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 proficiency 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.