AI Architect

Tata Consultancy Services

North Chicago (IL)

On-site

USD 120,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Comprehensive Medical Coverage
Discretionary Annual Incentive
401K Plan
Vacation and Sick Leave
Certification & Training Reimbursement

Job summary

A leading IT consulting firm in North Chicago is looking for an AI Solutions Architect who has expertise in LLMs, NLP, and deep learning frameworks. The role requires proficiency in cloud platforms like AWS and Azure, as well as Python for API development. You will be responsible for architecting end-to-end AI solutions and ensuring model reliability while aligning AI initiatives with business goals. A Bachelor’s degree in Computer Science is required, along with strong teamwork and communication skills. The salary range is $120,000 - $140,000 annually, along with comprehensive benefits.

Qualifications

  • Experience with LLMs, NLP, and deep learning frameworks required.
  • Proficient in Python and cloud platforms like AWS and Azure.
  • Bachelor's degree in Computer Science is mandatory.

Responsibilities

  • Architect and design AI solutions including cloud infrastructure.
  • Align AI initiatives with business goals and create value opportunities.
  • Implement ethical AI practices and ensure model reliability.

Skills

Understanding LLMs and NLP
Deep learning frameworks
Cloud platforms (AWS, Azure)
MLOps
Python
Data engineering
Generative AI frameworks
Prototyping techniques
Agile teamwork

Education

BACHELOR OF COMPUTER SCIENCE

Tools

Python API Development

Job description

Overview

Understanding LLMs, NLP, deep learning frameworks, cloud platforms (AWS, Azure), MLOps, Python, and data engineering. Experience with generative AI frameworks (such as LangGraph, Langchain or similar). Prototyping new techniques and exploring novel applications (e.g., intelligent agents, automation). Technical document writing. Translating complex business problems into feasible AI solutions. Worked on AgenticAI and built several AI agents. Aligning AI initiatives with business goals, identifying value opportunities, and creating roadmaps. Architecting end-to-end AI/GenAI solutions, including data pipelines, model integration, cloud infrastructure (Azure, AWS), and API design. Selecting models, optimizing performance, overseeing training, and ensuring reliability, fairness, and scalability. Guiding development, setting up CI/CD pipelines, managing infrastructure, and integrating with existing systems. Implementing security, compliance, monitoring, and ethical AI practices (Responsible AI). Write reusable, testable, and efficient code with Python, R frameworks.

Job Description

Must Have Technical/Functional Skills

  • Understanding LLMs, NLP, deep learning frameworks, cloud platforms (AWS, Azure), MLOps, Python, and data engineering.
  • Experience with generative AI frameworks (such as LangGraph, Langchain or similar)
  • Prototyping new techniques and exploring novel applications (e.g., intelligent agents, automation).
  • Technical document writing
  • Translating complex business problems into feasible AI solutions.
  • Python API development (production-ready)
  • Worked on AgenticAI and built several AI agents.
  • Agile teamwork and communication
Roles & Responsibilities
  • Aligning AI initiatives with business goals, identifying value opportunities, and creating roadmaps
  • Architecting end-to-end AI/GenAI solutions, including data pipelines, model integration, cloud infrastructure (Azure, AWS), and API design.
  • Selecting models, optimizing performance, overseeing training, and ensuring reliability, fairness, and scalability.
  • Guiding development, setting up CI/CD pipelines, managing infrastructure, and integrating with existing systems.
  • Implementing security, compliance, monitoring, and ethical AI practices (Responsible AI).
  • Write reusable, testable, and efficient code with Python, R frameworks
Salary & Benefits

Salary Range: $120,000 - $140,000 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 & 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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