Lead Architect Generative AI & Intelligent Systems

  • Plano, TX
  • Posted 15 hours ago | Updated 15 hours ago

Overview

On Site
Depends on Experience
Contract - W2
Contract - 12 Month(s)

Skills

AI
ML

Job Details

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.
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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