Generative AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Generative AI Engineer with a contract length of "X months," offering a pay rate of "$X per hour." Key skills required include expertise in AI, ML, data pipelines, and security risk management, with experience in enterprise platforms like SAP and Salesforce.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Cambridge, England, United Kingdom
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🧠 - Skills detailed
#Strategy #Observability #Forecasting #Automation #SAP #Databricks #ML (Machine Learning) #Compliance #Data Lineage #AI (Artificial Intelligence) #API (Application Programming Interface) #Data Pipeline #Security #NLP (Natural Language Processing)
Role description
Job Description
• Agent Design & Delivery: Architect and implement production-ready AI agents that integrate with enterprise platforms (SAP, Salesforce, ServiceNow, CI/CD, Databricks), with human-in-the-loop controls, observability, and auditability.
• Hybrid Skillset: Strong grounding in traditional machine learning and data workflows (forecasting, scoring models, risk detection, NLP etc) alongside Gen AI/LLM-based architectures. Able to select the right approach (ML vs LLM vs hybrid) for each problem. Expertise across RAG also, and experience with RPA/automation for understanding/awareness.
• Security & Risk by Design:
• Deep understanding of Gen AI risks, including prompt injection, data leakage, model misuse, and adversarial attacks.
• Build transparent, auditable solutions with traceability of agent decisions and data lineage.
• Apply threat modelling and compliance thinking from the start, not as an afterthought.
• Enterprise Engineering: Hands on experience in building data pipelines, secure API integrations, and scaling MVPs into stable, reusable services.
• Translational Ability: Can communicate effectively across technical and business domains, ensuring solutions align to ROI and strategy.
Job Description
• Agent Design & Delivery: Architect and implement production-ready AI agents that integrate with enterprise platforms (SAP, Salesforce, ServiceNow, CI/CD, Databricks), with human-in-the-loop controls, observability, and auditability.
• Hybrid Skillset: Strong grounding in traditional machine learning and data workflows (forecasting, scoring models, risk detection, NLP etc) alongside Gen AI/LLM-based architectures. Able to select the right approach (ML vs LLM vs hybrid) for each problem. Expertise across RAG also, and experience with RPA/automation for understanding/awareness.
• Security & Risk by Design:
• Deep understanding of Gen AI risks, including prompt injection, data leakage, model misuse, and adversarial attacks.
• Build transparent, auditable solutions with traceability of agent decisions and data lineage.
• Apply threat modelling and compliance thinking from the start, not as an afterthought.
• Enterprise Engineering: Hands on experience in building data pipelines, secure API integrations, and scaling MVPs into stable, reusable services.
• Translational Ability: Can communicate effectively across technical and business domains, ensuring solutions align to ROI and strategy.
