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.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Data Platform EngineerEmployement Type: Full time