AI Deployment Engineer

SmartStream; Bristol; On-site; 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

Location: Bristol/London - Hybrid, 3 days in the office
The deep technical engine behind our internal AI deployment team. Where the AI Deployment Strategist scopes and builds agents, you own the infrastructure underneath — data pipelines, system integrations, and everything that ensures deployed AI solutions work reliably at scale.
You will take prototypes to production, ensure all business systems communicate correctly, and build the technical backbone that our AI tooling depends on.

Job 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

• 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 Cowork, or Claude Skills
• Experience with vector databases, real-time streaming (Kafka, Flink), or RPA tooling (UiPath, Power Automate).

Qualifications

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

Experience

• 3–5 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.

Equality Statement

Smartstream is an equal opportunities employer. We are committed to promoting equality of opportunity and following practices which are free from unfair and unlawful discrimination.