintenance, digital twins, intelligent automation, and quality optimization.
  • Collaborate with CIO, business stakeholders, and technical teams to align AI strategy with business objectives.
  • Mentor technical teams and provide guidance on AI frameworks and best practices.

Benefits & Perks

  • Compensation: $100,000 - $130,000 per Year
  • 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, Sick Leave, Holidays, and additional Time Off
  • Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing

Required Skills

Generative AI
Fine-tuning models
TensorFlow
AI/ML architecture
Intelligent automation
Agentic AI
Prompt engineering
Stakeholder management
Azure Open AI
Scikit-learn
Quality optimization
Moveworks
MLOps practices
Digital twins
Predictive maintenance
AWS Sagemaker
LLMs
Data engineering
GCP AI
Discrete manufacturing processes
Microsoft Copilot
PyTorch