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# AI Deployment Engineer

- **Company:** Bradley Stoke
- **Location:** Bradley Stoke, UK
- **Salary:** £130,000.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Business Systems, Software as a Service, Encodings, Information Engineering, Data Integrity, Data Transformation, Software Debugging, Middleware, Python (Programming Language), OAuth, Operational Databases, Productivity Software, Standard Sql, Software Deployment, Data Streaming, Systems Integration, Workflow Management Systems, Data Logging, Microsoft Power Automate, Event Driven Architecture, Containerization, Uipath, Kubernetes, Information Technology, Apache Flink, Deployment Automation, Apache Kafka, Restful APIs, Data Inconsistencies, Webhooks, Data Pipelines, Docker, Web Api
- **Published:** September 24, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/ai-deployment-engineer/48037490

## About the Role

Cowork, or Claude Skills Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate). Experience 35 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks, OAuth, and event-driven architectures. Experience with orchestration tools (Airflow, Prefect, or Dagster) and transformation frameworks (dbt or similar). Comfortable across cloud platforms (AWS, GCP, or Azure) and with containerisation (Docker, Kubernetes). Experience connecting disparate business systems SaaS platforms, internal databases, and third-party APIs and making them work reliably. Strong debugging instincts and a high bar for reliability and data integrity. Comfortable with Microsoft 365 and Microsoft Copilot. Familiarity with AI
productivity tools including Claude Code, Claude Cowork, and Claude Skills is a plus. Qualifications Bachelor's degree in Computer Science, Engineering, or equivalent practical experienceJBRP1_UKTJ

## Description

Integrate AI solutions into the existing business ecosystem: CRMs, ERPs, SaaS tools, and internal systems Build and maintain APIs, webhooks, and middleware that allow AI agents to interact with business systems Take Strategist-built prototypes to production-grade hardening, scaling, and ensuring reliability Set up monitoring, logging, and alerting across deployed pipelines and agent infrastructure Manage data models, schemas, and storage supporting current and future AI deployments Troubleshoot integration failures, data inconsistencies, and production issues Key Skills Python & SQL (production-grade pipeline development) REST APIs, webhooks, OAuth, event-driven architecture Orchestration tools: Airflow, Prefect, or Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka, Flink) RPA tooling (UiPath, Power Automate) dbt for data transformation Claude Code, Claude


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