Develop future-ready AI strategies and technical roadmaps aligned with business goals.
Identify and evaluate opportunities for AI to create value, leveraging emerging trends (e.g., neural networks, quantum computing, hybrid models).
Architect solutions incorporating AI/ML (including hybrid models), big data, and integration with IoT and edge computing to support real-time and low-latency business needs.
Solution Design, Integration & Delivery
Lead the architectural design, development, and deployment of reliable, scalable AI/ML systems across Azure, AWS, and hybrid clouds.
Ensure seamless integration of AI with broader enterprise applications, cloud infrastructures, MCP servers, databases, and IoT/edge devices.
Select and integrate appropriate tools, platforms, and industry-standard frameworks (e.g., TensorFlow, PyTorch, Hugging Face, Hadoop, Spark, Kafka).
Expose and secure AI/ML models via REST/gRPC interfaces deployed in microservices architectures; manage API gateways, load balancing, and API security.
Project & Team Leadership
Lead AI project operations scoping, planning, and driving projects to completion on time and budget.
Mentor and develop AI technical teams; facilitate knowledge transfer on best practices, new technologies, and responsible AI use.
Foster a culture of innovation, transparency, collaboration, accountability, and ethical AI.
Champion responsible AI: Promote justice, transparency, and accountability in AI development and deployment.
Job Classification
Industry: Software ProductFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Technical ArchitectEmployement Type: Full time