AI & ML Ops Manager - Generative AI Strategy and Implementation

S&C Global Network - AI - CMT Engineering - Manager

Job Title - S&C Global Network - AI - CMT –ML Ops - Manager

Management Level: 7- Manager

Location: Open

Must-have skills: AI Architecture/ Gen AI

Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills.

Experience: 8+ years

Educational Qualification:  Btech/ BE

Job Summary:

This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.

Roles & Responsibilities:

Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.

AI Architecture strategy and Assessment:

• Lead the development and assessment of AI architectures, ensuring they align with business goals and objectives.
• Evaluate existing AI solutions, identifying areas for improvement, optimization, and innovation.

Operating Model Design:

• Design robust operating models for Generative AI implementations, considering scalability, efficiency, and business impact.
• Collaborate with cross-functional teams to integrate AI capabilities seamlessly into existing operational workflows.

• Develop comprehensive blueprints for Generative AI solutions, outlining technical specifications, data requirements, and integration points.
• Ensure blueprints adhere to industry best practices and standards.

Roadmap Building:

• Create strategic roadmaps for the implementation and evolution of Generative AI solutions.
• Define milestones, key performance indicators (KPIs), and success criteria to measure the progress of AI initiatives.

Incubating GenAI Solutions:

• Identify emerging trends and technologies in Generative AI and incubate innovative solutions.
• Work closely with research and development teams to experiment and prototype new Generative AI concepts.
• Oversee the end-to-end implementation of Generative AI solutions, collaborating with engineering teams to ensure successful deployment.
• Provide technical leadership and guidance throughout the implementation lifecycle.