Lead AI Data & Integration Engineer

Salesforce, Inc.; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading CRM technology company seeks an experienced Agentic Data Specialist to connect advanced AI agents with enterprise technology. The role involves managing data flows, designing integration systems, and ensuring compliance with data governance standards. Candidates must have over 5 years of experience in data engineering, proficiency in programming languages, and expertise in API design. This position is integral for optimizing AI-driven workflows and enhancing enterprise performance. Candidates should be proactive and able to work independently in a dynamic environment.

Benefits

Career growth opportunities

Flexible working hours

Innovative work environment

Qualifications

• 5+ years of hands-on experience in data engineering or integrations.
• High proficiency in programming/scripting languages (e.g., Python, Java).
• Expertise in AI data integration for enterprise solutions.

Responsibilities

• Manage real-time data flow to and from the AI agent.
• Design and maintain AI data integration technologies.
• Define technical architecture for agent collaboration.

Skills

Data engineering experience

Programming/scripting (Python, Java, JavaScript)

AI data integration expertise

Salesforce data management knowledge

LLM knowledge

API design and development

Troubleshooting skills

Communication skills

Attention to detail

Tools

MuleSoft

REST APIs

SOAP

JSON

XML

Job description

A leading CRM technology company seeks an experienced Agentic Data Specialist to connect advanced AI agents with enterprise technology. The role involves managing data flows, designing integration systems, and ensuring compliance with data governance standards. Candidates must have over 5 years of experience in data engineering, proficiency in programming languages, and expertise in API design. This position is integral for optimizing AI-driven workflows and enhancing enterprise performance. Candidates should be proactive and able to work independently in a dynamic environment.