At a Glance
- Tasks: Lead AI enablement strategy, architecting tools and frameworks for seamless AI integration.
- Company: Join Actian, a fast-growing innovator in data management.
- Benefits: Competitive salary, flexible work options, and professional growth opportunities.
- Other info: Collaborate with a passionate team in a dynamic environment.
- Why this job: Make a real impact by democratizing AI across the organisation and driving innovation.
- Qualifications: Strong background in AI/ML engineering and software architecture required.
The predicted salary is between 72000 - 88000 £ per year.
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.
Core Responsibilities:
- 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-of-concepts, ensuring they are built with production-grade code that scales seamlessly.
- Standardization of Tooling: Define and enforce the organization's official AI stack, from vector database selection and vector embeddings strategies to semantic caching mechanisms.
- Vendor & Open-Source Strategy: 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.
- Data-Driven Impact Tracking: 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.
Qualifications & Profile:
- 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.
What We Offer:
- 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.
- Competitive salary and benefits package.
- Flexible work arrangements (remote or hybrid).
- Opportunities for professional growth and development.
Why Join Us? At Actian, we are passionate about innovation and teamwork. 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.
AI Enablement Lead [gn] Data Intelligence in Woking employer: Actian
Actian is an exceptional employer that champions innovation and collaboration in a fully remote environment, allowing you to work from anywhere while leading the development of cutting-edge data management solutions. With a strong focus on employee growth, Actian offers competitive compensation, a culture that values diversity, and the opportunity to shape the future of AI-driven products alongside talented cross-functional teams. Join us to not only advance your career but also to make a meaningful impact in the world of data intelligence.
StudySmarter Expert Advice🤫
We think this is how you could land AI Enablement Lead [gn] Data Intelligence in Woking
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We think you need these skills to ace AI Enablement Lead [gn] Data Intelligence in Woking
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Actian. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Actian
✨Brush Up on Your Statistics
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