Remote AI Enablement Architect

Actian

Basingstoke

Hybrid

GBP 120,000 - 180,000

Full time

11 days ago
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Benefits offered by this job

Flexible work arrangements
Collaborative, diverse team
Competitive salary and benefits

Job summary

The AI Enablement Lead at Actian will architect, scale, and own our AI enablement strategy end-to-end, building platforms, tooling, and frameworks that empower product and engineering teams to deploy AI safely and rapidly.

You will champion LLMOps, governance, and data pipelines, driving cross-functional adoption, measuring impact, and delivering production-grade AI capabilities across the Actian Data Intelligence Platform.

Qualifications

  • Senior AI/ML Engineer, LLMOps Engineer, or Software Architect with proven experience building and scaling 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).
  • Extreme Ownership with a high-agency mindset, proactively building frameworks that solve bottlenecks before teams request them.
  • Software engineering rigor: CI/CD, AI evaluation datasets, containerization (Docker/Kubernetes), and clean code architecture.
  • Exceptional communication skills to translate AI concepts into business value for internal stakeholders and executives.

Responsibilities

  • Design and maintain the core AI orchestration layers, centralized API gateways, and reusable frameworks for company-wide consumption.
  • Collaborate with core engineering teams to embed production-ready generative AI and ML features into the Actian Data Intelligence Platform.
  • Establish guardrails, evaluation frameworks, and monitoring tools for model performance, bias, privacy, and security across AI implementations.
  • Monitor cloud and API compute spend and optimize latency for production AI features.
  • Lead workshops and create documentation to empower non-AI engineering teams to build AI-driven features.
  • Drive PoCs to production with production-grade code that scales seamlessly.
  • Define and enforce the official AI stack, including vector databases and embeddings strategies.
  • Evaluate partnerships with AI model providers and open-source models to keep Actian at the cutting edge.
  • Define metrics to track impact: adoption rates, time-to-market, and ROI of AI tools.

Skills

Senior AI/ML Engineer
LLMOps Engineer
Software Architect
Python
Go
CI/CD
Docker/Kubernetes
LangChain

Tools

Pinecone
Milvus
pgvector
LangChain
LlamaIndex

Job description

The AI Enablement Lead at Actian will architect, scale, and own our AI enablement strategy end-to-end, building platforms, tooling, and frameworks that empower product and engineering teams to deploy AI safely and rapidly.

You will champion LLMOps, governance, and data pipelines, driving cross-functional adoption, measuring impact, and delivering production-grade AI capabilities across the Actian Data Intelligence Platform.

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