Job Description

We are seeking a highly experienced Gen AI Solution Leader responsible for shaping, designing, and delivering enterprise-scale Generative AI solutions across business lines. This role blends deep technical expertise in AI/ML with strong business acumen to drive innovation, reusability, and scalable deployments across multiple platforms and industries You will be leading and solutioning cutting-edge AI solutions that drive business value and operational excellence.

Primary Skills

•    18+ years of experience in enterprise architecture, solution delivery with a strong focus on ML and Gen AI technologies.
•    Proven experience in solutioning AI-powered solutions at scale, preferably in client-facing environments.
•    Deep understanding of Gen AI frameworks including frameworks like Lang chain and other LLM based services including OpenAI, cloud platforms (AWS, Azure, GCP), and MLOps practices.
•    Strong understanding of CI/CD, containerization (Docker, Kubernetes), and microservices architecture. Familiarity with Agile and DevOps methodologies.
•    Excellent communication, stakeholder engagement, and team leadership skill.
•    Exposure to industry-specific Gen AI use cases (e.g., SAP, Salesforce, Finance, Supply Chain etc.,)
•    Minimum 8 years of extensive experience in solutioning end to end product/assets by leveraging multiple technology components including AI/ML and Generative AI.
•    Strong problem-solving, strategic thinking and analytical skills, with the ability to synthesize complex information and make data-driven decisions.
•    Proven experience in leading large-scale AI solution deployments and managing cross-functional teams.

Secondary Skills

Key Responsibilities:

•    Lead the development and implementation of enterprise-wide ML and Gen AI architectures, ensuring they are scalable, secure, and aligned with business goal.
•    Lead the end-to-end development & deployment of Gen AI initiatives, from ideation and PoC to deployment and scaling. 
•    Identify opportunities for innovation and lead the creation of reusable Gen AI assets, accelerators, and frameworks.
•    Oversee the seamless deployment of Gen AI models across platforms, ensuring operational efficiency and compliance.
•    Develop and implement strategies for continuous integration and delivery of AI solutions, optimizing for performance and maintainability. 
•    Establish and enforce governance policies, standards, and best practices for AI architecture and deployment, ensuring adherence to data privacy and ethical guidelines.
•    Mentor and lead a technical team and architects fostering a culture of innovation and excellence. 
•    Collaborate with business stakeholders to translate requirements into scalable AI solutions and drive adoption.
•    Act as the central point of coordination among business lines, technology teams, and clients to ensure consistent delivery outcomes.
•    Identify opportunities for innovation within the AI domain, focusing on the development of reusable assets and tools.
Preferred Qualifications:
•    Master’s degree in computer science, Engineering, Data Science, or a related field. Ph.D. is a plus.