AI Software Lead Architect - Next-Gen Readiness

Role Overview:
We are looking for a visionary Software Lead Architect to spearhead the evolution of the Veloce platform by integrating next-generation technologies such as Agentic AI, AI/ML, and intelligent automation. This role is critical in shaping the platform’s readiness for tomorrow’s networks, ensuring scalability, adaptability, and intelligence at its core.
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Key Responsibilities:
• Technology Strategy & Vision
o Define and drive the architectural roadmap for next-gen capabilities in the platform.
o Evaluate and integrate emerging technologies such as Agentic AI, Generative AI, and advanced ML models.
o Identify innovation opportunities aligned with future network demands (e.g., autonomous networks, edge intelligence, 6G readiness).
• Architecture & Platform Design
o Architect modular, scalable, and intelligent systems that can evolve with technological advancements.
o Design AI/ML pipelines, agent-based systems, and data-driven decision-making frameworks.
o Ensure interoperability, performance, and resilience in distributed environments.
• Innovation & Prototyping
o Lead rapid prototyping and proof-of-concept initiatives to validate new ideas and technologies.
o Collaborate with research teams and external partners to stay ahead of the curve.
• Collaboration & Leadership
o Work closely with product managers, engineering teams, and customer stakeholders to align architecture with business goals.
o Mentor teams on AI/ML best practices, agent-based design, and platform modernization.
o Represent the architecture function in strategic planning and technical governance forums.
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Required Qualifications:
• Bachelor’s or Master’s degree in Computer Science, AI, or related field.
• 8+ years of experience in software architecture, with a strong focus on AI/ML and distributed systems.
• Proven experience designing and deploying AI/ML solutions in production environments.
• Deep understanding of Agentic AI concepts, multi-agent systems, and intelligent orchestration.
• Familiarity with cloud-native architectures, microservices, and event-driven systems.
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Preferred Skills:
• Experience with LLMs, reinforcement learning, or autonomous agents.
• Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, LangChain).
• Knowledge of network technologies and future trends (e.g., 5G/6G, edge computing).
• Strong communication and leadership skills with a passion for innovation.