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.