What are the responsibilities and job description for the AI Software Lead Architect - Next-Gen Readiness position at Link Consulting Services?
AI Software Lead Architect - Next-Gen ReadinessLocation: Plano, TX or Bellevue, WA (on-site 5 days/week)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 & VisionDefine 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 DesignArchitect 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 & PrototypingLead 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 & LeadershipWork 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.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.Pay Range: $50.00 to $55.00 USD (hourly estimate) No employer sponsored benefits due to contract role
Salary : $50 - $55