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AI Solutions Architect

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Onsite

AI Solutions Architect

Capgemini

AI Solutions Architect

Skills

Google Cloud PlatformPythonMicroservicesAIAWS

2 months ago

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Important information


Contract type:

Permanent

Location:

Navi Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

18 August 2026

What they need


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

Job Description

We are looking for a Solution Architect to design AI-based solutions and guide the technical direction of the AI Lab. The person will understand business and technical requirements, design the overall solution, and work with different teams to build and deploy AI solutions.

Key Responsibilities

  • Design end-to-end AI and software solutions.
  • Understand business and technical requirements.
  • Define the architecture for AI, cloud, software, network, and edge solutions.
  • Select suitable technologies, AI models, and cloud platforms.
  • Design integration between AI models, applications, APIs, databases, networks, and edge devices.
  • Guide development teams on technical implementation.
  • Review technical designs and code.
  • Ensure solutions are scalable, secure, reliable, and easy to maintain.
  • Support Proof of Concepts (PoCs) and new AI initiatives.
  • Work closely with hardware, robotics, network, software, cloud, and DevOps teams.
  • Evaluate new AI technologies and identify where they can be used.
  • Define development and deployment standards for the AI Lab.

.

Primary Skills

  • Strong software architecture and design experience.
  • Strong understanding of AI and Generative AI.
  • Good knowledge of LLMs and AI APIs.
  • Strong understanding of cloud architecture.
  • Knowledge of AWS and Google Cloud.
  • Good understanding of networking and distributed systems.
  • Knowledge of APIs, microservices, databases, and security.
  • Understanding of DevOps and CI/CD.
  • Good knowledge of Python and/or other programming languages.
  • Experience designing end-to-end solutions.
  • Strong communication and problem-solving skills.

AI Skills

Experience or knowledge of:

  • Google AI / Google Cloud AI
  • AWS AI services
  • OpenAI
  • Anthropic
  • Generative AI
  • LLMs
  • RAG and AI Agents

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