Company Description
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.
Originally posted on Himalayas
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