AI Engineer (Spanish)

AXA Global Business Services is a subsidiary of AXA Group, one of the leading insurance brands in the world. We embody the essence of a diverse, global team, uniting talents from around the world to create a seamless, supportive network for all AXA entities. Our story is one of collaboration and growth, deeply rooted in our mission and vision, guiding every step we take. Our Mission: Together with entities, we deliver advanced services and shape solutions that drive operational excellence. In the heart of AXA, our role is multi-layered. From insurance operations to corporate functions, we leverage data, technology, and diverse capabilities to enhance our partners' performance in a streamlined, efficient manner. Our Vision: Building on unique capabilities and expertise, our teams dare to open new doors for AXA. We are not just about today; we are shaping tomorrow. Our vision is to continuously develop new skills and solutions, opening doors to fresh opportunities. This means committing to the highest service and quality levels, embracing continuous improvement, and fostering courage and boldness within our team. For over 25 years, our operations have spanned across five delivery centres in India and Morocco, serving more than 35 AXA entities. Our 3,800+ strong workforce is the heartbeat of our organisation, moving forward in a culture of trust, empowerment, and care. Driven by our values, we are a cohesive global team, quick to adapt to market dynamics, united by the desire to excel. Our Centres of Excellence (COEs) offer advanced services, shaping tailor-made solutions for our partners in the Tech, Security, Data, Insurance Ops and Corporate function Ops domain. The AXAllence strategic plan for 2024-26 charts our future course, focusing on operational efficiency, employee retention and skill enhancement, and delivering unparalleled value to our partners. These pillars, supported by our vision and mission, are the foundation of our commitment to AXA. In essence, while our heritage lies in delivering value in BPO services, our innovative spirit thrives in the IT domain, all in support of the overarching AXA Group strategy. At AXA Global Business Services, we are not just preparing for the future; we are actively creating it. At AXA Global Business Services, the future is brimming with opportunities. Join us on this exciting journey! Together, we will continue to open new doors for AXA. JOB PURPOSE We are looking for a technically proficient Generative AI Engineer to design, develop, and maintain AI-powered solutions supporting business needs across multiple domains. You will be responsible for building scalable GenAI applications, implementing Retrieval-Augmented Generation (RAG) architectures, integrating Large Language Models (LLMs) into enterprise ecosystems, and contributing to the continuous improvement of AI capabilities across the organization. This role requires strong expertise in Generative AI technologies, software engineering, problem-solving capabilities, and the ability to collaborate effectively with business and technical teams. PROFILE As a Generative AI Engineer, you support business and technical teams in identifying AI opportunities, designing intelligent solutions, developing AI-powered applications, and ensuring the maintenance and evolution of enterprise AI platforms. You contribute to delivering reliable, secure, and scalable AI solutions while ensuring compliance with AI governance, security standards, and software engineering best practices. RESPONSIBILITIES • Analyze business requirements and translate them into AI-powered solutions. • Design, develop, test, and deploy Generative AI applications such as assistants, chatbots, copilots, and autonomous agents. • Design and implement Retrieval-Augmented Generation (RAG) architectures, including data ingestion, indexing, retrieval, and response generation. • Develop and orchestrate LLM workflows using LangChain, LangGraph, MCP, and similar frameworks. • Integrate AI services with APIs, databases, data platforms, and enterprise applications. • Optimize prompts, retrieval strategies, and model interactions to improve response quality and business value. • Implement evaluation frameworks to measure AI performance, reliability, and user satisfaction. • Ensure AI systems meet security, compliance, and responsible AI requirements. • Participate in code reviews and contribute to AI engineering best practices. • Produce technical documentation and knowledge-sharing materials. • Contribute to the continuous improvement of AI platforms, frameworks, and development processes. TECHNICAL SKILLS Generative AI & Large Language Models • Strong expertise in Generative AI concepts and technologies. • Hands-on experience with Large Language Models (LLMs). • Good understanding of prompt engineering techniques and optimization strategies. • Experience designing AI assistants, chatbots, copilots, and agent-based solutions. • Knowledge of model evaluation, benchmarking, and monitoring practices. RAG & Knowledge Retrieval • Strong experience implementing Retrieval-Augmented Generation (RAG) solutions. • Knowledge of document ingestion, chunking, embedding, indexing, and retrieval techniques. • Experience working with semantic search and hybrid search approaches. • Understanding of knowledge management and enterprise search architectures. • Experience optimizing retrieval quality and relevance. AI Frameworks & Orchestration • Hands-on experience with LangChain, LangGraph, MCP, or equivalent AI orchestration frameworks. • Experience building multi-step AI workflows and agent architectures. • Knowledge of tool calling, workflow orchestration, and agent collaboration patterns. • Understanding of AI application lifecycle management. • Familiarity with emerging GenAI frameworks and ecosystem tools. Software Engineering • Strong proficiency in Python development. • Good understanding of object-oriented programming principles. • Experience building production-grade applications and APIs. • Knowledge of software architecture, testing, and deployment best practices. • Familiarity with Agile development methodologies. Data & Integration • Experience integrating AI solutions with APIs, databases, and enterprise systems. • Good knowledge of SQL and data management concepts. • Understanding of structured and unstructured data processing. • Experience with cloud-native AI and data services. • Knowledge of vector databases and embedding models. Responsible AI & Security • Understanding of AI governance and Responsible AI principles. • Experience implementing safeguards for hallucination mitigation and content filtering. • Knowledge of AI security, privacy, and compliance requirements. • Understanding of model performance monitoring and risk management. • Ability to evaluate robustness and reliability of AI systems. SOFTWARE & TECHNICAL ENVIRONMENT • Python • LangChain • LangGraph • MCP (Model Context Protocol) • OpenAI / Azure OpenAI Services • Vector Databases (FAISS, ChromaDB, Pinecone, Azure AI Search, etc.) • SQL • REST APIs • Git • Azure DevOps • Docker (asset) • Cloud Platforms (Azure and/or AWS) • CI/CD Frameworks PROFESSIONAL SKILLS • Excellent communication and interpersonal skills. • Ability to interact effectively with business and technical stakeholders. • Strong analytical and problem-solving skills. • Strong innovation and experimentation mindset. • Customer-oriented mindset and service excellence approach. • Ability to work autonomously while maintaining strong collaboration within teams. • Curiosity and willingness to learn emerging AI technologies. • Ability to work in multi-site and cross-functional environments. • Strong commitment to quality, security, and continuous improvement. EXPERIENCE & DELIVERABLES • 2 to 7 years of experience in AI, Machine Learning, Data Engineering, or Software Engineering roles. • Proven experience developing and deploying AI-powered applications. • Strong autonomy in designing and implementing GenAI solutions. • Significant experience delivering enterprise-scale AI and Generative AI solutions. • Ability to define technical standards, mentor team members, and engage with senior stakeholders. • Experience leading AI transformation initiatives and complex solution architectures. Common Requirements • Strong Python and software engineering skills. • Hands-on experience with LLMs, RAG architectures, vector databases, and prompt engineering. • Experience working with LangChain, LangGraph, MCP, or equivalent AI orchestration frameworks. • Experience working in Agile environments. • Ability to produce technical documentation and knowledge-transfer materials. • Experience participating in the complete development lifecycle, from requirements gathering to production deployment. • AI, Cloud, or Data certifications would be considered a strong advantage. • Spanish mandatory (professional level), French and/or English preferred.