Senior Software Engineer - Generative AI and Automation at NTT DATA, Inc. Indiana

Senior Software Engineer - Generative AI and Intelligent Automation job at NTT DATA, Inc.. Indiana.

Req : 343115

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Senior Software Engineer - Generative AI and Intelligent Automation to join our team in Bangalore, Karnātaka (IN-KA), India (IN).

Process Transformation & Intelligent Automation (PTIA) group is looking for Senior Software Engineer, you will play a key role in designing, developing, and maintaining cutting‑edge solutions that leverage Generative AI, Agentic AI frameworks, and intelligent automation technologies. This role involves working on end‑to‑end application architecture, development, and deployment while collaborating with cross‑functional teams to deliver innovative solutions.

• Lead the design, development, testing, debugging, and implementation of software solutions using Generative AI frameworks.
• Architect and implement intelligent automation solutions, integrating Generative AI and Agentic AI frameworks into business processes.
• Research and evaluate emerging technologies, frameworks, and tools to develop reusable solutions and proof of concepts.
• Collaborate with stakeholders to understand business requirements and translate them into scalable and efficient technical solutions.
• Drive the development of AI‑powered automation workflows and solutions, ensuring alignment with organizational goals.
• Participate in the discovery and analysis of business processes to identify opportunities for automation and optimization.
• Design and build solutions to enhance the capabilities of AI and automation platforms.
• Apply knowledge of statistical analysis, data analytics, and machine learning fundamentals to develop intelligent systems.
• Troubleshoot and resolve issues in AI and automation platforms, ensuring high availability and performance.
• Manage non‑production environments for rapid application development, including platform and tool configuration.
• Implement and maintain CI/CD pipelines for build, deployment, and release management.
• Ensure quality assurance of automation solutions through rigorous testing and code reviews.
• Perform security analysis and participate in security reviews to ensure compliance with organizational standards.
• Participate in disaster recovery and business continuity planning exercises.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in software development, including hands‑on experience.
• Strong understanding of Generative AI concepts, frameworks, and tools (e.g., OpenAI, Lang Chain, Hugging Face).
• Hands‑on experience with Python, Prompt Engineering.
• Experience with Agentic AI frameworks and their application in real‑world scenarios.
• Solid understanding of AI/ML fundamentals, including statistical analysis and data analytics.
• Experience with automation tools and platforms, and AI‑driven workflows.
• CRISPDM, including Agile methodologies.
• Proven track record of delivering projects on time, within budget, and with high quality.
• Excellent problem‑solving and decision‑making skills, with the ability to think creatively and strategically.
• Strong communication and collaboration skills, with the ability to work effectively with technical and non‑technical stakeholders.

• Experience with cloud platforms (e.g., Azure, GCP) and cloud‑native architecture.
• Knowledge of OCR tools and document understanding frameworks.
• Experience with CI/CD tools and MLOps practices.
• Knowledge of security best practices and risk management methodologies.
• Experience in managing non‑production environments, including server management and tool configuration.
• Ability to mentor and lead a team of developers, fostering a culture of innovation and excellence.

• Experience with advanced Generative AI use cases, including fine‑tuning and deploying large language models.
• Knowledge of Agentic AI…