S&C Global Network- Ai&Data-FS Eng - Associate Manager

Accenture in India

Bengaluru

On-site

INR 3,000,000 - 5,400,000

Full time

14 days+

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Job summary

S&C Global Network in India seeks an Associate Manager to drive AI strategy, ML Ops initiatives, and GenAI architectures. This role focuses on delivering value-driven AI solutions and working with cross-functional teams to scale capabilities.

The candidate should have 6+ years of experience in AI/ML, and a BE/B.Tech. This position offers strategic leadership with high-impact projects and transformation programs.

Qualifications

  • Degree in engineering (B.Tech/BE) required.
  • 6+ years of experience in AI and ML operations preferred.
  • Experience in AI architecture and GenAI initiatives is desirable.

Responsibilities

  • Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
  • Lead AI architecture development, aligning solutions with business goals and objectives.
  • Design robust operating models for Generative AI implementations and integrate AI capabilities into workflows.
  • Create strategic roadmaps with milestones and KPIs for GenAI initiatives.
  • Incubate GenAI solutions and oversee end-to-end deployment with cross-functional teams.

Skills

AI Architecture
Gen AI

Education

Btech/ BE

Job description

Job Title - S&C Global Network - AI - CMT –ML Ops – Ass Manager
Job Title - S&C Global Network - AI - CMT –ML Ops – Ass Manager
Management Level: 8- Associate 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:

6+ 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.
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