Senior AI Engineer

Randstad Technologies Recruitment; City Of London; Remote; GBP 111,000 - 166,000; Full time

Job summary

Randstad Technologies Recruitment is seeking a Senior AI Engineer for a 3-month remote contract, working with a global financial institution to design, develop, and deploy production-grade Generative AI workflows and robust backend guardrails.

The role focuses on building GenAI and ML pipelines, integrating UI components, and ensuring data security across AWS/Azure-based infrastructure, with immediate start and UK/European time-zone alignment.

Qualifications

• 2-5 years' hands-on software/ML engineering experience delivering production AI solutions.
• Strong programming skills in Python (Java experience also accepted).
• Hands-on experience building GenAI applications, LLM workflows, and data pipelines.
• Cloud experience across AWS or Azure ecosystems along with data orchestration tools (e.g., Airflow).
• Practical understanding of AI safety, prompt injection handling, and PII/MNPI compliance guardrails.

Responsibilities

• AI Guardrails & Governance: Design and implement backend security guardrail capabilities to sanitize sensitive data (PII and MNPI) and prevent prompt injection risks in production LLM workflows.
• GenAI Workflows & Scalable Solutions: Build and deploy enterprise-level GenAI, ML, and deep learning solutions using Python or Java.
• Gen UI/UX & Frontend Integration: Design and implement user interfaces and frontends for AI guardrail requirements (~20-25% of the role).
• Cloud Infrastructure & Data Pipelines: Build with AWS and Azure services to construct ETL workflows and dynamic systems using orchestration platforms like Apache Airflow.
• Production Operations: Support production applications, maintain SLAs, and create continuous evaluation metrics for ML solution performance.

Skills

Python

GenAI development

Java

Data pipelines

Tools

Apache Airflow

AWS

Azure

Job description

Senior AI Engineer

Type: 3‑Month Contract (ASAP Start)

Location: Remote (UK or European time zone match)

My client, a leading global financial institution, is seeking a Senior AI Engineer to join the AI Centre of Excellence within their Emerging Technology Group. Working on core enterprise initiatives, you will design, develop, and deploy production-grade Generative AI workflows and build critical backend security guardrails across the organisation.

Key Responsibilities

• AI Guardrails & Governance: Design and implement backend security guardrail capabilities to sanitize sensitive data (PII and MNPI) and prevent prompt injection risks in production LLM workflows.


• GenAI Workflows & Scalable Solutions: Build and deploy enterprise-level GenAI, ML, and deep learning solutions using Python or Java.


• Gen UI/UX & Frontend Integration: Design and implement user interfaces and frontends for AI guardrail requirements (~20-25% of the role).


• Cloud Infrastructure & Data Pipelines: Build with AWS and Azure services to construct ETL workflows and dynamic systems using orchestration platforms like Apache Airflow.


• Production Operations: Support production applications, maintain SLAs, and create continuous evaluation metrics for ML solution performance.

Qualifications & Skills

• 2‑5 years' hands‑on software/ML engineering experience delivering production AI solutions (no PhD required).


• Strong programming skills in Python (Java experience also accepted).


• Hands‑on experience building GenAI applications, LLM workflows, and data pipelines.


• Cloud experience across AWS or Azure ecosystems along with data orchestration tools (e.g., Airflow).


• Practical understanding of AI safety, prompt injection handling, and PII/MNPI compliance guardrails.

If you have 2‑5 years' experience in ML/AI engineering, strong skills in Python, cloud environments, and AI guardrail security, alongside immediate availability