AI Orchestration Engineer, Global Information Security (Vice President)

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
• Secure development practices (secrets management, least-privilege identities, input validation, output encoding)
• Experience delivering across multiple time zones for distributed stakeholders

• autonomy and technical ownership
• strong collaboration across regional teams
• ability to balance competing domain demands
• Python (asynchronous), API integration, automated testing, CI/CD
• LLM-backed/agentic systems (retrieval, tool and function calling, orchestration)
• SIEM, EDR, SOAR, IGA, PAM, CSPM, DLP integration

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