AI Software Lead Architect

Job Title : AI Software Lead Architect - Next-Gen Readiness

Location : Plano, TX or Bellevue, WA (on-site 5 days / week)

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.

• Technology Strategy & Vision
  • Define and drive the architectural roadmap for next-gen capabilities in the platform.
  • Evaluate and integrate emerging technologies such as Agentic AI, Generative AI, and advanced ML models.
  • Identify innovation opportunities aligned with future network demands (e.g., autonomous networks, edge intelligence, 6G readiness).
• Architecture & Platform Design
  • Architect modular, scalable, and intelligent systems that can evolve with technological advancements.
  • Design AI / ML pipelines, agent-based systems, and data-driven decision-making frameworks.
  • Ensure interoperability, performance, and resilience in distributed environments.
• Innovation & Prototyping
  • Lead rapid prototyping and proof-of-concept initiatives to validate new ideas and technologies.
  • Collaborate with research teams and external partners to stay ahead of the curve.
• Collaboration & Leadership
  • Work closely with product managers, engineering teams, and customer stakeholders to align architecture with business goals.
  • Mentor teams on AI / ML best practices, agent-based design, and platform modernization.
  • Represent the architecture function in strategic planning and technical governance forums.

• 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.

• Experience with LLMs, reinforcement learning, or autonomous agents.
• Hands‑on experience with AI / ML frameworks (e.g., Tensor Flow, PyTorch, Lang Chain).
• Knowledge of network technologies and future trends (e.g., 5G / 6G, edge computing).
• Strong communication and leadership skills with a passion for innovation.