AI Architect
Posted 1 week ago by TechNET IT Recruitment Ltd
Negotiable
Undetermined
Hybrid
London Area, United Kingdom
Summary: The AI Architect role involves designing and overseeing enterprise-grade AI solutions using Palantir Foundry within a large-scale AI and data transformation program. The position requires collaboration with various stakeholders to ensure scalable, secure, and production-ready solutions that provide measurable business value. The architect will also define architectural standards and maintain best practices while ensuring compliance with data privacy and ethical AI principles. This contract position is flexible and hybrid, depending on project needs.
Key Responsibilities:
- Design end-to-end AI and analytics architectures leveraging Palantir Foundry, including ML models, large-scale data pipelines (PySpark), and deployment patterns within the Foundry ecosystem.
- Define and maintain architectural standards, best practices, and governance for AI and data science solutions, with a strong focus on security, compliance, scalability, and maintainability.
- Evaluate and select appropriate AI, ML, and data technologies within Foundry and aligned cloud environments.
- Collaborate closely with data engineers, data scientists, software engineers, and product stakeholders to integrate commercial data sources and AI workflows.
- Oversee integration of AI models and analytics into enterprise systems using Foundry APIs and data connectors.
- Ensure robust data privacy, ethical AI principles, and regulatory considerations are embedded in all solutions.
- Review, troubleshoot, and optimise AI system performance, reliability, and data pipeline health.
- Stay up to date with advancements across AI, ML, data engineering, and the Foundry platform, driving continuous improvement.
Key Skills:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
- Proven experience as an AI Architect, ML Engineer, or similar, delivering production-grade AI solutions on Palantir Foundry.
- Strong expertise in PySpark, distributed data processing, and large-scale data pipelines.
- Deep understanding of AI/ML algorithms, model optimisation, and enterprise deployment patterns.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Solid knowledge of data engineering, security, compliance, and enterprise software architecture.
- Strong communication skills with the ability to engage both technical and non-technical stakeholders.
Salary (Rate): undetermined
City: London Area
Country: United Kingdom
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
AI Architect (Contract) Contract Length: 6 months Location: Flexible / Hybrid (dependent on project needs)
Overview TechNET IT has partnered with a leading global enterprise to deliver a large-scale AI and data transformation programme. We are seeking an experienced AI Architect to design and oversee enterprise-grade AI solutions built on Palantir Foundry, supporting advanced analytics and commercial data use cases. This role will play a key part in shaping AI architecture, ensuring scalable, secure, and production-ready solutions that deliver measurable business value.
Key Responsibilities
- Design end-to-end AI and analytics architectures leveraging Palantir Foundry, including ML models, large-scale data pipelines (PySpark), and deployment patterns within the Foundry ecosystem.
- Define and maintain architectural standards, best practices, and governance for AI and data science solutions, with a strong focus on security, compliance, scalability, and maintainability.
- Evaluate and select appropriate AI, ML, and data technologies within Foundry and aligned cloud environments.
- Collaborate closely with data engineers, data scientists, software engineers, and product stakeholders to integrate commercial data sources and AI workflows.
- Oversee integration of AI models and analytics into enterprise systems using Foundry APIs and data connectors.
- Ensure robust data privacy, ethical AI principles, and regulatory considerations are embedded in all solutions.
- Review, troubleshoot, and optimise AI system performance, reliability, and data pipeline health.
- Stay up to date with advancements across AI, ML, data engineering, and the Foundry platform, driving continuous improvement.
Required Skills & Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline.
- Proven experience as an AI Architect, ML Engineer, or similar, delivering production-grade AI solutions on Palantir Foundry.
- Strong expertise in PySpark, distributed data processing, and large-scale data pipelines.
- Deep understanding of AI/ML algorithms, model optimisation, and enterprise deployment patterns.
- Hands-on experience with cloud platforms (AWS, Azure, or GCP).
- Solid knowledge of data engineering, security, compliance, and enterprise software architecture.
- Strong communication skills with the ability to engage both technical and non-technical stakeholders.
Desirable Experience
- Experience delivering AI and advanced analytics solutions for complex commercial data environments.
- Knowledge of MLOps, CI/CD, DevOps, and automated model pipelines within Foundry or similar platforms.
- Familiarity with big data ecosystems such as Spark, Hadoop, and large-scale data integration.