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

Accenture in India; Bengaluru; On-site; INR 400,000 - 750,000; Full time

Job summary

Accenture in India seeks a seasoned AI leader to drive architecture strategy and GenAI initiatives. You will guide operating models, roadmap development, and cross-functional collaboration to deliver value-driven AI solutions.

This role emphasizes strategic advisory, market research, and end-to-end GenAI program oversight, ensuring scalable, impactful deployments across business units.

Qualifications

• 8+ years of experience in AI architecture and GenAI initiatives.
• Ability to lead strategic advisory services and blueprints.
• Strong stakeholder management and transformation experience.

Responsibilities

• Provide strategic advisory services and conduct market research.
• Develop data-driven recommendations to enhance business performance.
• Lead AI architecture strategy, assess existing solutions, and drive innovation.
• Design operating models for GenAI implementations and collaborate across teams.
• Build roadmaps with KPIs and oversee end-to-end GenAI solution delivery.

Skills

AI Architecture

Gen AI

Stakeholder management

Education

Btech/ BE

Job description

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