Nagarro
Distinguished Engineer, Artificial Intelligence
Job Posted 15 Days Ago
Be an Early Applicant
The Distinguished Engineer will define AI/ML strategies, oversee complex AI programs, lead pre-sales activities, and mentor AI teams while ensuring ethical practices.
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 DescriptionREQUIREMENTS:
- 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.
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
Nagarro Chennai, Tamil Nadu, IND Office
AWFIS, 111, Rajiv Gandhi Road, Old Mahabalipuram Road, Kottiwakkam Village, OMR India, Chennai, India, 600041
Similar Jobs
Artificial Intelligence • Edtech • Mobile • Natural Language Processing • Productivity • Software
Lead and scale QuillBot's AI Engineering & MLOps function by overseeing the full ML lifecycle, optimizing performance, and mentoring a team while collaborating cross-functionally.
Top Skills:
AIGCPKubernetesMlMlopsTensorrtVertex Ai
Cloud • Security • Software • Cybersecurity • Automation
The Multinational Tax Analyst will manage India tax compliance, develop tax processes, research tax laws, prepare reports, and collaborate with cross-functional teams.
Top Skills:
AvalaraCoupaExcelGoogle SuiteNetSuiteSalesforceZuora
HR Tech
As the Lead QA Automation Engineer, you'll oversee quality assurance, develop automation strategies, mentor engineers, and collaborate across teams to enhance testing efficiency.
Top Skills:
Ci/CdCypressJavaScriptPlaywrightPostmanTypescript
What you need to know about the Chennai Tech Scene
To locals, it's no secret that South India is leading the charge in big data infrastructure. While the environmental impact of data centers has long been a concern, emerging hubs like Chennai are favored by companies seeking ready access to renewable energy resources, which provide more sustainable and cost-effective solutions. As a result, Chennai, along with neighboring Bengaluru and Hyderabad, is poised for significant growth, with a projected 65 percent increase in data center capacity over the next decade.