AI Enablement Lead, Data Intelligence

🕒 July 8

🇫🇷 France – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Actian

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 1980

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Actian is a company that offers data management and analytics platforms, enabling businesses to make confident, data-driven decisions. Their products include a cloud-native SaaS solution and a comprehensive data platform with capabilities in data management, integration, quality, analytics, and app modernization. Actian's technology supports flexible deployment options across on-premises, cloud, and hybrid environments. Their database solutions include NoSQL, RDBMS, and other database management systems ideal for diverse applications. Actian collaborates with major cloud platforms like Google Cloud, AWS, and Microsoft Azure, providing solutions across various industries such as financial services, healthcare, and retail. The company aims to empower organizations by simplifying how data is connected, managed, and analyzed, offering reliable, scalable, and high-performance solutions.

📋 Description

• Design and maintain the core AI orchestration layers, centralized API gateways, and reusable frameworks (e.g., advanced RAG architectures, agentic frameworks) for company-wide consumption. • Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform. • Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias, data privacy, and security across all AI implementations. • Actively monitor and manage cloud and API compute spend (token management, open-source vs. commercial models) and optimize execution latency for production AI features. • Lead workshops, design blueprints, and create documentation to empower non-AI engineering teams to build and maintain their own AI-driven features confidently. • Drive the engineering execution of high-impact AI proof-of-concepts, ensuring they are built with production-grade code that scales seamlessly. • Define and enforce the organization's official AI stack, from vector database selection and vector embeddings strategies to semantic caching mechanisms. • Evaluate and manage partnerships with AI model providers and lead the technical assessment of cutting-edge open-source models to keep Actian at the vanguard of innovation. • Define and track operational metrics for the AI Enablement function, such as developer adoption rates, reduction in time-to-market for AI features, and ROI of implemented AI tools.

🎯 Requirements

• Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has successfully built and scaled AI-powered applications in enterprise SaaS or complex data platforms. • Deep technical expertise in Python or Go, semantic search, vector databases (e.g., Pinecone, Milvus, pgvector), orchestration frameworks (LangChain, LlamaIndex), and fine-tuning or prompt engineering of state-of-the-art Large Language Models (LLMs). • High-agency mindset. You don’t wait for product teams to ask for AI capabilities; you proactively build the frameworks that solve their bottlenecks before they even identify them. • You treat AI development as software engineering. You understand CI/CD, unit testing for AI (evaluation datasets), containerization (Docker/Kubernetes), and clean code architecture. • Exceptional leadership and communication skills. You can inspire and align disparate engineering teams around a shared technical vision without being their direct line manager. • Exceptional verbal and written English communication skills. Ability to demystify complex AI anomalies or architectures into clear business value for internal stakeholders and executives.

🏖️ Benefits

• The chance to be part of an innovative, fast-growing company making a significant impact in the data management space. • Collaboration with a passionate and diverse team. • Competitive salary and benefits package. • Flexible work arrangements (remote or hybrid). • Opportunities for professional growth and development.