Artificial Intelligence Engineer

Avensys Consulting UK; Paris; On-site; EUR 70,000 - 120,000; Full time

Job summary

Avensys Consulting UK seeks a Forward Deployed Engineer to design, develop, and implement AI-driven and data-centric solutions in collaboration with business and tech stakeholders. You will blend software engineering expertise with consulting skills to deliver scalable, banking-compliant solutions.

You will lead technical delivery, build PoCs, and integrate with enterprise systems while working across Data Science, Engineering, and DevOps teams.

Qualifications

• Strong programming 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.

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.

Skills

Python

Java

Scala

Generative AI

LLMs

RAG

Prompt Engineering

AI/ML solutions

Azure

AWS

GCP

REST APIs

Microservices

SQL/NoSQL

Docker

Kubernetes

CI/CD

Databricks

Spark

data engineering frameworks

Tools

Databricks

Spark

Job description

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.