Specializes in staffing for telecommunications, data centres, technology, and energy & renewables sectors.
Operates globally with a multilingual team, serving clients in over 180 countries.
Provides comprehensive staffing solutions, including permanent and contract hiring, executive search, and workforce planning.
Recognized as a strategic workforce partner for large-scale projects and industry innovations.
Accolades include Best IT/Technology Recruitment Agency and contractor recruitment honors.
About the client
About the client
Information not given or found
Role
Description
architecture design
innovation strategy
modular design
tech integration
ai pipelines
prototyping
Define and execute the architectural vision for next-generation platform capabilities.
Identify opportunities for innovation aligned with future network paradigms (e.g., autonomous networks, edge intelligence, 6G readiness).
Partner with product managers, engineering teams, and stakeholders to align architecture with business objectives.
Design modular, scalable, and intelligent systems that evolve with technological progress.
Collaborate with research teams and external partners to stay ahead of industry trends.
Assess and integrate emerging technologies, including Agentic AI, advanced ML models, and Generative AI.
Develop AI/ML pipelines, agent-based frameworks, and data-driven decision systems.
Lead proof-of-concept and prototyping initiatives to validate emerging ideas.
Mentor teams on AI/ML best practices and platform modernization strategies.
Represent architecture in strategic planning and technical governance forums.
Ensure interoperability, performance, and resilience across distributed environments.
Requirements
ai/ml
llms
tensorflow
agentic ai
cloud-native
leadership
We are seeking an innovative Software Architect to drive the transformation of our Veloce platform by embedding cutting-edge technologies such as Agentic AI, Generative AI, and intelligent automation.
8+ years of experience in software architecture, with emphasis on AI/ML and distributed systems.
Experience with LLMs, reinforcement learning, or autonomous agents.
Hands-on expertise with AI/ML frameworks (e.g., TensorFlow, PyTorch, LangChain).
Strong knowledge of Agentic AI, multi-agent systems, and intelligent orchestration.
Familiarity with cloud-native architectures, microservices, and event-driven systems.
Excellent communication and leadership skills with a passion for innovation.
Proven track record of deploying AI/ML solutions in production environments.
Understanding of network technologies and future trends (e.g., 5G/6G, edge computing).
Bachelor’s or Master’s degree in Computer Science, AI, or related discipline.