At a Glance
- Tasks: Own the data infrastructure for AI deployments and ensure seamless integration with business systems.
- Company: Join a leading tech firm in Bristol/London with a hybrid work culture.
- Benefits: Competitive salary, excellent benefits, and opportunities for professional growth.
- Other info: Dynamic environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by deploying cutting-edge AI solutions at scale.
- Qualifications: 3-5 years in software or data engineering with strong Python and SQL skills.
The predicted salary is between 80000 - 130000 £ per year.
Location: Bristol/London - Hybrid, 3 days in the office
Salary: £80,000 - £130,000 p/a dependent on experience + excellent benefits
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.
Key duties & 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
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 & qualification:
- 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.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Application:
Please submit your CV along with a cover letter to bobo.cheung@smart.stream.
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.
AI Deployment Engineer in Bristol employer: SmartStream
Smartstream is an exceptional employer that fosters a collaborative and innovative work culture, ideal for professionals seeking to make a significant impact in the finance sector. With a strong emphasis on employee growth, Smartstream offers comprehensive training programs and career advancement opportunities, all while being located in a vibrant area that promotes work-life balance. Join us to be part of a forward-thinking team dedicated to excellence in revenue operations and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land AI Deployment Engineer in Bristol
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those involving Python, SQL, and cloud platforms. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to data pipelines and system integrations. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace AI Deployment Engineer in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights the skills and experiences that match the job description. We want to see how your background in Python, SQL, and system integrations aligns with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI deployment and how your experience makes you the perfect fit for our team. Keep it engaging and relevant!
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to mention them. We love seeing real-world applications of your skills, especially in building data pipelines or integrating systems.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves!
How to prepare for a job interview at SmartStream
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and cloud platforms. Brush up on your knowledge of REST APIs and orchestration tools like Airflow or Prefect. Being able to discuss these confidently will show that you're ready to hit the ground running.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled integration failures or data inconsistencies in the past. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will demonstrate your troubleshooting abilities and your commitment to reliability and data integrity.
✨Understand the Business Ecosystem
Familiarise yourself with how AI solutions integrate into business systems like CRMs and ERPs. Be ready to discuss how you would approach integrating AI tools into existing infrastructures. This shows that you understand the bigger picture and can contribute to the team’s goals.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI deployments and future plans. This not only shows your interest but also gives you a chance to assess if the company aligns with your career goals. Questions about their tech stack or challenges they face can spark engaging conversations.
