Engineer, Artificial Intelligence

Summary

Join Nagarro, a Digital Product Engineering company, as an AI/ML leader with 16+ years of experience. Lead pre-sales activities, define AI/ML strategies, and develop AI architecture frameworks. Provide delivery oversight for complex AI programs, ensuring high-quality and ethical implementation. Partner with various teams to drive AI success, recruit and manage AI teams, and represent the organization at executive briefings and industry conferences. Ensure adherence to AI ethics and governance standards. Deep expertise in AI/ML, GenAI, NLP, LLMs, and cloud-native ML ecosystems is required.

Requirements

• Total experience 16+ years
• Strong experience in technology, with AI/ML leadership within IT services or consulting
• Deep expertise in AI/ML, Generative AI (GenAI), Natural Language Processing (NLP), Large Language Models (LLMs), and cloud-native ML ecosystems
• Strong pre-sales and solution architecture experience with demonstrable success in closing large AI deals
• Hands-on knowledge of tools such as TensorFlow, PyTorch, Hugging Face, MLflow, and MLOps stacks
• Experience with AI ethics, responsible AI, and model governance
• Certifications in AI/ML from cloud providers (AWS, Azure, GCP) or leading academic institution
• Knowledge of AI regulations and compliance frameworks (e.g., GDPR, NIST AI RMF)
• Exceptional communication, client-facing, and executive stakeholder engagement skill
• Bachelor’s or master’s degree in computer science, Information Technology, or a related field

Responsibilities

• Define and execute AI/ML strategies and offerings across verticals and service lines
• Lead pre-sales activities including RFP responses, client workshops, solution design, and technical presentations
• Develop and institutionalize AI architecture frameworks, accelerators, and reusable assets
• Provide delivery oversight for complex AI programs ensuring high-quality, scalable, and ethical implementation
• Partner with sales, delivery, domain consultants, and product engineering teams to drive AI success
• Recruit, mentor, and manage distributed AI teams, fostering a culture of innovation and continuous learning
• Represent the organization at executive briefings, industry conferences, and webinars to enhance AI visibility
• Ensure adherence to AI ethics, data privacy, and responsible AI governance standards