Job Description - AI Software Lead Architect - Next -Gen Readiness
Job Title: AI Software Lead Architect - Next -Gen Readiness
Location: Plano, TX
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. ________________________________________ 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. ________________________________________
Requirements
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. ________________________________________ 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.
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