AI Deployment Engineer: Scale Data Pipelines & Integrations

SmartStream; Bristol; Hybrid; GBP 70,000 - 90,000; Full time

Job summary

Smartstream in Bristol/London is seeking an AI Deployment Engineer who will own the data infrastructure for AI deployments, including pipelines, storage, and data serving. You will integrate AI solutions with CRM/ERP systems and build APIs and middleware.

The role requires strong Python and SQL, experience with orchestration tools and cloud platforms, and a focus on reliability and scale. This hybrid position offers in-office collaboration three days a week.

Qualifications

• Bachelor's degree in CS/Engineering or equivalent practical experience.

Responsibilities

• Own the data infrastructure underpinning AI deployments — pipelines, storage, and data serving.
• 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.

Skills

Python

SQL

REST APIs

Webhooks

OAuth

Event-driven

Airflow

Prefect

Dagster

AWS

GCP

Azure

Docker

Kubernetes

Microsoft 365

Copilot

Education

Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

Tools

Airflow

Prefect

Dagster

Docker

Kubernetes

dbt

UiPath

Power Automate

Job description

Smartstream in Bristol/London is seeking an AI Deployment Engineer who will own the data infrastructure for AI deployments, including pipelines, storage, and data serving. You will integrate AI solutions with CRM/ERP systems and build APIs and middleware.

The role requires strong Python and SQL, experience with orchestration tools and cloud platforms, and a focus on reliability and scale. This hybrid position offers in-office collaboration three days a week.