AI Software Lead Architect Gen Readiness

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.

• 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).
• 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.
• 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.
• 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 a 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.

Pay Range: $50.00 to $55.00 USD (hourly estimate)

No employer‑sponsored benefits due to contract role.