AI Enablement Lead, Data Intelligence

This is a fully remote position, open to applicants in France.

📋 Description

• Design and manage the fundamental AI orchestration layers, centralized API gateways, and reusable frameworks (e.g., advanced RAG architectures, agentic frameworks) for organization-wide utilization.

• Work closely with core engineering teams to integrate production-ready generative AI and machine learning features into the Actian Data Intelligence Platform.

• Implement stringent guardrails, evaluation frameworks, and monitoring tools to assess model performance, bias, data privacy, and security across all AI applications.

• Continuously oversee and optimize cloud and API compute expenditures (token management, open-source versus commercial models) and enhance execution latency for production AI features.

• Facilitate workshops, create design blueprints, and produce documentation to empower non-AI engineering teams to confidently develop and maintain their AI-driven features.

• Spearhead the engineering execution of impactful AI proof-of-concepts, ensuring they are developed with production-level code that scales efficiently.

• Establish and uphold the organization's official AI stack, including vector database selection, vector embedding strategies, and semantic caching mechanisms.

• Assess and manage collaborations with AI model providers and lead the technical evaluation of state-of-the-art open-source models to maintain Actian's position at the forefront of innovation.

• Define and monitor operational metrics for the AI Enablement function, including developer adoption rates, reduction in time-to-market for AI features, and ROI of implemented AI tools.

⛳️ Requirements

• Proven experience as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect with a successful track record of building and scaling AI-powered applications in enterprise SaaS or complex data platforms.

• Extensive technical knowledge in Python or Go, semantic search, vector databases (e.g., Pinecone, Milvus, pgvector), orchestration frameworks (LangChain, LlamaIndex), and fine-tuning or prompt engineering of advanced Large Language Models (LLMs).

• High-agency mindset. You take the initiative to build frameworks that address bottlenecks for product teams before they recognize the need.

• Approach AI development with the principles of software engineering. You are familiar with CI/CD, unit testing for AI (evaluation datasets), containerization (Docker/Kubernetes), and clean code architecture.

• Outstanding leadership and communication skills. You can motivate and align diverse engineering teams around a collective technical vision without being their direct supervisor.

• Excellent verbal and written communication skills in English. Capable of translating complex AI phenomena or architectures into clear business value for internal stakeholders and executives.

🏝️ Benefits

• The opportunity to be part of an innovative, rapidly growing company that is making a substantial impact in the data management sector.

• Collaboration with a passionate and diverse team.

• Competitive salary and benefits package.

• Flexible work arrangements (remote or hybrid).

• Opportunities for professional growth and development.