At a Glance
- Tasks: Own the data infrastructure for AI deployments and ensure seamless integration with business systems.
- Company: Join a forward-thinking tech company in Bristol/London with a hybrid work model.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Dynamic team environment with a commitment to equality and diversity.
- Why this job: Make a real impact by building reliable AI solutions that drive innovation.
- Qualifications: 3-5 years in software or data engineering with strong Python and SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
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, Saa S 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 (Ui Path, 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 (Ui Path, 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 — Saa S 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.
#J-18808-Ljbffr
AI Deployment Engineer in Bristol employer: SmartStream
At Smartstream, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid model in vibrant Bristol or London allows for flexibility while providing ample opportunities for professional growth in the rapidly evolving field of AI deployment. With a commitment to equality and a focus on employee development, we ensure that our team members are equipped with the tools and support they need to thrive in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer in Bristol
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at SmartStream or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to SmartStream.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like SmartStream.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like SmartStream that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace AI Deployment Engineer in Bristol
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SmartStream.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at SmartStream and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at SmartStream
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If SmartStream uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
