Solutions Architect

It's fun to work in a company where people truly BELIEVE in what they are doing - We're committed to bringing passion and customer focus to the business._ Solutions Architect - Edge Computing & IoT Summary: Fractal is one of the most prominent players in the Artificial Intelligence space. Fractal's mission is to power every human decision in the enterprise and brings AI, engineering, and design to help the world's most admired Fortune 500® companies. Fractal has more than 3,000 employees across 16 global locations, including the United States, UK, Ukraine, India, Singapore, and Australia. Fractal has consistently been rated as India's best companies to work for, by The Great Place to Work® Institute, featured as a leader in Customer Analytics Service Providers Wave 2021, Computer Vision Consultancies Wave 2020 & Specialized Insights Service Providers Wave 2020 by Forrester Research, and recognized as an ""Honorable Vendor"" in 2021 Magic Quadrant for data & analytics by Gartner. We are seeking an innovative and driven Solutions Architect to join our growing Edge & IoT team. In this role, you will work closely with clients and internal engineering teams to design and implement effective edge computing and IoT solutions that leverage our expertise in AI/ML and strategic partnerships with Microsoft, Intel, Nvidia, and other industry leaders. You will demonstrate strong technical proficiency, a keen understanding of client requirements, and a commitment to delivering high-quality, innovative solutions. To excel in this role, you should possess a strong technical background in AI/ML and Edge Computing, excellent communication and interpersonal skills, and a demonstrated ability to think critically and creatively, adapting quickly to new challenges. A successful Edge AI Solutions Architect will have a keen understanding of both technology and business requirements and will be able to translate complex ideas into effective, user-friendly solutions that drive client success and satisfaction. If you are ready to contribute to a dynamic and growing organization, we encourage you to apply. Key Responsibilities: As an Edge & IoT Solutions Architect, you will work: - Collaborate with clients to gather requirements, understand business objectives, and translate them into technical specifications for the engineering team. - Design innovative Edge & IoT solutions, incorporating AI/ML components and leveraging cloud platforms such as Azure, AWS, and GCP. - Contribute and lead the development of Edge & IoT accelerators and PoVs. - Design, select, and deploy various IoT hardware components such as sensors, cameras, embedded devices, gateways, and servers, considering factors like power consumption, connectivity, interoperability, and environment constraints. - Develop and present solution architecture and design documents, including diagrams, data flowcharts, and system requirements. - Collaborate with engineering teams to ensure proper implementation of the designed solutions and provide technical guidance throughout the project lifecycle. - Act as a mentor for team members, providing guidance, sharing knowledge, and fostering a collaborative and supportive learning environment within the Edge & IoT team. - Support the account team in the pre-sales process by providing technical assistance and inputs into solution proposals. - Contribute to thought leadership initiatives and actively participate in internal trainings and knowledge-sharing sessions. Technical Skills Required: - Strong knowledge of IoT protocols such as MQTT, CoAP, and AMQP. - Proficiency in edge computing technologies and platforms such as Azure IoT Edge, AWS Greengrass, or Google Edge IoT Core. - Solid understanding of AI/ML algorithms and frameworks, with experience in implementing them in Edge & IoT scenarios. - Experience working with various IoT devices, sensors, and connectivity solutions (e.g., Wi-Fi, Bluetooth, 5G, LoRaWAN, NB-IoT, etc.). - Familiarity with cloud-based IoT platforms like Azure IoT Hub, AWS IoT Core, and Google Cloud IoT. - Proven experience with programming languages such as Python, C#, C/C++, or JavaScript. - Familiarity with containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes, K3S). - Strong knowledge of networking concepts, protocols, and technologies (e.g., TCP/IP, UDP, VLAN, VPN, Ethernet, and wireless communication protocols), and experience in designing and implementing secure, reliable, and scalable network architectures for IoT and edge computing solutions. - Familiarity with different hardware platforms such as Raspberry Pi, Arduino, NVIDIA Jetson, Intel NUC, and others, and the ability to choose the appropriate platform according to the specific requirements, constraints, and performance expectations of the solution. - Expertise with packaging and deploying AI and ML models on edge devices using common AI frameworks such as TensorFlow, PyTorch, or ONNX Runtime, and familia