Artificial Intelligence Solution Architect
Capgemini
Artificial Intelligence Solution Architect
Job Description
Artificial Intelligence Solution Architect
📋 Job Overview
The Artificial Intelligence Solution Architect role at Capgemini involves designing and architecting scalable AI/ML solutions aligned with business objectives. Responsibilities include developing advanced models in machine learning, deep learning, NLP, and generative AI, while collaborating with cross-functional teams to build data pipelines and lead technical execution. This position offers opportunities to drive innovation for Fortune 500 clients and advance in a global, collaborative environment.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Corporate Common and Invest
🎯 Key Responsibilities
- Design and architect AI/ML solutions aligned with business goals, ensuring scalability and seamless integration
- Develop advanced models in machine learning, deep learning, NLP, and generative AI using LLMs
- Collaborate across teams to build robust data pipelines and guide technical execution throughout the lifecycle
- Lead technology decisions, promote best practices, and communicate AI/ML strategies to stakeholders effectively
- Lead the architecture and delivery of enterprise-scale AI/ML solutions aligned with business goals and emerging technologies
✅ Required Qualifications
- 12-18 years of experience in designing and delivering AI/ML solutions
- Strong foundation in machine learning, deep learning, NLP, and generative AI
- Proven expertise in architecting scalable AI systems
- Experience collaborating with cross-functional teams
- Aligning technical solutions with strategic business goals
🛠️ Required Skills
- Machine learning
- Deep learning
- NLP
- Generative AI
- LLMs
- TensorFlow
- PyTorch
- GPT
- BERT
- Gemini
- AWS
- GCP
- Azure
- Analytical skills
- Problem-solving skills
- Communication skills
- Technical leadership
- Innovation
- Data pipelines
- Cloud platforms
🎁 Benefits & Perks
- Collaborate with global teams of data scientists, engineers, and stakeholders
- Clear career progression paths from delivery leadership to strategic roles in architecture and consulting
- Be part of mission-critical initiatives that drive efficiency, compliance, and innovation for Fortune 500 clients
- Supported and inspired by a collaborative community of colleagues around the world
- Empowered to shape your career in the way you’d like
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine learningintermediate
- Deep learningintermediate
- NLPintermediate
- Generative AIintermediate
- LLMsintermediate
- TensorFlowintermediate
- PyTorchintermediate
- GPTintermediate
- BERTintermediate
- Geminiintermediate
- AWSintermediate
- GCPintermediate
- Azureintermediate
- Analytical skillsintermediate
- Problem-solving skillsintermediate
- Communication skillsintermediate
- Technical leadershipintermediate
- Innovationintermediate
- Data pipelinesintermediate
- Cloud platformsintermediate
Required Qualifications
- 12-18 years of experience in designing and delivering AI/ML solutions (experience)
- Strong foundation in machine learning, deep learning, NLP, and generative AI (experience)
- Proven expertise in architecting scalable AI systems (experience)
- Experience collaborating with cross-functional teams (experience)
- Aligning technical solutions with strategic business goals (experience)
Responsibilities
- Design and architect AI/ML solutions aligned with business goals, ensuring scalability and seamless integration
- Develop advanced models in machine learning, deep learning, NLP, and generative AI using LLMs
- Collaborate across teams to build robust data pipelines and guide technical execution throughout the lifecycle
- Lead technology decisions, promote best practices, and communicate AI/ML strategies to stakeholders effectively
- Lead the architecture and delivery of enterprise-scale AI/ML solutions aligned with business goals and emerging technologies
Benefits
- general: Collaborate with global teams of data scientists, engineers, and stakeholders
- general: Clear career progression paths from delivery leadership to strategic roles in architecture and consulting
- general: Be part of mission-critical initiatives that drive efficiency, compliance, and innovation for Fortune 500 clients
- general: Supported and inspired by a collaborative community of colleagues around the world
- general: Empowered to shape your career in the way you’d like
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Answer 10 quick questions to check your fit for Artificial Intelligence Solution Architect @ Capgemini.
