Lead and execute AI/ML assessments to evaluate current-state analytics, automation, and AI maturity across client organizations.
Design and drive AI transformation roadmaps aligned with business objectives, identifying opportunities for predictive analytics, intelligent automation, and Generative AI adoption.
Architect and implement AI/ML solutions leveraging traditional machine learning, NLP, computer vision, and Generative AI technologies.
Build and optimize machine learning pipelines, model training workflows, feature engineering processes, and deployment architectures.
Design and implement Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and enterprise AI frameworks.
Work closely with business stakeholders to gather requirements, define use cases, prioritize opportunities, and establish measurable success criteria.
Lead proof-of-concepts (PoCs), pilots, and production deployments while ensuring scalability, security, and governance compliance.
Develop technical documentation including architecture diagrams, implementation plans, AI solution blueprints, and operational runbooks.
Collaborate with cloud, security, application, and data engineering teams to ensure successful solution delivery.
Stay current with emerging AI technologies, frameworks, and best practices, and provide strategic recommendations to clients.