AI Engineer-Python-Agentic AI

NTT DATA

Noida, INonsitePosted Jul 6, 2026
Posting intelligenceActively listed

Skills

scikitlearnsalesforcejavascripttensorflowlangchainpytorchpythonopenaiazuregooglecloudnaturallanguageprocessingawsllmml

About the role

Job Summary

We are looking for a forward-thinking AI Automation Expert to revolutionize our operational workflows. This role involves developing, deploying, and managing automated systems that leverage Large Language Models (LLMs), Robotic Process Automation (RPA), and intelligent agent orchestration. The ideal candidate will bridge technical AI capabilities with business process optimization to reduce manual effort and improve decision-making speed.

Key Responsibilities

AI Agent Design Deployment: Build, train, and deploy AI-driven agents and agentic workflows for task automation, reasoning, and orchestration using Claude, OpenAI APIs, or similar platforms.

Workflow Optimization: Identify bottlenecks and automate high-value processes across departments (Salesforce, Finance, Customer service) to enhance productivity.

Integration Development: Integrate AI capabilities (LLMs, Conversational AI, NLP) with existing enterprise systems (CRM, ERP, Cloud Services) using Python, JavaScript, and API integrations.

System Maintenance: Monitor and maintain automated systems, troubleshooting errors to ensure optimal performance, security, and reliability.

Required Skills Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Engineering, or a related field.

Technical Expertise:

Programming: Strong proficiency in Python for scripting, automation, and API interaction.

AI/ML: Hands-on experience with LLM frameworks (LangChain, LangGraph) and ML libraries (TensorFlow, PyTorch, or Scikit-learn).

Automation Platforms: Experience with RPA tools (UiPath, Automation Anywhere) or Workflow Automation tools (Make.com, Zapier).

Cloud Platforms: Familiarity with AWS, Azure AI, or GCP.

Analytical Thinking: Demonstrated capability to design systems that mimic human-like decision-making for complex tasks.

Communication: Excellent teamwork skills to work effectively with cross-functional teams and stakeholders.

Preferred Qualifications

Experience with agentic AI production and MLOps.

Experience with SQL for data transformation.

Knowledge of Data Governance and AI Ethical Guidelines

Why Join Us?

Impact: Directly contribute to the digital transformation of the company.

Innovation: Work at the forefront of the fastest-growing specialization in tech (AI Automation).

Growth: Continuous learning opportunities in LLM orchestration and Agentic AI.

Job Summary

We are looking for a forward-thinking AI Automation Expert to revolutionize our operational workflows. This role involves developing, deploying, and managing automated systems that leverage Large Language Models (LLMs), Robotic Process Automation (RPA), and intelligent agent orchestration. The ideal candidate will bridge technical AI capabilities with business process optimization to reduce manual effort and improve decision-making speed.

Key Responsibilities

AI Agent Design Deployment: Build, train, and deploy AI-driven agents and agentic workflows for task automation, reasoning, and orchestration using Claude, OpenAI APIs, or similar platforms.

Workflow Optimization: Identify bottlenecks and automate high-value processes across departments (Salesforce, Finance, Customer service) to enhance productivity.

Integration Development: Integrate AI capabilities (LLMs, Conversational AI, NLP) with existing enterprise systems (CRM, ERP, Cloud Services) using Python, JavaScript, and API integrations.

System Maintenance: Monitor and maintain automated systems, troubleshooting errors to ensure optimal performance, security, and reliability.

Required Skills Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Engineering, or a related field.

Technical Expertise:

Programming: Strong proficiency in Python for scripting, automation, and API interaction.

AI/ML: Hands-on experience with LLM frameworks (LangChain, LangGraph) and ML libraries (TensorFlow, PyTorch, or Scikit-learn).

Automation Platforms: Experience with RPA tools (UiPath, Automation Anywhere) or Workflow Automation tools (Make.com, Zapier).

Cloud Platforms: Familiarity with AWS, Azure AI, or GCP.

Analytical Thinking: Demonstrated capability to design systems that mimic human-like decision-making for complex tasks.

Communication: Excellent teamwork skills to work effectively with cross-functional teams and stakeholders.

Preferred Qualifications

Experience with agentic AI production and MLOps.

Experience with SQL for data transformation.

Knowledge of Data Governance and AI Ethical Guidelines

Why Join Us?

Impact: Directly contribute to the digital transformation of the company.

Innovation: Work at the forefront of the fastest-growing specialization in tech (AI Automation).

Growth: Continuous learning opportunities in LLM orchestration and Agentic AI.

Job Summary

We are looking for a forward-thinking AI Automation Expert to revolutionize our operational workflows. This role involves developing, deploying, and managing automated systems that leverage Large Language Models (LLMs), Robotic Process Automation (RPA), and intelligent agent orchestration. The ideal candidate will bridge technical AI capabilities with business process optimization to reduce manual effort and improve decision-making speed.

Key Responsibilities

AI Agent Design Deployment: Build, train, and deploy AI-driven agents and agentic workflows for task automation, reasoning, and orchestration using Claude, OpenAI APIs, or similar platforms.

Workflow Optimization: Identify bottlenecks and automate high-value processes across departments (Salesforce, Finance, Customer service) to enhance productivity.

Integration Development: Integrate AI capabilities (LLMs, Conversational AI, NLP) with existing enterprise systems (CRM, ERP, Cloud Services) using Python, JavaScript, and API integrations.

System Maintenance: Monitor and maintain automated systems, troubleshooting errors to ensure optimal performance, security, and reliability.

Required Skills Qualifications

Education: Bachelor’s or Master’s degree in Computer Science, AI, Data Engineering, or a related field.

Technical Expertise:

Programming: Strong proficiency in Python for scripting, automation, and API interaction.

AI/ML: Hands-on experience with LLM frameworks (LangChain, LangGraph) and ML libraries (TensorFlow, PyTorch, or Scikit-learn).

Automation Platforms: Experience with RPA tools (UiPath, Automation Anywhere) or Workflow Automation tools (Make.com, Zapier).

Cloud Platforms: Familiarity with AWS, Azure AI, or GCP.

Analytical Thinking: Demonstrated capability to design systems that mimic human-like decision-making for complex tasks.

Communication: Excellent teamwork skills to work effectively with cross-functional teams and stakeholders.

Preferred Qualifications

Experience with agentic AI production and MLOps.

Experience with SQL for data transformation.

Knowledge of Data Governance and AI Ethical Guidelines

Why Join Us?

Impact: Directly contribute to the digital transformation of the company.

Innovation: Work at the forefront of the fastest-growing specialization in tech (AI Automation).

Growth: Continuous learning opportunities in LLM orchestration and Agentic AI.

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