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, 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, containerised workloads (EKS/ECS) and engineering practices
• Strong understanding of distributed systems, performance optimisation, observability (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

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