Actian
AI Enablement Lead [gn] Data Intelligence
EuropeRemotePosted Today
Full TimeSeniorRemote
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Job Description
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 th
Key Highlights
- 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.
Qualifications
Required Qualifications
- Technical Background: 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.
- AI & Engineering Mastery: 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).
- Extreme Ownership: 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.
- Software Engineering Rigor: You treat AI development as software engineering. You understand CI/CD, unit testing for AI (evaluation datasets), containerization (Docker/Kubernetes), and clean code architecture.
- Influence Without Authority: Exceptional leadership and communication skills. You can inspire and align disparate engineering teams around a shared technical vision without being their direct line manager.
- Communication: Exceptional verbal and written English communication skills. Ability to demystify complex AI anomalies or architectures into clear business value for internal stakeholders and executives.
Skills & Technologies
Machine LearningPythonGoCI/CDDockerKubernetes
About the Company
Actian
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Job Details
Employment Type
Full Time
Experience Level
Senior
Location
Europe
Work Mode
Remote
Posted
Today