Senior AI Engineer Agentic AI Platform

Tata Consultancy Services; Chicago (IL); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Discretionary Incentive

Medical Coverage

Dental & Vision

Disability Insurance

Pet Insurance

Parental Leaves

Auto & Home Insurance

Identity Theft Protection

Commuter Benefits

Certification Reimbursement

Training Reimbursement

Vacation & Holidays

Sick Leave

Legal Assistance

401K Plan

Performance Bonus

College Fund

Student Loan Refinancing

Job summary

Tata Consultancy Services is seeking a skilled AI systems engineer in Chicago, IL to design and develop autonomous multi-agent AI workflows and reusable platform capabilities. You will implement memory, RAG, ontology, and graph-based knowledge for agent collaboration while ensuring security, observability, and cost-attribution across enterprise AI workloads.

The role requires hands-on experience with Python, SQL, REST APIs, Azure API Management, and event-driven architecture, with emphasis on

Qualifications

• Bachelor's degree in CS or related field.

Responsibilities

• Design and develop autonomous AI systems and workflows.
• Build reusable platform capabilities with security, auditing, and cost attribution.
• Design orchestration and communication using event-driven architecture and messaging.
• Implement memory, RAG, ontology, graph-based knowledge for agent collaboration.
• Create governance, observability, and optimization frameworks for enterprise AI workloads.

Skills

Python

SQL

REST APIs

Azure API Mgmt

API gateways

Event-driven

AI platform

RAG

Vector databases

Semantic caching

Knowledge graphs

Observability

Monitoring

Logging

FinOps

Security

Governance

Multi-tenant

Education

Bachelor of Computer Science

Tools

AI platforms

Data platforms

Job description

Job Description

Must Have Technical/Functional Skills

• Python, SQL, REST APIs, Azure API Management, API gateways, and event-driven integration.
• Enterprise AI platform architecture covering reusable services, multi-tenancy, governance, security, scalability, and lifecycle management.
• AI memory and knowledge systems using RAG, vector databases, semantic caching, conversation memory, state persistence, graph databases, and knowledge graphs.
• AI operations covering observability, monitoring, logging, model lifecycle, token and API usage analysis, cost optimization, evaluation, hallucination detection, guardrails, and PII protection.

Roles & Responsibilities

• Design and develop production-grade autonomous and semi-autonomous multi-agent AI systems and closed-loop workflows.
• Build reusable enterprise AI platform capabilities with authentication, authorization, rate limits, quotas, audit logging, usage tracking, and cost attribution.
• Design agent orchestration and communication using direct calls, event-driven architecture, message queues, publish-subscribe, choreography, and conductor models.
• Implement memory, RAG, ontology, graph-based knowledge, and knowledge orchestration for agent collaboration.
• Create governance, security, observability, evaluation, reliability, FinOps, dashboards, metrics, and optimization frameworks for enterprise AI workloads.

Salary Range: $110,000 -$120,000 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.

Qualifications:

BACHELOR OF COMPUTER SCIENCE