Lead and oversee the delivery of AI projects within the practice, ensuring they meet quality standards and are completed on time and within budget.
Develop and implement strategic plans for the AI practice, aligning with overall business objectives.
Mentor and guide AI teams, fostering a culture of innovation, collaboration, and continuous improvement.
Establish and maintain best practices for AI project management, including methodologies, tools, and standards.
Provide technical leadership and guidance in AI technologies, including machine learning, deep learning, natural language processing, and GenAI.
Ensure the technical quality of AI solutions, including architecture, design, and implementation.
Stay updated with the latest advancements in AI technologies and integrate relevant innovations into the practice.
Participate in presales activities, including client presentations, proposal development, and solution demonstrations.
Collaborate with sales and business development teams to identify new opportunities and develop AI solutions that meet client needs.
Build strong relationships with clients, understanding their business challenges and proposing tailored AI solutions.
Develop and present compelling AI use cases and success stories to highlight the value of AI solutions to prospective clients.
Scope, plan, and manage complex AI projects from inception to completion.
Collaborate with cross-functional teams, including data scientists, engineers, and business analysts, to deliver comprehensive AI solutions.
Foster a collaborative environment that encourages knowledge sharing, innovation, and experimentation.
Drive the development of frameworks, capabilities, and features for the AI practice, enhancing the overall quality and impact of AI solutions.
Engage with clients at all levels to understand their AI needs and business objectives.
Provide strategic advice and thought leadership on AI initiatives, helping clients leverage AI to drive business value.
Ensure exceptional client satisfaction by delivering high-quality AI solutions that meet or exceed client expectations while maintaining a utilization of at least 50%.
Requirements & Skills:
10+ years of designing solutions utilizing key data providers and hyperscalers (e.g., Snowflake,Databricks, AWS Sagemaker/Bedrock, GCP AI Platform/Vertex AI, and Azure)
10+ years of hands-on experience working with large-scale data solutions; covering strategy, data preparation, data quality, ETL, data viz.
4+ years of experience with end-to-end AI/ML solutions
3+ years experience with AI frameworks (e.g., PyTorch) and programming (e.g., Python) and building and deploying AI models
Bachelor’s degree or equivalent (minimum 12 years) work experience.
1+ years experience with GenAI; Advanced RAG, Agentic Frameworks, GANNs, Transformers, LLMs (e.g., gpt4, Llama)
Bachelor’s degree or equivalent (minimum 12 years) work experience.
Ability to travel at least 10-25%.
AI/ML certification(s) from any of the MAAG Clouds / renowned 3rd party platforms
Exposure working with LLM Architecture/fine-tuning LLM’s
Knowledge of generative models, GAN’s, and transformer-based models
Knowledge of ethical standards related to AI
Proficiency in programming languages
Domain expertise in one of the following: Healthcare, Financial Services, Manufacturing, and/or Public Sector
