AI Enablement Architect — Scale Production AI

Actian

Wollaton

Hybrid

GBP 110,000 - 150,000

Full time

10 days ago
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Benefits offered by this job

Flexible work
Competitive benefits

Job summary

Actian is seeking an AI Enablement Lead to architect, scale, and own our AI enablement strategy across the Data Intelligence Platform. You will build foundational AI tooling, govern LLMOps practices, and drive cross-team adoption of AI capabilities in production.

You will lead the design of agentic workflows, data pipelines, and standardize tooling while partnering with engineering to deliver scalable AI features and measurable business impact. Flexible remote/hybrid work options available.

Qualifications

  • Proven track record in deploying AI-powered SaaS in enterprise contexts.
  • Expertise with Python or Go, LLMs, and MLOps.
  • Strong leadership with ability to drive cross-team initiatives.

Responsibilities

  • Design and maintain core AI orchestration layers and reusable frameworks.
  • Embed production-ready AI features into the Actian Data Intelligence Platform.
  • Establish guardrails, evaluation frameworks, and monitoring tools for AI.
  • Monitor cloud and API spend and optimize latency for production AI features.
  • Lead upskilling workshops and create documentation for non-AI engineers.
  • Drive PoC to production transitions with scalable, production-grade code.
  • Standardize the AI tooling stack, including vector databases and embeddings strategies.
  • Evaluate vendor and open-source models to keep Actian at the innovation frontier.
  • Define metrics to track AI enablement impact and ROI.

Skills

Senior AI/ML Engineer
LLMOps Engineer
Software Architect
Python
Go
LangChain
LlamaIndex
CI/CD
Distributed systems

Tools

Pinecone
Milvus
pgvector
Docker
Kubernetes

Job description

Actian is seeking an AI Enablement Lead to architect, scale, and own our AI enablement strategy across the Data Intelligence Platform. You will build foundational AI tooling, govern LLMOps practices, and drive cross-team adoption of AI capabilities in production.

You will lead the design of agentic workflows, data pipelines, and standardize tooling while partnering with engineering to deliver scalable AI features and measurable business impact. Flexible remote/hybrid work options available.

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