Accenture
S&C Global Network - AI - CMT Engineering - Manager
Skills
2 months ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
17 August 2026
What they need
Job Title - SC 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.
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 implemention 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.
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