Senior data & ai engineer (m/f)

As a Senior Data & AI Engineer (m/f) at ARHS Group part of Accenture, you will lead the design, development, and deployment of advanced AI solutions across NLP, computer vision, and LLMs - scaling from edge devices to cloud infrastructure. You will shape intelligent systems that transform raw data into secure, high-performing AI-driven platforms, guiding technical strategy and mentoring engineering teams along the way.
Beyond project delivery, you will be the go-to expert and team lead for all Machine Learning matters, responsible for guiding others and consolidating organizational know-how around ML.
THE WORK:
Act as the team lead for the ML domain : define engineering standards, ensure consistency and reusability across projects, and align AI practices with company goals.
Architect and oversee AI/ML pipelines covering data ingestion, feature engineering, model training, deployment, and post-deployment monitoring
Lead the development and customization of LLM-based solutions , including open-source models (e.g., Mistral, LLaMA) on hybrid cloud/on-prem infrastructure, ensuring privacy, latency, and performance constraints are met.
Design and supervise the implementation of NLP pipelines for information extraction, classification, semantic search, and document understanding.
Deliver production-grade AI services with high-availability APIs using FastAPI or equivalent frameworks.
Drive deployment of AI workloads to both cloud platforms (Azure or AWS) and edge devices(e.g., NVIDIA Jetson Orin, Xavier NX) with real-time inference capabilities.
Own infrastructure automation for reproducible and scalable ML environments using tools like Terraform, Ansible, Docker.
Architect and integrate AI components into event-driven and serverless ecosystems  (e.g., Azure Functions, Event Grid), ensuring observability, resilience, and scalability.
Provide technical leadership and mentorship to junior/mid-level engineers, fostering a culture of best practices in MLOps, reproducibility, and ethical AI use.
Our roles require in-person time to encourage collaboration, learning, and relationship-building with clients, colleagues, and communities. As an employer, we will be as flexible as possible to support your specific work/life needs.
The work location for this role is an ARHS – Part of Accenture office.
HERE’S WHAT YOU’LL NEED:
Minimum 5 years of hands-on experience in AI/ML engineering , with a demonstrated ability to lead and deliver complex AI initiatives across full-stack data pipelines and AI systems , and proficency in:
Programming & APIs : Python, REST API architecture, performance tuning, secure API development.
NLP & ML : Transformers, LLMs (Mistral, LLaMA, etc.), RAG architectures, prompt tuning, model compression, vector search, OCR pipelines, chatbot design.
Cloud Platforms : Deep expertise in Azure and/or AWS (Functions, Glue, Logic Apps, AI Services).
MLOps & Infrastructure : Docker, GitHub Actions, Infrastructure-as-Code (Terraform ,Ansible), CI/CD pipelines.
AI System Integration : Edge inference (Jetson Orin, Xavier NX), Ollama/ONNX runtime, hybrid deployments, and workload orchestration.
Interest or background in traditional software development (e.g., Java, .NET, TypeScript, Spring Boot) is a big plus .
Any AWS/Azure certification is optional but valued.
Strong communication in English or French (both is a plus).
Demonstrated leadership in cross-functional teams, including mentoring and coaching.
Autonomous and capable of strategic technical decision-making .
Passion for building production-ready AI, with a bias for clean, documented, and maintainable solutions.
Familiarity with Agile and DevOps cultures .
Commitment to building and sharing internal knowledge, enabling collective team growth.