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AI Enablement Lead [gn] Data Intelligence

CompraTica Empleos

EMP:Management
Europe
Tiempo Completo
Remoto
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Descripción

The AI Enablement Team is the catalyst for internal transformation and product acceleration across Actian.

In the modern data landscape, AI is not a siloed experimental lab; it is a core capability that must be embedded into our product DNA and our engineering workflows.

We are looking for an AI Enablement Lead who will architect, scale, and own our AI enablement strategy end-to-end.

You are not a theoretical researcher or a passive prompt engineer; you are a highly practical, technical driver who builds the foundational platforms, tooling, and frameworks that allow other product and engineering teams to deploy AI safely, rapidly, and at scale.

You will democratize AI across the organization, establish modern LLMOps/MLOps practices, and directly impact the Actian Data Intelligence Platform by introducing agentic workflows, intelligent data pipelines, and cutting-edge capabilities.

Responsabilidades

: Internal AI tooling: 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

Product AI Integration: Collaborate directly with core engineering teams to embed production-ready generative AI and machine learning features into the Actian Data Intelligence Platform.

LLMOps & Governance Infrastructure: Establish strict guardrails, evaluation frameworks, and monitoring tools to track model performance, bias, data privacy, and security across all AI implementations.

Cost & Latency Optimization: Actively monitor and manage cloud and API compute spend (token management, open-source vs.

commercial models) and optimize execution latency for production AI features.

Cross-Functional Upskilling: Lead workshops, design blueprints, and create documentation to empower non-AI engineering teams to build and maintain their own AI-driven features confidently.

Rapid Prototyping (PoC to Production): Drive the engineering execution of high-impact AI proof-.

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