Ai application/big data engineer

Job Description

AI Application/Big Data Engineer

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 AWS

Data & 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 stakeholders

Disclaimer:

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.