Avensys Consulting UK
Artificial Intelligence Engineer
Skills
2 days ago
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Important information
Contract type:
Freelance / Contract
Location:
Paris, France
Work mode:
Onsite
Published on:
21 October 2026
What they need
Role : Devops AI Engineer
Work Setup : Hybrid
Location : paris, France
Role Summary:
We are seeking a Forward Deployed Engineer to work closely with business and technology stakeholders to design, develop, and implement AI-driven and data-centric solutions. The ideal candidate will combine strong software engineering expertise with customer-facing consulting skills to deliver scalable solutions aligned with business objectives.
Key Responsibilities
- Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
- Design, develop, and deploy applications leveraging AI/ML, Generative AI, and cloud technologies.
- Build integrations with enterprise systems, APIs, and data platforms.
- Develop PoCs and production-ready solutions to address business challenges.
- Work with Data Science, Engineering, and DevOps teams to operationalize AI solutions.
- Ensure solution scalability, performance, security, and compliance with banking standards.
- Provide technical leadership during implementation, deployment, and post-production support.
Required Skills
- Strong programming experience in Python, Java, or Scala .
- Hands-on experience with Generative AI, LLMs, RAG, Prompt Engineering, and AI/ML solutions .
- Experience with Azure, AWS, or GCP cloud platforms.
- Knowledge of REST APIs, Microservices, SQL/NoSQL databases, Docker, Kubernetes, and CI/CD pipelines .
- Familiarity with Databricks, Spark, and modern data engineering frameworks .
- Strong problem-solving, stakeholder management, and client-facing communication skills.
Preferred Qualifications
- Experience in Banking, Financial Services, Risk, Compliance, Fraud Detection, or Customer Operations.
- Exposure to Azure OpenAI, OpenAI, LangChain, LlamaIndex , or similar AI ecosystems.
- Understanding of AI Governance, Security, and Responsible AI principles.
Key Competencies
- Solution Architecture
- Software Engineering
- AI & Data Platforms
- Customer Engagement
- Stakeholder Management
- Agile Delivery
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