Senior AI Architect & Enterprise Platform Lead

Unity-Advisory

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

14 days+
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Job summary

Unity Advisory seeks a client-facing AI Architect to design and deliver enterprise-grade AI architectures at scale. You’ll work closely with engineers and consultants to turn ambitious ideas into production-ready systems.

In this senior role, you’ll evaluate emerging AI technologies, ensure governance and security, and optimize environments for performance and cost-efficiency while guiding projects from PoC to deployment.

Qualifications

  • 7+ years in enterprise architecture or AI/ML engineering.
  • Experience with cloud environments (AWS, Azure, GCP).
  • Knowledge of AI governance and MLOps tools.

Responsibilities

  • Design scalable AI platforms, pipelines, and frameworks aligned with enterprise goals.
  • Define target-state AI architectures across applications, data, and infrastructure.
  • Evaluate emerging AI technologies (LLMs, multimodal, agentic AI) for adoption.
  • Ensure AI architectures comply with governance, security, and regulatory frameworks.
  • Collaborate with engineers and consultants to deliver enterprise-ready solutions.
  • Support proof-of-concept projects and guide them into production systems.
  • Develop integration strategies for AI platforms and enterprise applications.
  • Advise leadership on AI architecture best practices and risks.
  • Optimise AI environments for performance, scalability, and cost-efficiency.
  • Maintain thought leadership by tracking advancements in AI architectures.

Skills

Enterprise architecture
AI/ML engineering
Cloud platforms
Governance & MLOps

Tools

MLOps tools

Job description

Unity Advisory seeks a client-facing AI Architect to design and deliver enterprise-grade AI architectures at scale. You’ll work closely with engineers and consultants to turn ambitious ideas into production-ready systems.

In this senior role, you’ll evaluate emerging AI technologies, ensure governance and security, and optimize environments for performance and cost-efficiency while guiding projects from PoC to deployment.

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