SME/ Technical Architect- Edge AI

Choosing Capgemini means choosing a place where you'll be empowered to shape your career, supported by a collaborative global community, and inspired to reimagine what's possible. Join us in helping clients accelerate innovation through Edge AI, Embedded AI, and Intelligent Systems by bringing advanced machine learning capabilities to next-generation connected products and devices.

Your Role

As an Edge AI Solution Architect, you will lead the design, development, and deployment of AI/ML solutions on embedded and edge computing platforms. You will work closely with customers, product teams, and engineering organizations to architect scalable Edge AI solutions that leverage hardware accelerators while maximizing performance, power efficiency, and deployment scalability.

In this role, you will:

• Lead the architecture and implementation of Edge AI and Embedded AI solutions across a wide range of intelligent products and devices.
• Define end-to-end AI deployment strategies for embedded and edge computing environments.
• Architect AI/ML solutions on leading embedded platforms including NVIDIA Jetson, NXP i.MX, Qualcomm, and similar edge computing ecosystems.
• Collaborate with data scientists, software architects, and embedded engineering teams to transition AI models from development to production.
• Optimize machine learning and deep learning models for deployment on resource-constrained edge devices.
• Leverage hardware acceleration technologies including GPU, NPU, DSP, and AI accelerators to maximize inference performance and efficiency.
• Define and implement scalable Edge AI deployment pipelines, monitoring frameworks, and lifecycle management processes.
• Contribute to technical solutioning, effort estimation, proposal development, and customer presentations.
• Engage directly with customers to define technical strategies, present solution architectures, and defend proposed solutions during pursuits and pre-sales engagements.
• Mentor engineering teams on AI optimization techniques, deployment best practices, and emerging Edge AI technologies.

Your Profile

• 14+ years of experience in Embedded Systems, AI/ML Engineering, or Product Engineering.
• Proven expertise in AI and Edge AI model development, optimization, and deployment.
• Strong experience with embedded AI platforms such as NVIDIA Jetson, NXP i.MX, Qualcomm AI platforms, or equivalent ecosystems.
• Deep understanding of machine learning, deep learning, computer vision, and edge inference technologies.
• Hands-on experience optimizing AI models for constrained embedded devices and microcontroller-based systems.
• Strong knowledge of model compression, quantization, pruning, and acceleration techniques.
• Experience leveraging hardware accelerators such as GPU, NPU, DSP, TPU, and dedicated AI processing engines.
• Familiarity with AI frameworks including TensorFlow, PyTorch, ONNX, TensorRT, TFLite, or similar technologies.
• Experience with Edge AI deployment pipelines, MLOps practices, CI/CD integration, and model lifecycle management.
• Strong communication and stakeholder management skills with the ability to interact confidently with customers and business leaders.
• Bachelor's or Master's degree in Computer Science, Electronics, Artificial Intelligence, Data Science, or a related engineering discipline.

Preferred Skills

• Experience in computer vision, video analytics, industrial AI, smart devices, automotive, healthcare, or IoT domains.
• Knowledge of embedded Linux environments and edge computing architectures.
• Familiarity with cloud-to-edge integration models and hybrid AI deployment frameworks.
• Understanding of security, scalability, and performance optimization in Edge AI ecosystems.

What You'll Love About Working Here

We value flexibility and support our employees with remote work options and adaptable schedules to maintain a healthy work-life balance.

Our inclusive culture brings together diverse professionals committed to growth, innovation, and excellence.

You'll have access to continuous learning opportunities and certifications in AI, Edge Computing, Embedded Systems, Cloud, and Digital Engineering.

About Us

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 AI-powered intelligent devices to autonomous systems and connected products, our engineering experts provide cutting-edge R&D and engineering services across industries. Join us for a career full of opportunities where you can make a difference and help shape the future of Edge AI innovation.