AI Enablement Lead - Drive Data Intelligence Innovation

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.

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.

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.

You can inspire and align disparate engineering teams around a shared technical vision without being their direct line manager.

Ability to demystify complex AI anomalies or architectures into clear business value for internal stakeholders and executives.

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.

Flexible work arrangements (remote or hybrid).

Opportunities for professional growth and development.

This role is perfect for someone who thrives in a dynamic environment, loves creating an efficient and welcoming workspace, and enjoys working closely with a talented team.

Interested? We’d love to hear from you! Let’s discuss how you can contribute to our success while growing your career with us.

We value diversity at our company.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or any other applicable legally protected characteristics in the location in which the candidate is applying.