AI Deployment Engineer

Emponics; Almondsbury; Hybrid; GBP 80,000 - 130,000; Full time

Job summary

Emponics is seeking an AI Deployment Engineer for a global fintech client. The role is based in Bristol or London with hybrid work and roughly three days in the office. You will own data pipelines, system integrations and the production backbone for AI deployments, turning prototypes into scalable production solutions.

Ideal candidates have strong Python/SQL, REST APIs, cloud platforms, and experience building robust, production-grade data infrastructures across diverse business systems.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/engineering.
• Strong Python and SQL for production-grade data pipelines.
• Experience with REST APIs, webhooks, OAuth and event-driven architectures.
• Familiarity with cloud platforms and containerization (AWS/GCP/Azure, Docker, Kubernetes).

Responsibilities

• Own the data infrastructure underpinning AI deployments—pipelines, storage, data serving.
• Integrate AI solutions into CRMs, ERPs, SaaS and internal systems.
• Build and maintain APIs, webhooks and middleware for AI agents.
• Take prototypes to production with reliability and scalability.
• Set up monitoring, logging and alerting across pipelines and infrastructure.
• Troubleshoot data/integration issues to ensure data integrity.

Skills

Python

SQL

REST APIs

Webhooks

OAuth

Event-driven

Airflow

Prefect

Dagster

AWS

GCP

Azure

Docker

Kubernetes

Microsoft 365

Copilot

Vector databases

Kafka

Flink

UiPath

Power Automate

Claude Code

Claude Cowork

Claude Skills

Education

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

Tools

Airflow

Prefect

Dagster

AWS

GCP

Azure

Docker

Kubernetes

Microsoft 365

Copilot

Claude Code

Claude Cowork

Claude Skills

Job description

Our client is a Global FinTech with offices around the world inc Bristol and London in the UK .

This AI Deployment Engineer role can be based out of Bristol or London offices.

Ideally 3 days per week in the office but could be a little bit more flexible for the ideal candidate.

• AI Deployment Engineer
• Location: Bristol or London - Hybrid, 3 days in the office
• Salary: £80,000 - £130,000 p/a dependent on experience + excellent benefits

You will be the deep technical engine behind their 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

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

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.

Qualifications

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

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
• 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).

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
• 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).

London bristol bristol london fintech finance bank artificial intelligence artificial intelligence