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.
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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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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.
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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.