Provide technical leadership and expertise in AI, which includes Generative AI, ML and Data Science, driving the design, development, and implementation of AI and AI Engineering solutions for clients

Connect across the organization to drive AI adoption in selected vertical, helping to envision new products, solutions, offerings, and other differentiators

Engage with clients during pre-sales cycle to understand their business challenges and effectively solution how AI and Data solutions can address them

Support sales / pre-sales activities by accessing Data opportunities, responding to RFPs, creating proposals and presentations

Collaborate with cross-functional teams to define projects scope, solution, develop datasets

Shape AI solutions and properly scope/price engagements, establishing optimal operating models and project team organization, and leading the transition from the sales process to the delivery phase

Deliver high-quality AI solutions (use-cases, capabilities, platforms) on time and budget

Be AI Champion for client stakeholders, including executive / C-level, helping them drive an enterprise-wide agenda to maximize AI adoption

Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate

Strong hands-on AI expertise. Track record in designing and implementing AI solutions to production. You understand different model architectures, quality metrics, ADLC, production vs. notebook delivery

Experience on AI operations side, track record of production AI delivery. Familiarity with one or more related offering from industry leaders GCP, AWS, Databricks, Azure, Salesforce

Demonstrated leadership experience, driving internal and external multi-dimensional teams to deliver AI products

Demonstrated experience in engaging and influencing senior stakeholders to secure funding or selling ML/AI projects

Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies, and building strong client relationships

Technical proficiency in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow

Excellent problem-solving skills and the ability to analyze complex business requirements and translate them into practical ML/AI solutions

Bachelor's or master's degree in Computer Science, Data Science, or a related field, or relevant work experience