Senior AI Solutions Engineer: Enterprise Agent AI Architect

Randstad Technologies Recruitment; City Of London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Randstad Technologies Recruitment is seeking a technical lead to architect and drive the organization’s enterprise AI roadmap. You will transition teams to automated pipelines, production-grade AI agents, and agentified dashboards, delivering scalable, compliant AI solutions.

You will lead the design of reusable AI foundations, guide cross-functional teams, and mentor engineers in MLOps, CI/CD, and observability. A Master’s/PhD in CS/AI is preferred, with strong Python and cloud skills.

Qualifications

• 4+ years in software, data, or ML engineering with 2+ years building production LLM apps, RAG, or autonomous agents.
• Expert-level production Python (FastAPI, Pydantic, asyncio, pytest, packaging).
• Hands-on experience with agent frameworks (LangGraph, AutoGen, CrewAI or native SDKs).
• Advanced SQL and cloud data warehouse proficiency (Snowflake preferred); Docker, Git, CI/CD, AWS deployment.

Responsibilities

• Design scalable enterprise AI architectures and multi-agent frameworks.
• Build and deploy agents with tool calling, structured outputs, and autonomous coordination.
• Develop interactive dashboards over portfolio, resourcing, and operational metrics (R Shiny or Python).
• Build and govern reusable AI skills, connectors, and evaluation benchmarks.
• Partner with Quality & Compliance to establish validation pathways and audit trails.
• Establish CI/CD, testing, containerization, and observability standards; mentor engineers.

Skills

Cross-functional communication

Production ML engineering

Python development

Data & cloud skills

Education

Advanced degree in CS/AI or quantitative field

Tools

Python

SQL

Snowflake

Docker

Git

CI/CD

AWS

R Shiny

Job description

Randstad Technologies Recruitment is seeking a technical lead to architect and drive the organization’s enterprise AI roadmap. You will transition teams to automated pipelines, production-grade AI agents, and agentified dashboards, delivering scalable, compliant AI solutions.

You will lead the design of reusable AI foundations, guide cross-functional teams, and mentor engineers in MLOps, CI/CD, and observability. A Master’s/PhD in CS/AI is preferred, with strong Python and cloud skills.