Job Title: Pre-Sales Solutions Architect Experience: 9+ Years Department: Pre-Sales / Solutions & Architecture Job Summary We are looking for a highly capable Pre-Sales Solutions Architect with strong experience in Telecom and Data Networking domains to join our solutioning and customer engagement team. The ideal candidate should bring a solid understanding of telecom architectures, protocols, and analytics, with the ability to bridge customer requirements and modern technologies such as AI/ML and Data Analytics. The role also benefits from a basic understanding of enterprise and web applications, enabling well-rounded solution design across the stack. Key Responsibilities Collaborate with customers and internal teams to define, architect, and propose end-to-end solutions, primarily in the telecom, data networking, and analytics domains. Work closely with the sales team on technical pre-sales engagements, including solution demos, technical discussions, and RFP responses. Translate business and technical needs into high-level solution architectures, integrating AI/ML, analytics, and network elements. Design and validate architectures involving telecom protocols, network functions, and AI-based insights. Provide technical leadership during the pre-sales cycle, engaging with delivery teams and incorporating feedback. Prepare detailed and visually impactful presentations, diagrams, and solution proposals for customer engagements. Estimate solution efforts and collaborate with development teams for feasibility, cost, and timeline planning. Stay current with emerging trends in telecom, 5G, network analytics, AI/ML, and adjacent technologies. Required Skills and Experience 9+ years of experience in solution architecture or pre-sales roles, with significant exposure to telecom, Data and networking environments. Solid understanding of 4G/5G architectures, OSS/BSS systems, network protocols (e.g., SIP, HTTP, DNS, TCP/IP), and interface standards (e.g., REST, NETCONF, SNMP). Exposure to telecom analytics, network monitoring, performance KPIs, and possibly service assurance frameworks. Good knowledge of data networking principles routing, switching, network security, and policy enforcement. Experience in articulating AI/ML-based solutions for real-world problems like anomaly detection, predictive maintenance, etc.Basic knowledge of enterprise application architectures, web services, and cloud-native concepts. Strong ability to create compelling presentations and explain complex architectures to both technical and non-technical audiences. Proficiency in responding to RFPs, estimating solution components, and crafting detailed solution documents. Excellent communication, customer engagement, and stakeholder management skills. Strong analytical thinking and the ability to quickly grasp new technologies and apply them effectively. Nice to Have Advanced knowledge of enterprise application architectures, web services, and cloud-native concepts. Familiarity with RESTful APIs, HTTP, basic database concepts (SQL/NoSQL), and security practices (e.g., auth, encryption). Exposure to AI/ML platforms (e.g., NVIDIA Triton, Hugging Face, TensorFlow, PyTorch). Understanding of deployment pipelines (CI/CD), cloud platforms (AWS/GCP/Azure), and containerized environments (Docker/Kubernetes). Experience with visualization and analytics tools, data pipelines, and integration workflows. What You’ll Bring Depth in Telecom and Networking, with a broad awareness of adjacent technology stacks. A sharp eye for identifying and translating customer needs into well-architected solutions. A passion for staying ahead of technology trends, particularly in the telecom-AI intersection. Excellent communication and interpersonal skills to build trusted technical relationships. A growth mindset and the ability to learn fast, adapt, and experiment with new ideas and tools.
