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AI Application/Big Data Engineer
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AI Application/Big Data Engineer6-Month contract - Inside IR35 - market rateLondon based - hybrid working - up to 3 days a week onsiteFinance sector - must have previous experienceRole OverviewSenior
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AI Application/Big Data Engineer
- London, England, United Kingdom
- London, England, United Kingdom
Über
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 Develop backend services / APIs enabling response suggestion workflows Integrate LLM capabilities (Amazon Bedrock) for response generation and embeddings Enable continuous model tuning via: telemetry data quality scoring usage analytics Work with structured and unstructured data sources: Microsoft Graph (SharePoint / Teams) Implement asynchronous processing pipelines (SQS, EventBridge) Ensure data reliability, scalability, and performance Contribute to: design documentation runbooks technical decision-making 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 AWSData & AI
Hands-on with: Amazon Bedrock (or equivalent LLM platforms) data pipelines (batch + streaming) embeddings / retrieval architectures Experience using: Snowflake (data platform integration, CDC concepts) PostgreSQL (RDS)AWS Stack
S3, RDS, SQS, EventBridge Containerized workloads (EKS/ECS)Engineering Practices
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 Strong ownership mindset (design → production) Clear communication with business and technical stakeholdersDisclaimer:
This vacancy is being advertised by either Advanced Resource Managers Limited, Advanced Resource Managers IT Limited or Advanced Resource Managers Engineering Limited ("ARM"). ARM is a specialist talent acquisition and management consultancy. We provide technical contingency recruitment and a portfolio of more complex resource solutions. Our specialist recruitment divisions cover the entire technical arena, including some of the most economically and strategically important industries in the UK and the world today. We will never send your CV without your permission. Where the role is marked as Outside IR35 in the advertisement this is subject to receipt of a final Status Determination Statement from the end Client and may be subject to change
Sprachkenntnisse
- English
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