at Capgemini
ConsultanciesPosted 16 days ago
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**Solution Architect** at Capgemini Engineering designs and delivers end-to-end, scalable cloud-native AI/ML architectures. You'll lead architecture workshops, PoCs, and create artifacts like HLDs, LLDs, and ADRs. This role requires 12-14 years of experience, expertise in AI/ML solution architecture with Azure OpenAI, AWS SageMaker, or Google Vertex AI, proficiency in Python, SQL, TensorFlow, PyTorch, and Scikit-learn. You should also have a solid background in MLOps, model deployment, feature stores, data engineering pipelines, system design, data architecture, API design, containerization, and cloud-native architectures. This role involves providing technical leadership, mentoring, quality assurance, and supporting pre-sales activities.
- Compensation
- Not specified
- City
- Not specified
- Country
- India
Currency: Not specified
Full Job Description
At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the worlds 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.
Your Role
- Design and deliver end-to-end, scalable cloud-native AI/ML solution architectures aligned to client business requirements.
- Lead architecture workshops, technical deep-dives, and AI/ML proof-of-concept (PoC) implementations.
- Create and maintain architecture artifacts including HLDs, LLDs, data flow diagrams, and architecture decision records (ADRs).
- Provide technical leadership, mentoring, and quality assurance to AI engineering and delivery teams.
- Support pre-sales activities through solutioning, RFP responses, effort estimation, and technology recommendations.
Your Profile
- Total Experience:12-14 Years only.
- Strong AI/ML solution architecture experience with cloud platforms such as Azure OpenAI, AWS SageMaker, or Google Vertex AI.
- Proficiency in Python, SQL, and ML frameworks including TensorFlow, PyTorch, and Scikit-learn.
- Expertise in MLOps, model deployment, MLflow/Kubeflow, feature stores, and data engineering pipelines.
- Solid knowledge of system design, data architecture, API design, containerization (Docker, Kubernetes), and cloud-native architectures.
- Ability to address security, scalability, performance, cost optimization, while providing technical mentoring and stakeholder engagement.
What you'll love about working here
- You can shape your career with us. We offer a range of career paths and internal opportunities within Capgemini group. You will also get personalized career guidance from our leaders.
- You will get comprehensive wellness benefits including health checks, telemedicine, insurance with top-ups, elder care, partner coverage or new parent support via flexible work.
- At Capgemini, you can work on cutting-edge projects in tech and engineering with industry leaders or create solutions to overcome societal and environmental challenges.
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.
