AI ML Architect

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts think outside the box as they provide unique R&D and engineering services across all industries. Join us for a career full of opportunities. Where you can make a difference. Where no two days are the same.

Job Description

AI ML Architect

Location: Bangalore
Experience: 8+ Years

At Capgemini, we empower architects to lead the transformation of enterprise AI. Join us to define and deliver scalable, secure, and future-ready GenAI solutions that drive innovation across industries.

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Your Role

As a AI ML Architect, you will own the end-to-end architecture of enterprise-scale AI systems. You’ll collaborate across domains to design reference architectures, evaluate technologies, and guide implementation of production-grade GenAI solutions.

In this role, you will:

- Define and own the end-to-end architecture for enterprise-scale GenAI/AI solutions
- Design reference architectures, reusable patterns, and best practices for integrating GenAI into business applications
- Collaborate with domain leaders, data scientists, security experts, and developers to align business requirements with scalable AI architectures
- Select and evaluate LLMs, vector databases, and orchestration frameworks based on performance, compliance, and cost trade-offs
- Architect RAG pipelines, agentic workflows, and multi-agent ecosystems for production-grade deployments
- Ensure security, privacy, and governance frameworks are embedded in AI systems from inception
- Drive adoption of cloud-native AI services (Azure OpenAI, AWS Bedrock) and optimize for scalability and performance
- Guide teams in model lifecycle management, including deployment, monitoring, retraining, and drift handling (MLOps)
- Evaluate and recommend tools, frameworks, and protocols (e.g., MCP, LangChain, LangGraph) for robust interoperability
- Stay ahead of GenAI/AI advancements, regulations, and enterprise adoption trends, and translate them into actionable roadmaps

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Your Profile

- Bachelor’s or Master’s degree in Computer Science, Data Science, or related field
- 8+ years of experience in AI/ML architecture and enterprise solution delivery
- Proven expertise in designing scalable GenAI systems and integrating LLMs into business applications
- Strong understanding of RAG pipelines, agentic workflows, and multi-agent orchestration
- Hands-on experience with GenAI frameworks (LangChain, LangGraph, MCP) and vector databases
- Familiarity with cloud-native AI platforms (Azure OpenAI, AWS Bedrock) and MLOps practices
- Deep knowledge of security, privacy, and governance in AI systems
- Excellent collaboration and communication skills across technical and business teams

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What You’ll Love About Working Here

We offer flexible work arrangements, a collaborative culture, and continuous learning opportunities. You’ll be part of a global team driving innovation in GenAI and enterprise AI transformation.

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Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.