Offer summary

Qualifications:

16+ years of experience in technology with a focus on AI/ML leadership., Deep expertise in AI/ML, Generative AI, NLP, and cloud-native ML ecosystems., Strong pre-sales and solution architecture experience with a track record of closing large AI deals., Bachelor’s or master’s degree in computer science, Information Technology, or a related field..

Key responsibilities:

Define and execute AI/ML strategies and offerings across various verticals.

Lead pre-sales activities including RFP responses and technical presentations.

Develop AI architecture frameworks and reusable assets for implementation.

Provide oversight for complex AI programs ensuring quality and ethical standards.

Job description

Company Description

We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital , and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in.

Job Description

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

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.