Senior AI Solutions Engineer

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Senior AI Solutions Engineer

Details

  • Work Location Type:
    Hybrid
  • Office:
  • Type of Employment:
    Full Time Permanent
  • Reference Number:
    TEC2493

About Us

At FDJ UNITED, we don't just follow the game, we reinvent it.

FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation for technological excellence. With more than 5,000 employees and a presence in around fifteen regulated markets, the Group offers a diversified, responsible range of games, both under exclusive rights and open to competition. We set new standards, proving that entertainment and safety can go hand in hand. Here, you’ll work alongside a team of passionate individuals dedicated to delivering the best and safest entertaining experiences for our customers every day.

We’re looking for bold people who are eager to succeed and ready to level-up the game. If you thrive on innovation, embrace challenges, and want to make a real impact at all levels, FDJ UNITED is your playing field.

Join us in shaping the future of gaming. Are you ready to LEVEL-UP THE GAME?

 

About the Role

As a Senior AI Solutions Engineer, you will drive the end-to-end design, development, and deployment of cutting-edge AI solutions. You'll architect and build scalable microservices and APIs using Python and Java, while leveraging your expertise in large language models, vector databases and semantic similarity search.

In addition, you'll develop and maintain data pipelines with Airflow, ensure robust CI/CD and IaC practices (Terraform, CloudFormation), and containerise solutions using Docker and Kubernetes. Your work will span multiple cloud environments AWS (EC2, S3, Lambda, CodePipeline, AWS Bedrock) and Azure (Azure AI Foundry) and integrate front-end customisations in JavaScript/TypeScript for chatbots and interactive interfaces. You'll also contribute to modular, scalable RAG platform development, integrating structured and unstructured data sources working closely with Lead AI Solutions engineer.

By collaborating with cross-functional teams, you'll transform raw data into actionable insights, delivering AI-driven innovations that power our analytics applications and shape the future of data-centric decision-making across the organisation.

 

Key Responsibilities

  • AI System Architecture & Development
    • Design, implement, and optimise AI-driven applications using Python (Hugging Face Transformers, Langchain) and Java.
    • Incorporate advanced NLP and LLM techniques (e.g., embeddings, semantic search) to enhance data insights and user experiences.
  • AI & RAG System Development:
    • Design  and build scalable RAG systems, including chatbots and AI assistants, leveraging cutting-edge ML/LLM techniques.
    • Develop backend APIs and microservices using Python frameworks and Java for seamless integration with our existing services.
  • Data Engineering & Integration:
    • Design and maintain efficient data pipelines for real-time and batch processing, integrating structured data (SQL, data warehousing) and unstructured sources (documents, reports).
    • Utilise Airflow to orchestrate ETL workflows and ensure robust data processing.
    • Implement pipelines for LLM-based querying, embedding extraction, and metadata processing.
    • Ensure compliance with data governance, privacy, and security policies.

 

  • Cloud & Infrastructure Management:
    • Deploy and manage applications on AWS (EC2, S3, Lambda, CloudFormation, Terraform, CodePipeline, AWS Bedrock) and Azure (Azure AI Foundry including Functions and Agentic Workflows).
    • Collaborate with Platform Engineering to support Kubernetes deployments on FDJ's Cloud.
    • Ensure security integration with SSO platforms (e.g. Azure SSO, SailPoint).
    • Implement containerisation with Docker and Kubernetes while using CI/CD best practices and infrastructure as code (IaC) to ensure seamless deployments.
  • Vector Databases & Semantic Search:
    • Manage and optimise vector databases (PGVector, ChromaDB) to support semantic similarity search using cosine similarity techniques.
    • Integrate embedding models (Sentence Transformers, OpenAI Embeddings) to enhance data retrieval quality.
    • Ensure indexing performance and accuracy in semantic search systems.
  • Frontend & API Development:
    • Collaborate on developing interactive UI components (using JavaScript/TypeScript) for chatbot customisation and data visualisation.
    • Ensure that APIs are well-documented, secure, and scalable to support self-service analytics.
  • Team Collaboration & Mentorship:
    • Work with data analysts, data engineers, and platform engineers to create a cohesive AI ecosystem.
    • Mentor junior team members and lead knowledge transfer sessions to promote best practices across the organisation.

 

Required Skills & Qualifications

  • 5+ years of experience in data engineering, backend development, or AI/ML integration.
  • Strong proficiency in Python and Java.
  • Extensive hands-on experience with AWS services (EC2, S3, Lambda, CloudFormation, Terraform, CodePipeline, AWS Bedrock) and Azure AI Foundry.
  • Data & AI Technologies:
    • Expertise in vector databases (PGVector/ChromaDB) and semantic similarity search (cosine similarity).
    • Proficient with embedding techniques using Sentence Transformers and OpenAI Embeddings.
  • DevOps & CI/CD: Demonstrated experience in containerisation (Docker, Kubernetes), CI/CD pipelines, and IaC practices.
  • API & Data Integration: Proven track record in API development and managing data pipelines & warehousing solutions.
  • Frontend Exposure: Experience with JavaScript/TypeScript for enhancing chatbot customisations and interactive data interfaces.
  • Strong problem-solving skills, excellent communication, and a collaborative, agile mindset.

Nice-to-Have Skills

  • Experience fine-tuning large LLMs for domain-specific applications.
  • Prior work in self-service analytics or AI-powered business intelligence solutions.
  • Additional experience with Airflow for advanced ETL orchestration.

What We Offer

  • A dynamic, innovative work environment where bold ideas are celebrated.
  • Opportunity to work with cross-functional experts in AI, data engineering, and cloud technologies.
  • Competitive salary and benefits, with opportunities for professional growth and continuous learning.

 

Join Us
If you are ready to push the boundaries of technology and lead the charge in AI-driven innovation, apply now to become a key player in our journey to reinvent gaming and analytics.

 

 

Our Way Of Working

Our world is hybrid.

A career is not a sprint. It’s a marathon. One of the perks of joining us is that we value you as a person first. Our hybrid world allows you to focus on your goals and responsibilities and lets you self-organise to improve your deliveries and get the work done in your own way.

Application Process

We believe talent knows no boundaries. Our hiring process focuses solely on your skills, experience, and potential to contribute to our team. We welcome applicants from all backgrounds and evaluate each candidate based on merit, regardless of personal characteristics as the age, gender, origin, religion, sexual orientation, neurodiversity or disability.

 
 

Details

  • Work Location Type:
    Hybrid
  • Office:
  • Type of Employment:
    Full Time Permanent
  • Reference Number:
    TEC2493

Location

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Location
Kindred House, 17-25 Hartfield Road, Wimbledon, London, United Kingdom, SW19 3SE
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Benefits

Well-being allowance
Learning and development opportunities
Inclusion networks
Charity days
Long service awards
Private medical insurance
Life assurance and income protection
Employee Assistance Programme
Pension

Meet the recruiter

Prachi Arya

prachi.arya@kindredgroup.com

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