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AI Orchestration Engineer, Global Information Security (Vice President)
LondonSource: WhatJobs
See advert for pay
Overview
In this London-anchored senior role, you will design and operate AI-assisted automation services for Jefferies’ Global Information Security function, delivering production-grade AI workflows across security domains. You’ll own end-to-end automation supporting security operations and partner with pillar leads to scale AI across identity, access, network, cloud, and data protection. The role combines hands-on engineering with cross-region impact, shaping a global automation roadmap and guardrails. You will work with cross-functional teams to drive tangible improvements in efficiency, tempo, and security outcomes.
Responsibilities
Design, implement and run AI-assisted automation services as production offerings with testing, monitoring, alerts, and rollback
Deliver automation for security operations tasks such as alert triage, case summarisation, evidence collection, and threat analysis
Collaborate with pillar leads to deliver AI/automation across domains (identity, privileged access, network, data protection, vulnerability prioritisation)
Develop LLM and agent-based workflows integrated with SIEM, EDR, SOAR, IGA, PAM, CSPM, DLP, ticketing and threat intel platforms via APIs
Set the global AI Security and automation roadmap in partnership with senior leads and arbitrate demand across domains
Establish engineering standards for AI tooling, including prompt/tool definitions, permissions, and output validation
Build reusable platform components and patterns to scale capability across teams
Define and report metrics on efficiency, cycle time, quality and error rates
Mentor engineers in the Pune capability centre as automation scales
Ensure guardrails: least-privilege identities, human-in-the-loop, audit logging, and defense against prompt injection and tool poisoning
Key requirements
8+ years of professional software engineering with production ownership
Advanced Python (async, API integration, automated testing, CI/CD)
Production experience building LLM-backed or agentic systems (retrieval, tool calling, orchestration, evaluation)
Working knowledge of security operations tooling (SIEM, EDR, SOAR, case management, threat intel)
Familiarity with at least two security domains (IAM, privileged access, network/cloud security, data protection) and ability to learn new domains quickly
Cloud engineering experience (AWS or Azure), containerisation and infrastructure-as-code
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