AI Engineer

Accenture
Brussel, Belgium
1 day ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Languages
Dutch, English, French

Tech stack

A/B Testing Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Cloud Engineering Encodings Continuous Integration Fault Tolerance Python (Programming Language) Machine Learning
+24 more
Object-Oriented Software Development Performance Tuning Cloud Services Azure Machine Learning Software Engineering Data Streaming Unstructured Data Data Logging Flask (Web Framework) Large Language Models Prompt Engineering Generative AI Git Fastapi Containerization Kubernetes Information Technology Machine Learning Operations Virtual Agents Software Version Control Data Pipelines Devsecops Serverless Computing Docker

Job description

As an AI Engineer, you turn the latest advances in AI into scalable, production-grade solutions that deliver real business impact. You work at the intersection of software engineering, machine learning, and cloud architecture, building the systems that take AI from promising prototype to reliable, operating service. You don’t just make models work in a notebook; you make them work in production, at scale, and responsibly. From data pipelines and model deployment to monitoring and continuous improvement, you own the engineering that makes AI dependable. Generative and Agentic AI are central to the role. You build LLM-powered applications such as RAG systems, agents, and orchestration pipelines, and put in place the evaluation, guardrails, and observability needed to run them safely in the real world., * Building Production AI: Design, develop, deploy, and operate high-quality AI/ML solutions across industries, owning the full lifecycle from inception through production and operations.

  • Delivering GenAI & Agentic Solutions: Build LLM-powered applications such as RAG pipelines, agents, and multi-step orchestration, and implement robust evaluation, guardrails, and quality measures to make them trustworthy in production.
  • Engineering Scalable Pipelines: Build cloud-native ML pipelines and APIs (e.g. FastAPI, Flask) with CI/CD for reproducibility and speed, working with streaming data, vector databases, and unstructured data to enable real-time AI services.
  • Applying MLOps & LLMOps: Implement model registries, experiment tracking, drift detection, prompt/version management, and automated retraining so solutions stay reliable as data and usage evolve.
  • Ensuring Observability & Reliability: Put in place logging, monitoring, A/B testing, and health checks, ensuring fault tolerance, performance, and cost-efficiency under real-world load.
  • Embedding Responsible AI: Build security, privacy, and responsible-AI practices into solutions from the start, so what you ship is safe, compliant, and ready for scrutiny.
  • Shaping Solutions & Mentoring: Contribute to solution design and technology strategy, support multidisciplinary teams, mentor colleagues, and help advance AI engineering best practices within the Data & AI community.

Requirements

  • Education: Bachelor’s or Master’s degree in Computer Science, Engineering, AI, or a related field.
  • Experience: 3+ years building and deploying AI/ML solutions in production, ideally in a project-based or consulting environment.
  • Strong Software Engineering: Strong Python skills (async/await, OOP, PEP8) and related ML/data libraries, with a solid grounding in software engineering and DevSecOps practices.
  • GenAI Engineering: Hands-on experience building LLM applications (RAG, agents, orchestration frameworks such as LangChain or LlamaIndex), with prompt engineering, fine-tuning, and evaluation of GenAI systems.
  • MLOps Proficiency: Experience with Git, CI/CD, and MLOps practices (registries, metrics, drift detection, experiment tracking, deployment patterns).
  • Cloud & Platforms: Cloud expertise (AWS, Azure, or GCP) including networking, security, storage, monitoring, scaling, and HA/DR, and familiarity with AI/ML platforms such as SageMaker, Vertex AI, Azure ML, OpenAI, and vector databases (e.g. Pinecone, Weaviate).
  • Containers & Orchestration: Experience with containerization and orchestration (Docker, Kubernetes, serverless).
  • Track Record: Experience building PoCs for rapid learning, and a proven track record of delivering AI/ML services in production for large-scale end-user adoption.
  • Languages & Certification: Fluent in English; Dutch and/or French is a strong plus. Cloud ML or AI engineering certification is a plus.
  • Consultancy DNA: A genuine consulting mindset is essential. You are comfortable working across different clients and contexts, adapt quickly to new environments, build trusted relationships, and represent Accenture with professionalism and drive.

Benefits & conditions

Accenture is an incredible place to work - and keep learning. By joining us, you’ll become part of a global company with a world-class brand and reputation. Besides the work we do for our clients, we’re really proud of our vibrant, diverse workplace culture: we believe in openness and honesty, fairness and equality, common sense and realism. We want to get to know the real you and help you explore and grow - whatever it is you’re great at. So you will always have lots of learning opportunities (formal and informal) to improve your role-specific skills and expertise. Besides our high-profile, challenging projects and our nurturing work environment, we offer excellent employee benefits, including:

  • 20 + 12 holidays (Belgium)
  • Laptop and smartphone
  • Hospitalization insurance and extensive group insurance package
  • Bonus program
  • Training & learning opportunities
  • Different mobility options
  • Flexrewards: decide on your rewards package with our flexible benefits tool
  • Discount program: get discounts at your favorite (online) shops
  • Employee shares purchase plan
  • And many more!

About the company

About Accenture Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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