8–14 years total experience in Digital Engineering, with 5+ years of hands-on AI/GenAI solution experience.
Proven track record of delivering scalable digital applications (microservices, cloud-native, UI/UX-focused).
Strong understanding of LLM architecture, embeddings, prompt design, and API-based AI integration.
Experience in building or deploying AI assistants, Copilot-style productivity tools, or domain-specific GenAI apps; cloud certification or AI specialization (preferred).
Requirements:
Design and deliver scalable AI/GenAI architectures and solutions aligned with business goals.
Lead development of AI-powered assistants, Copilot-style tools, or domain-specific GenAI applications.
Collaborate with cross-functional teams to integrate LLMs, embeddings, prompts, and API-based AI capabilities into cloud-native microservices.
Evaluate and apply cloud AI services and maintain best practices for performance, security, governance, and compliance.
Job description
This is a remote position.
8–14 years total experience in Digital Engineering, with 5+ years of hands-on AI / GenAI solution experience.
Proven track record of delivering scalable digital applications (microservices, cloud-native, UI/UX-focused).
Strong understanding of LLM architecture, embeddings, prompt design, and API-based AI integration.
Experience in building or deploying AI assistants, Copilot-style productivity tools, or domain-specific GenAI apps.
Cloud certification or AI specialization (Azure AI Engineer, TensorFlow Developer, Oracle AI) preferred.
