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AI Agent Engineer

Job in North Chicago, Lake County, Illinois, 60086, USA
Listing for: Tata Consultancy Services
Full Time position
Listed on 2026-02-21
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 150000 - 180000 USD Yearly USD 150000.00 180000.00 YEAR
Job Description & How to Apply Below

Job Description

  • Proven experience with machine learning frameworks (e.g., Tensor Flow, PyTorch).
  • Solid understanding of autonomous agents, decision-making systems, and advanced AI models.
  • Experience with big data tools and cloud computing platforms.
  • Excellent problem-solving, communication, and collaboration skills.
Roles & Responsibilities
  • Design and build AI agents with agentic capabilities, including goal-setting, self-reflection, and context adaptation.
  • Develop and deploy machine learning models that can operate autonomously.
  • Collaborate with cross-functional teams to integrate agentic AI systems into existing products and workflows.
  • Conduct research into advanced AI architectures and agentic approaches.
  • Ensure ethical considerations are addressed in the development and deployment of AI solutions.
  • Evaluate system performance in dynamic and complex environments, recommending improvements.
  • Effective communication to bridge technical and business teams, and the ability to adapt to rapid technological changes.
Generic Managerial Skills (If any)
  • Understanding AI models, prompt engineering, and the capabilities/limitations of agents to set effective constraints.
  • Developing rigorous methods to test and monitor agent performance, safety, and reliability.
  • Designing workflows that blend human oversight with autonomous AI actions.
  • Working with the team to implement the system.
  • Strategic planning to align AI with business goals, robust data management.
  • Excellent communication (written/verbal) and behavioral skills.

Salary Range: $150,000-$180,000 per 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 & Training Reimbursement.
  • Time Off:
    Vacation, Time Off, Sick Leave & Holidays.
  • Legal & Financial Assistance:
    Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Qualifications

Bachelor of Computer Science

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