# Senior Infrastructure AI Specialist

Hiring organization: [Accenture](https://career.thegoodapps.co/organizations/accenture)

Canonical page: https://career.thegoodapps.co/jobs/2e811e6c-9129-4096-838b-bf5c2119f0bf

Listed on Accenture's own careers site. Applications go to them directly.

- Seniority: Senior

## Summary

Lead the design and implementation of AI and machine learning platforms embedded in infrastructure management systems, architecting production-grade MLOps and GenAIOps solutions across cloud environments. This role suits experienced ML engineers who want to move into infrastructure automation and advisory work, combining deep technical expertise with client-facing strategy and mentorship.

_Our summary, not Accenture's wording._

## Skills named

Ansible, AWS SageMaker, Chroma, CrewAI, CUDA, Datadog, Dynatrace, Google Vertex AI, Kubernetes, LangChain, LlamaIndex, Pinecone, Python, PyTorch, Retrieval-Augmented Generation (RAG), ServiceNow, TensorFlow, Terraform, Weaviate

## Required

- Deep expertise in Python and ML frameworks (PyTorch, TensorFlow)
- 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, and fine-tuning techniques
- Strong background with agentic AI frameworks (LangChain, AutoGen, LlamaIndex, CrewAI)
- Experience with vector databases (Pinecone, Weaviate, Chroma, pgvector)
- Deep understanding of Kubernetes for AI workloads
- Strong understanding of enterprise infrastructure operations and ITIL processes
- Experience integrating AI with enterprise tools (ServiceNow, ITSM, observability platforms)
- Experience with AI observability, prompt management, and model monitoring
- Strong knowledge of AI security, data governance, and secure AI deployment
- Experience managing token lifecycle and AI platform cost governance
- Experience with Infrastructure as Code (Terraform, Ansible)
- Fluency in English and French (or Dutch) required
- NATO member country citizenship
- Eligible to work in Belgium

## Nice to have

- Experience with multimodal AI models and computer vision for infrastructure
- Knowledge of low-level optimisation (CUDA, Triton)
- Familiarity with AI-native observability platforms (Dynatrace Davis AI, Datadog Watchdog)
- Contribution to open-source AI or MLOps projects
- Background in edge AI or IoT sensor-driven ML
- Experience building AI agents integrated with enterprise platforms
- AWS Certified Machine Learning – Specialty
- Microsoft Certified Azure AI Engineer Associate or Data Scientist
- Google Professional Machine Learning Engineer
- NVIDIA Deep Learning Institute certifications
- Certified AI Governance Professional (CAIGP)
- ITIL 4 Foundation or Managing Professional

Apply on Accenture's site: https://accenture.wd103.myworkdayjobs.com/en-US/AccentureCareers/job/Brussels/Senior-Infrastructure-AI-Specialist_R00346205