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Nagarro

Distinguished Engineer, Artificial Intelligence

Reposted 9 Days Ago
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Remote
Hiring Remotely in IN
Expert/Leader
Remote
Hiring Remotely in IN
Expert/Leader
The Distinguished Engineer will define AI/ML strategies, oversee complex AI programs, lead pre-sales activities, and mentor AI teams while ensuring ethical practices.
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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.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Top Skills

AI
AWS
Azure
GCP
Gdpr
Generative Ai
Hugging Face
Large Language Models
Ml
Mlflow
Mlops
Nist Ai Rmf
Nlp
PyTorch
TensorFlow

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