AI Software Lead Architect Gen Readiness
Job in
Plano, Collin County, Texas, 75086, USA
Listed on 2025-12-22
Listing for:
Govserviceshub
Full Time
position Listed on 2025-12-22
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer, Data Scientist, Systems Engineer
Job Description & How to Apply Below
AI Software Lead Architect - Next‑Gen Readiness
Plano, United States | Posted on 12/17/2025
Role OverviewWe 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
- 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.
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.
- 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.
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