At a Glance
- Tasks: Design and optimise AI-driven data pipelines for Salesforce Service Cloud.
- Company: Leading finance sector firm offering hybrid working.
- Benefits: Competitive market rate, flexible work environment, and professional growth.
- Other info: Collaborative culture with opportunities to work on innovative projects.
- Why this job: Join a dynamic team and shape the future of AI in finance.
- Qualifications: 5-10 years in Data/AI Engineering with strong Python and cloud experience.
The predicted salary is between 60000 - 80000 £ per year.
6-Month contract – Inside IR35 – market rate
London based – hybrid working – up to 3 days a week onsite
Finance sector - must have previous experience
Role Overview
Senior AI / Data Engineer responsible for designing, building, and optimizing AI-driven data pipelines and integrations to enable a QAS-powered response suggestion capability embedded in Salesforce Service Cloud. The role focuses on scalable data processing, LLM integration, and continuous model improvement using production telemetry.
Responsibilities
- Design and implement Salesforce QAS integration architecture
- Build and optimize data pipelines supporting AI inference and feedback loops
- Integrate LLM capabilities (Amazon Bedrock) for response generation and embeddings
- Ensure data reliability, scalability, and performance
- Work with structured and unstructured data sources: Microsoft Graph (SharePoint / Teams)
- Contribute to support: SIT/UAT phases, production readiness, hypercare and rollout to additional entities
Required Experience & Skills
Core
- 5–10 years of experience in Data Engineering / AI Engineering
- Strong experience in: Python / JVM-based backend development, REST APIs / microservices
- Experience with cloud-native architectures on AWS
Data & AI
- Hands-on with: data pipelines (batch + streaming), embeddings / retrieval architectures
- Experience using: Snowflake (data platform integration, CDC concepts)
AWS Stack
- S3, RDS, SQS, EventBridge
- Containerized workloads (EKS/ECS)
- Strong understanding of: distributed systems, performance optimization, observability (e.g. Langfuse, logging/metrics)
Nice-to-Have
- Experience with: Salesforce Service Cloud integrations
- NLP / GenAI applications in customer service
- Exposure to: Amplitude or product analytics tools
- Knowledge of regulated environments (banking / capital markets)
Soft Skills
- Ability to work in cross-functional distributed teams
- Clear communication with business and technical stakeholders
AI Application/Big Data Engineer in London employer: Advanced Resource Managers
As a leading player in the finance sector, our company offers an exceptional work environment that fosters innovation and collaboration. With a hybrid working model based in London, employees enjoy the flexibility of working up to three days a week onsite, alongside competitive market rates and a strong focus on professional development. We prioritise employee growth through continuous learning opportunities and a culture that values diverse perspectives, making us an attractive employer for those seeking meaningful and rewarding careers in AI and data engineering.
Contact Details:
Advanced Resource Managers Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI Application/Big Data Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the finance and AI sectors. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Show Off Your Skills
When you land that interview, be ready to showcase your expertise. Bring examples of your previous work, especially those related to data pipelines and AI integrations. Let’s make sure they see how you can add value right away!
✨Tailor Your Approach
Don’t just go in with a one-size-fits-all mindset. Research the company and its projects, especially around Salesforce Service Cloud and AI applications. Tailor your responses to show how your experience aligns perfectly with their needs.
✨Apply Through Us!
Remember, we’ve got your back! Apply through our website for the best chance at landing that role. We’re here to help you navigate the process and get your foot in the door.
We think you need these skills to ace AI Application/Big Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AI Application/Big Data Engineer role. Highlight your experience with data pipelines, LLM integration, and any relevant projects that showcase your skills in Python and AWS.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific experiences that align with the job description, especially around Salesforce integrations and data reliability.
Showcase Your Technical Skills:Don’t forget to list your technical skills clearly. We want to see your expertise in cloud-native architectures, REST APIs, and any experience with Snowflake or containerized workloads. Be specific!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Advanced Resource Managers
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, AWS, and data pipelines. Brush up on your knowledge of Salesforce Service Cloud integrations and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled challenges in data engineering or AI projects. Think about times when you optimised data pipelines or improved model performance, and be ready to explain your thought process and the impact of your solutions.
✨Understand the Finance Sector
Since this role is in the finance sector, it’s crucial to demonstrate your understanding of regulated environments. Familiarise yourself with common challenges in banking and capital markets, and be prepared to discuss how your experience aligns with these.
✨Communicate Clearly
You’ll need to work with both technical and business stakeholders, so practice explaining complex concepts in simple terms. During the interview, focus on clear communication and ensure you can articulate your ideas effectively, showcasing your ability to bridge the gap between tech and business.
