AI Architect (Contract) UK Remote | Outside IR35 | £400/day |
Posted Today by 9NEXUS
£400 Per day
Outside
Remote
United Kingdom
Summary: The AI Architect role involves designing and overseeing scalable AI solutions on Palantir Foundry, focusing on integrating machine learning, PySpark pipelines, and enterprise data workflows. The position requires ensuring secure and compliant AI architectures that align with business needs while collaborating with various teams for seamless data integration. The architect will also troubleshoot issues and stay updated on advancements in AI/ML and Foundry.
Key Responsibilities:
- Architect end-to-end AI solutions on Foundry, including ML models, PySpark pipelines, and deployment workflows.
- Select and evaluate ML, data, and platform components within Foundry and cloud ecosystems.
- Establish AI architecture standards, security, governance, and best practices on Foundry.
- Collaborate with data engineers, data scientists, and product teams for seamless commercial data integration.
- Integrate AI workflows with business systems using Foundry APIs and connectors.
- Ensure data privacy, compliance, and reliability across Foundry-based solutions.
- Troubleshoot architectural issues, pipeline performance, and model reliability.
- Stay updated on AI/ML and Foundry advancements and drive adoption.
Key Skills:
- Bachelor’s/Master’s in CS, Engineering, or related field.
- Experience as an AI Architect or ML Engineer working with Foundry, PySpark, and cloud big data platforms.
- Strong knowledge of AI/ML algorithms, optimization, and enterprise deployment.
- Expertise in cloud environments (AWS/Azure/GCP), distributed processing (PySpark), and ML frameworks (TensorFlow, PyTorch, MLlib).
- Solid understanding of data engineering, security, governance, and software architecture on Foundry.
- Strong communication and problem-solving skills.
- Preferred experience with AI/analytics for pharma or commercial data on Foundry.
- Knowledge of MLOps, DevOps, CI/CD, and automated pipelines.
- Familiarity with big data tools (Spark, Hadoop) and commercial data integrations.
Salary (Rate): £400/day
City: undetermined
Country: United Kingdom
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
We are seeking an AI Architect to design and oversee scalable AI solutions on Palantir Foundry , integrating machine learning, PySpark pipelines, and enterprise data workflows. The role ensures secure, compliant, and high-performance AI architectures aligned with business needs.
Key Responsibilities
- Architect end-to-end AI solutions on Foundry , including ML models, PySpark pipelines, and deployment workflows.
- Select and evaluate ML, data, and platform components within Foundry and cloud ecosystems.
- Establish AI architecture standards , security, governance, and best practices on Foundry.
- Collaborate with data engineers, data scientists, and product teams for seamless commercial data integration.
- Integrate AI workflows with business systems using Foundry APIs and connectors.
- Ensure data privacy, compliance, and reliability across Foundry-based solutions.
- Troubleshoot architectural issues, pipeline performance, and model reliability.
- Stay updated on AI/ML and Foundry advancements and drive adoption.
Qualifications
- Bachelor’s/Master’s in CS, Engineering, or related field.
- Experience as an AI Architect or ML Engineer working with Foundry, PySpark , and cloud big data platforms.
- Strong knowledge of AI/ML algorithms, optimization, and enterprise deployment.
- Expertise in cloud environments (AWS/Azure/GCP), distributed processing (PySpark), and ML frameworks (TensorFlow, PyTorch, MLlib).
- Solid understanding of data engineering, security, governance, and software architecture on Foundry.
- Strong communication and problem-solving skills.
- Preferred Experience with AI/analytics for pharma or commercial data on Foundry.
- Knowledge of MLOps, DevOps, CI/CD , and automated pipelines.
- Familiarity with big data tools (Spark, Hadoop) and commercial data integrations.