Senior Digital Architect

About the role

The Senior Digital Architect will design, implement and maintain cloud‑native digital platforms that enable enterprise‑wide analytics, AI/ML integration and data‑driven decision making. You will work closely with business and technical teams to accelerate digital transformation, ensure robust data governance and foster continuous innovation.

Key responsibilities

• Design scalable, secure, cloud‑native architecture frameworks for AI/ML solutions, including MLOps pipelines and model deployment infrastructure.
• Establish architectural guidelines for generative AI, covering safety, ethics and governance.
• Package AI/ML models as production‑ready APIs, micro‑services or custom applications.
• Define technical standards for model deployment, monitoring, and lifecycle management.
• Evaluate industry‑specific data and AI platforms, Auto‑ML tools, and recommend solutions that deliver business value.
• Partner with stakeholders to translate business requirements into technical designs.
• Assess security risks, provide mitigation strategies, and audit AI tools for continuous improvement.
• Provide strategic guidance on cloud architecture, platform optimization and emerging technologies.

Required profile

• 8+ years in digital solution architecture, with at least 5 years focused on AI/ML, preferably in the Energy sector.
• Proven track record delivering enterprise‑scale AI/ML solutions.
• Strong experience with large language models, generative AI, prompt engineering, RAG and model fine‑tuning.
• Hands‑on experience with real‑time ML systems and edge computing.

Required skills

• TensorFlow
• PyTorch
• Large language models
• Generative AI
• Prompt engineering
• Retrieval‑augmented generation (RAG)
• Model fine‑tuning
• Real‑time ML
• Edge computing
• MLOps
• DataOps
• CI/CD pipelines
• ML model monitoring
• Automation
• DevOps
• Serverless computing
• Docker
• OpenShift
• Kubernetes
• Azure
• Google Cloud Platform (GCP)
• SaaS
• PaaS
• DaaS
• Microservices architecture