AI Enablement Lead [gn] Data Intelligence

2 months ago

Remote, United KingdomStaff+

Responsibilities

Design and maintain internal AI orchestration layers, centralized API gateways, reusable frameworks, advanced RAG architectures, and agentic frameworks.
Collaborate with engineering teams to integrate production-ready generative AI and machine learning features into the Actian Data Intelligence Platform.
Establish LLMOps and governance infrastructure, including guardrails, evaluation frameworks, monitoring, and controls for model performance, bias, privacy, and security.
Monitor and optimize cloud and API compute costs, token usage, model selection, and execution latency.
Lead workshops, create technical blueprints and documentation, and enable non-AI engineering teams to build and maintain AI features.
Drive AI proof-of-concepts from rapid prototype through scalable, production-grade implementation.
Define and enforce the organization’s AI technology stack, including vector databases, embeddings strategies, and semantic caching.
Evaluate AI model providers, manage technical vendor relationships, and assess open-source models.
Define and track operational metrics such as developer adoption, time-to-market improvements, and return on investment.

Strong background as a Senior AI/ML Engineer, LLMOps Engineer, or Software Architect who has built and scaled AI-powered applications in enterprise SaaS or complex data platforms.
Deep expertise in Python or Go, semantic search, vector databases such as Pinecone, Milvus, and pgvector, and orchestration frameworks such as LangChain and LlamaIndex.
Experience with fine-tuning or prompt engineering for state-of-the-art large language models.
Understanding of software engineering practices including unit testing for AI, evaluation datasets, containerization with Docker and Kubernetes, and clean code architecture.
Ability to lead through influence, align engineering teams around a shared technical vision, and operate with high ownership.
Exceptional verbal and written English communication skills, including the ability to explain complex AI architectures and anomalies to stakeholders and executives.

Competitive salary and benefits package.
Flexible work arrangements, including remote or hybrid work.
Opportunities for professional growth and development.
Collaboration with a passionate and diverse team at an innovative, fast-growing data management company.

501-1,000 employees