AI Application/Big Data Engineer

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 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