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.

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