GenAI Infra Leader — MLOps, AIOps & Observability

Accenture Belgium; Brussel; On-site; EUR 110,000 - 150,000; Full time

Benefits offered by this job

13th month

Holiday allowance

Laptop

Smartphone

Hospitalisation insurance

Flexible benefits

Training opportunities

Green mobility

Bonus program

Employee shares

Eco-cheques

Job summary

Accenture Belgium seeks a Senior Infrastructure AI Specialist to shape AI/GenAI strategy for infrastructure services, design scalable MLOps/GenAIOps platforms on AWS, Azure, and GCP, and guide production pipelines and governance. You will mentor junior specialists and advise clients on AI-driven infra transformations.

The role emphasizes collaboration with cross-functional teams, security and compliance, and delivering AI-enabled infrastructure innovations across complex enterprise environments

Qualifications

• Fluency in English and French and/or Dutch is required.
• Ability to work effectively in an international and multicultural environment.
• Deep expertise in Python, ML frameworks (PyTorch, TensorFlow), and production ML engineering.
• Proven experience designing and operating MLOps / GenAIOps platforms at enterprise scale.
• Mastery of cloud AI/ML services: AWS SageMaker, Azure ML Studio, Google Vertex AI.
• Expert knowledge of LLM architectures, RAG, fine-tuning (LoRA, QLoRA), and inference optimisation.
• Strong background in agentic AI frameworks (LangChain, AutoGen, LlamaIndex, CrewAI).
• Experience with vector databases (Pinecone, Weaviate, Chroma, pgvector) and semantic search.
• Deep understanding of Kubernetes for AI workloads: GPU scheduling, distributed training, and inference serving.
• Strong understanding of enterprise infrastructure operations, managed services, ITIL processes, and operational service delivery models.
• Experience integrating AI solutions with enterprise tools such as ServiceNow, monitoring platforms, ITSM, observability, and automation ecosystems.
• Experience with AI observability, prompt management, model monitoring, evaluation frameworks, and production incident management.
• Strong knowledge of AI security, identity management, data governance, and secure AI deployment practices.
• Experience managing token lifecycle, model consumption optimisation, and AI platform cost governance (TokenOps / AI FinOps).
• Experience with Infrastructure as Code (Terraform, Ansible) and AI platform automation.
• Familiarity with AI evaluation frameworks, guardrails, model routing, and prompt engineering at scale.
• Strong grasp of AI ethics, governance, responsible AI principles, and the implications of the EU AI Act.
• Diplomatically bring the disruption of AI as a transformation enabler for the entire organization with smart communication, inspirational use cases and lead this by example. Demonstrate the AI Architecture mindset in challenges
• Excellent communication and stakeholder engagement skills, including CxO-level presentations.
• Fluency in French (mandatory) and professional-level English (mandatory).

Responsibilities

• Define and drive the AI/GenAI strategy for infrastructure services: AIOps, predictive operations, and intelligent automation.
• Architect and deliver production-grade MLOps and GenAIOps platforms on cloud (AWS, Azure, GCP).
• Design scalable AI pipelines for model training, evaluation, deployment, and lifecycle governance.
• Lead the implementation of GenAI-powered infrastructure use cases: incident prediction, capacity planning, anomaly detection, and self-healing automation.
• Architect RAG systems, LLM fine-tuning pipelines, and agentic AI workflows for infrastructure automation.
• Oversee GPU/TPU compute infrastructure provisioning and optimisation for AI/ML workloads.
• Implement AI governance frameworks: model explainability, bias auditing, and regulatory compliance (EU AI Act).
• Define the MLOps tooling strategy: feature stores, experiment tracking, model registries, and inference serving platforms.
• Define and optimize AI FinOps and TokenOps practices, including model cost control, token consumption management, GPU utilisation, and chargeback/showback mechanisms.
• Ensure AI security, data protection, model security, and secure integration with enterprise infrastructure platforms.
• Collaborate with infrastructure, cloud, network, security, and operations teams to industrialize AI solutions within production environments.
• Act as a technical advisor to client leadership on AI infrastructure integration and emerging AI trends.
• Mentor junior AI specialists and build internal AI capabilities across the infrastructure practice.
• Contribute to business development by shaping AI-enabled infrastructure propositions and use cases.

Job description

Accenture Belgium seeks a Senior Infrastructure AI Specialist to shape AI/GenAI strategy for infrastructure services, design scalable MLOps/GenAIOps platforms on AWS, Azure, and GCP, and guide production pipelines and governance. You will mentor junior specialists and advise clients on AI-driven infra transformations.

The role emphasizes collaboration with cross-functional teams, security and compliance, and delivering AI-enabled infrastructure innovations across complex enterprise environments