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

Accenture in India; Gurugram District; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Accenture in India is seeking a Manager-level AI leader to drive S&C Global Network AI initiatives, focusing on ML Ops, AI architecture, and Gen AI strategies. This role requires 8+ years of experience and a BE/BTech background.

You will lead strategic advisory, roadmaps, operating models, and incubate GenAI solutions, collaborating with cross-functional teams to deliver value-driven transformations.

Qualifications

• 8+ years of experience in AI/ML and architecture.
• BE/BTech degree required.

Responsibilities

• Provide strategic advisory services and market research to improve business performance.
• Develop data-driven recommendations and strategic roadmaps for AI initiatives.
• Design robust operating models for Generative AI implementations and ensure scalability.
• Collaborate with cross-functional teams to integrate AI capabilities into workflows.
• Incubate GenAI solutions by identifying trends and prototyping new concepts.

Skills

AI Architecture

Gen AI

Stakeholder management

Education

B.Tech / 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.