Job description

Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can continue to grow, belong, and thrive. Your career here is about believing in yourself and seizing new opportunities and challenges. It’s about expanding your skills and expertise in your current role and preparing yourself for future advancements. That’s why we encourage you to take every opportunity to further your career within our great global team. Your day at NTT DATA We are seeking innovative and skilled AI Engineers to join our GenAI team. You will play a pivotal role in designing, building, and deploying cutting-edge agentic applications. This role spans from Junior to Senior levels, with expectations adjusted based on experience depth. As an AI Engineer (Generative AI & Agent Systems) , you will design and build intelligent agent-based solutions powered by Large Language Models (LLMs) and cutting-edge frameworks. You’ll work on creating scalable AI applications that transform how businesses operate. Key responsibilities: Agentic Application Development: Design and implement autonomous agents and multi agent systems that can reason, plan, and execute complex tasks. Tool & Interface Design: Create robust tools and interfaces that allow agents to interact effectively with external APIs, databases, and software environments. System Architecture: Architect scalable and reliable multi-agent systems, ensuring efficient communication and coordination between agents. Prompt Engineering: Develop, test, and optimize advanced prompts to guide LLM behavior, ensuring high accuracy and reliability in agent outputs. Cloud Deployment: Deploy, monitor, and maintain AI and agentic applications on cloud platforms (Azure/AWS), focusing on scalability, latency, and cost-optimization. Collaboration: Work closely with cross-functional teams to integrate agentic solutions into broader product ecosystems. Innovation: Stay at the forefront of Generative AI research, experimenting with new frameworks and techniques to drive continuous improvement. To thrive in this role, you need to have: Strong proficiency in Python and experience with asynchronous programming. Hands-on expertise in Generative AI & LLMs (RAG, fine-tuning). Familiarity with agent design patterns (ReAct, Chain-of-Thought, planning). Experience with cloud platforms (Azure/AWS/GCP) and containerization. Knowledge of MLOps/LLMOps best practices. Excellent problem-solving and communication skills to work in a global, fast-paced environment. Experience levels: Junior (1–2 yrs): Build agent tasks, write/test prompts, assist with deployments. Mid-Level (3–5 yrs): Design workflows, optimize prompts, mentor juniors. Senior (5 yrs): Architect multi-agent systems, define best practices, lead large-scale deployments. Academic qualifications and certifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related fields Scrum / Project Management certification preferred. Workplace type: Equal Opportunity Employer NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Accelerate your career with us. Apply today

Requirements

Must-haves

Your day at NTT DATA
Agentic Application Development: Design and implement autonomous agents and multi agent systems that can reason, plan, and execute complex tasks.
Tool & Interface Design: Create robust tools and interfaces that allow agents to interact effectively with external APIs, databases, and software environments.
System Architecture: Architect scalable and reliable multi-agent systems, ensuring efficient communication and coordination between agents.
Prompt Engineering: Develop, test, and optimize advanced prompts to guide LLM behavior, ensuring high accuracy and reliability in agent outputs.
Cloud Deployment: Deploy, monitor, and maintain AI and agentic applications on cloud platforms (Azure/AWS), focusing on scalability, latency, and cost-optimization.
Collaboration: Work closely with cross-functional teams to integrate agentic solutions into broader product ecosystems.
Innovation: Stay at the forefront of Generative AI research, experimenting with new frameworks and techniques to drive continuous improvement.
To thrive in this role, you need to have:
Strong proficiency in Python and experience with asynchronous programming.
Hands-on expertise in Generative AI & LLMs (RAG, fine-tuning).
Familiarity with agent design patterns (ReAct, Chain-of-Thought, planning).
Experience with cloud platforms (Azure/AWS/GCP) and containerization.
Knowledge of MLOps/LLMOps best practices.
Excellent problem-solving and communication skills to work in a global, fast-paced environment.
Junior (1–2 yrs): Build agent tasks, write/test prompts, assist with deployments.
Mid-Level (3–5 yrs): Design workflows, optimize prompts, mentor juniors.
Senior (5 yrs): Architect multi-agent systems, define best practices, lead large-scale deployments.
Academic qualifications and certifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related fields

Nice-to-haves

Scrum / Project Management certification preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aillmazureawspythonreactgcpscrum

Platform: workday
Effort: long