Senior AI Architect — Multi-Agent Systems & LLMOps

Jobtailor

Crawley

On-site

GBP 110,000 - 170,000

Full time

14 days+

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Job summary

Jobtailor is seeking a Technical Leader to design and scale agentic AI systems, drive enterprise-grade LLM deployment, and define engineering excellence in collaboration with architecture and product teams. The role focuses on mentoring engineers, delivering MVPs to production, and shaping the AI strategy across the business.

You'll work with GCP Vertex AI, LangGraph, LangChain, and MLOps pipelines to ensure scalable, secure, and cost-effective solutions.

Qualifications

  • Experience building complex LLM-powered systems and multi-agent workflows.
  • Deep ML/NLP knowledge and enterprise model deployment.
  • Hands-on design of ELT/ETL data pipelines on cloud platforms.
  • Proven leadership in delivering technical projects and mentoring juniors.

Responsibilities

  • Lead AI engineering deliverables and design agentic workflows.
  • Own LLMOps/LLMOps CI/CD pipelines and deployment patterns.
  • Mentor engineers and drive MVPs to production at scale.
  • Collaborate with product and enterprise architects on standards and safety.

Skills

AI Orchestration & Development
MLOps/LLMOps Pipelines
Data Engineering & Cloud Computing
Team Leadership & Mentorship
Artificial Intelligence & Machine Lear
Autonomy
Influence
Complexity
Business Skills
Python
SQL

Education

Google Cloud Certified Cloud Engineer
Google Cloud Certified Professional Data Engineer
Google Cloud Certified Cloud AI Engineer
Bachelor’s or Master’s in CS/SE/AI or equivalent

Tools

Google Cloud Platform
Vertex AI
BigQuery
Cloud SQL
Google Cloud Storage
Docker
Kubernetes
LangGraph
LangChain
AutoGen

Job description

Jobtailor is seeking a Technical Leader to design and scale agentic AI systems, drive enterprise-grade LLM deployment, and define engineering excellence in collaboration with architecture and product teams. The role focuses on mentoring engineers, delivering MVPs to production, and shaping the AI strategy across the business.

You'll work with GCP Vertex AI, LangGraph, LangChain, and MLOps pipelines to ensure scalable, secure, and cost-effective solutions.

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