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

Accenture; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Benefits offered by this job

Opportunity to work on innovative projects

Career growth and leadership exposure

Job summary

Accenture is seeking an Associate Manager for the SC Global Network - AI - CMT ML Ops role. This position involves driving strategic initiatives, managing business transformations, and providing expert solutions in AI architecture.

The ideal candidate has 6+ years of experience, a strong educational background in Btech/BE, and proven skills in AI solutions, business process optimization, and stakeholder management.

This role offers opportunities for career growth and innovative project exposure within a dynamic organization.

Qualifications

• 6+ years of relevant experience in AI and business transformations.
• Proven track record of designing and implementing successful AI solutions in real-world business environments.
• Experience in Telecom or Hi-Tech or software platforms is desirable.

Responsibilities

• Drive strategic initiatives and manage business transformations.
• Lead the development and assessment of AI architectures.
• Design robust operating models for Generative AI implementations.

Skills

AI Architecture

Gen AI

Stakeholder management

Business process optimization

Design thinking

Strong analytical skills

Problem-solving

Communication skills

Education

Btech/ BE

Tools

Python

Pandas

TensorFlow

PyTorch

Keras

AWS

Google Cloud

Microsoft Azure

Job description

Job Title - SC 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.

Developing Blueprints

• 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.

Qualification

Professional Technical Skills:

• Relevant experience in the required domain.
• Strong analytical, problem-solving, and communication skills.
• Ability to work in a fast-paced, dynamic environment.
• Proven track record of designing and implementing successful AI solutions in real-world business environments.
• In-depth knowledge of AI architectures, frameworks, and tools.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities, with experience working cross-functionally.
• Demonstrated leadership in driving AI initiatives from conception to deployment.
• Experience in Telecom or Hi Techor Software and platform industry desirable.
• Tools Techniques:
  • Proficiency in Python programming language and key libraries like Pandas, TensorFlow, PyTorch, and Keras.
  • Understanding and implementation knowledge of deep learning architectures such as CNNs, RNNs, and GANs.
  • Good software engineering practices, including code modularization, documentation, and testing.
  • Familiarity with cloud platforms like AWS, Google Cloud, or Microsoft Azure can be beneficial for deploying and scaling GenAI models.

If you are a visionary AI architect with a passion for innovation and a proven track record of delivering impactful Generative AI solutions, we invite you to apply and contribute to our dynamic and forward-thinking organization.

Additional Information

• Opportunity to work on innovative projects.
• Career growth and leadership exposure.