Agentic AI Architect for Enterprise AI & RAG Solutions

NewRocket

Greater London

On-site

GBP 90,000 - 140,000

Full time

14 days+
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Job summary

NewRocket is hiring an experienced Agentic AI Architect to design and deploy enterprise AI solutions for a large global client. You will lead AI/ML architecture, generative AI engineering, data engineering, and cloud solution design, delivering scalable, secure AI systems with Claude integration and RAG-based workflows.

You will collaborate with stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers to translate business needs into production-grade AI

Qualifications

  • Strong coding in Python and SQL; cloud services and databases.
  • Experience designing LLM-powered apps that connect models to enterprise systems.
  • Hands-on with AI/ML, data engineering, and scalable architectures.

Responsibilities

  • Architect, develop, deploy, and maintain scalable AI/ML solutions for enterprise use cases.
  • Define end-to-end solution architectures spanning data ingestion, model selection, orchestration, APIs and governance.
  • Lead workshops, design reviews, and client demonstrations of AI architectures.
  • Design agentic workflows integrating with enterprise apps, databases, and APIs.
  • Implement human-in-the-loop controls and safeguards for high-risk actions.
  • Evaluate agent effectiveness using measurable KPIs.

Skills

Python
SQL
Cloud services
Databases
Big data
ML frameworks
LLM apps
Prompt engineering
Stakeholder collaboration

Tools

LangChain
LangGraph
LlamaIndex
Semantic Kernel
Docker
Kubernetes

Job description

NewRocket is hiring an experienced Agentic AI Architect to design and deploy enterprise AI solutions for a large global client. You will lead AI/ML architecture, generative AI engineering, data engineering, and cloud solution design, delivering scalable, secure AI systems with Claude integration and RAG-based workflows.

You will collaborate with stakeholders, NewRocket consultants, ServiceNow teams, data engineers, and AI/ML engineers to translate business needs into production-grade AI

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