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Artificial Intelligence Solution Architect
Capgemini
Artificial Intelligence Solution Architect
Job Description
Artificial Intelligence Solution Architect
📋 Job Overview
The Artificial Intelligence Solution Architect role at Capgemini involves designing and architecting scalable AI/ML solutions aligned with business objectives. Responsibilities include developing advanced models in machine learning, deep learning, NLP, and generative AI, while collaborating with cross-functional teams to build data pipelines and lead technical execution. This position offers opportunities to drive innovation for Fortune 500 clients and advance in a global, collaborative environment.
📍 Location: Bangalore
💼 Experience Level: Experienced Professionals
🏢 Business Unit: Corporate Common and Invest
🎯 Key Responsibilities
- Design and architect AI/ML solutions aligned with business goals, ensuring scalability and seamless integration
- Develop advanced models in machine learning, deep learning, NLP, and generative AI using LLMs
- Collaborate across teams to build robust data pipelines and guide technical execution throughout the lifecycle
- Lead technology decisions, promote best practices, and communicate AI/ML strategies to stakeholders effectively
- Lead the architecture and delivery of enterprise-scale AI/ML solutions aligned with business goals and emerging technologies
✅ Required Qualifications
- 12-18 years of experience in designing and delivering AI/ML solutions
- Strong foundation in machine learning, deep learning, NLP, and generative AI
- Proven expertise in architecting scalable AI systems
- Experience collaborating with cross-functional teams
- Aligning technical solutions with strategic business goals
🛠️ Required Skills
- Machine learning
- Deep learning
- NLP
- Generative AI
- LLMs
- TensorFlow
- PyTorch
- GPT
- BERT
- Gemini
- AWS
- GCP
- Azure
- Analytical skills
- Problem-solving skills
- Communication skills
- Technical leadership
- Innovation
- Data pipelines
- Cloud platforms
🎁 Benefits & Perks
- Collaborate with global teams of data scientists, engineers, and stakeholders
- Clear career progression paths from delivery leadership to strategic roles in architecture and consulting
- Be part of mission-critical initiatives that drive efficiency, compliance, and innovation for Fortune 500 clients
- Supported and inspired by a collaborative community of colleagues around the world
- Empowered to shape your career in the way you’d like
Locations
- Bangalore, India
Salary
Estimated Salary Rangemedium confidence
2,500,000 - 4,200,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Machine learningintermediate
- Deep learningintermediate
- NLPintermediate
- Generative AIintermediate
- LLMsintermediate
- TensorFlowintermediate
- PyTorchintermediate
- GPTintermediate
- BERTintermediate
- Geminiintermediate
- AWSintermediate
- GCPintermediate
- Azureintermediate
- Analytical skillsintermediate
- Problem-solving skillsintermediate
- Communication skillsintermediate
- Technical leadershipintermediate
- Innovationintermediate
- Data pipelinesintermediate
- Cloud platformsintermediate
Required Qualifications
- 12-18 years of experience in designing and delivering AI/ML solutions (experience)
- Strong foundation in machine learning, deep learning, NLP, and generative AI (experience)
- Proven expertise in architecting scalable AI systems (experience)
- Experience collaborating with cross-functional teams (experience)
- Aligning technical solutions with strategic business goals (experience)
Responsibilities
- Design and architect AI/ML solutions aligned with business goals, ensuring scalability and seamless integration
- Develop advanced models in machine learning, deep learning, NLP, and generative AI using LLMs
- Collaborate across teams to build robust data pipelines and guide technical execution throughout the lifecycle
- Lead technology decisions, promote best practices, and communicate AI/ML strategies to stakeholders effectively
- Lead the architecture and delivery of enterprise-scale AI/ML solutions aligned with business goals and emerging technologies
Benefits
- general: Collaborate with global teams of data scientists, engineers, and stakeholders
- general: Clear career progression paths from delivery leadership to strategic roles in architecture and consulting
- general: Be part of mission-critical initiatives that drive efficiency, compliance, and innovation for Fortune 500 clients
- general: Supported and inspired by a collaborative community of colleagues around the world
- general: Empowered to shape your career in the way you’d like
Tags & Categories
Answer 10 quick questions to check your fit for Artificial Intelligence Solution Architect @ Capgemini.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs