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About the Role

Global Information Security is building an internal engineering capability to apply generative AI and automation across the security function. This is a senior, hands-on engineering role supporting Security Operations Centre and wider security domains including identity, privileged access, network and cloud security, data protection, and vulnerability management. The position is London-anchored to provide global coverage across the APAC afternoon and Americas morning. We are looking for a software engineer who has shipped AI-backed systems in production and can own them as services.

Responsibilities

Design, build, and operate AI-assisted automation services across the security function, owning them as production services with testing, monitoring, alerting, error handling, and rollback.
Deliver automation supporting security operations, including alert triage and enrichment, case summarisation, evidence collection, detection tuning, threat intelligence synthesis, and repetitive investigative workflows.
Partner with pillar leads to deliver AI and automation capability across wider security domains, including access review and certification support, entitlement analysis and role mining, privileged session analysis and PAM onboarding, posture finding triage, firewall and segmentation rule rationalisation, configuration drift detection, data classification and DLP event triage, and vulnerability prioritisation and contextualisation.
Develop LLM and agent-based workflows integrated with SIEM, EDR, SOAR, IGA, PAM, CSPM, DLP, ticketing, and threat intelligence platforms via supported APIs.
Set the global AI Security and automation roadmap in partnership with the Head of Cyber Operations and pillar leads; arbitrate competing demand across domains and determine which workflows warrant automation.
Establish engineering standards for AI-assisted tooling across the security organisation in partnership with the Head of App & AI Security, covering prompt and tool-definition review, agent permission scoping, and output validation.
Engineer guardrails as a primary requirement: least-privilege service identities, human-in-the-loop checkpoints for consequential actions, full audit logging of agent decisions, and defences against prompt injection and tool-definition poisoning.
Build reusable platform components, shared integration patterns, evaluation harnesses, prompt and tool libraries so capability compounds across domains rather than being rebuilt for each team.
Define and report measures of effectiveness, including analyst and engineer time recovered, cycle time, and quality and error rates.
Mentor engineers in the Pune capability centre as automation delivery scales and document to a standard supportable by a follow-the-sun team.

Requirements

8+ years professional software engineering with production ownership.
Advanced Python, including asynchronous programming, API integration, automated testing, and CI/CD.
Demonstrated production experience building LLM-backed or agentic systems: retrieval, tool and function calling, orchestration, and evaluation or regression testing of non-deterministic outputs.
Working knowledge of security operations tooling and workflow — SIEM, EDR, SOAR, case management, threat intelligence.
Practical familiarity with at least two additional security domains from identity and access management, privileged access, network or cloud security, or data protection, with the demonstrated ability to learn new domains quickly.
Cloud engineering experience (AWS or Azure), containerisation, and infrastructure-as-code.
Secure development practice: secrets management, least-privilege service identity, input validation, output encoding.
Demonstrated delivery across multiple time zones for distributed stakeholders.
Financial services or comparable regulated industry experience, with working knowledge of audit, evidence, and change-control requirements.
Familiarity with agentic AI failure modes - prompt injection, tool poisoning, excessive agency - and current mitigations.
Detection engineering exposure: detection-as-code, Sigma, MITRE ATT&CK mapping.
Hands-on experience with enterprise IGA, PAM, or CSPM platforms.
Experience transitioning vendor-managed automation to internally owned capability.
Open-source contribution, published research, or conference speaking.
Operate with significant autonomy, translating problem statements into delivered capability without a pre-defined backlog.
Hold technical authority across regional teams and pillar leads.
Balance competing demand from multiple security domains.
Make and defend judgments about where AI is and is not appropriate in a security workflow.

Skills

Generative AI
Automation
Python
Asynchronous programming
API integration
Automated testing
CI/CD
LLM-backed systems
Agentic systems
Retrieval
Tool calling
Function calling
Orchestration
Evaluation
Regression testing
SIEM
EDR
SOAR
Case management
Threat intelligence
Identity and access management
Privileged access
Network security
Cloud security
Data protection
AWS
Azure
Containerisation
Infrastructure-as-code
Secure development
Secrets management
Least-privilege service identity
Input validation
Output encoding
Prompt injection
Tool poisoning
Detection engineering
Detection-as-code
Sigma
MITRE ATT&CK
IGA
PAM
CSPM

Location

London

Work Type

Full-time

Experience Level

Senior
8+ years professional software engineering

About the Company

Jefferies, the global investment banking firm, has served companies and investors for almost 60 years.
Headquartered in New York with its European head office in London, the firm provides clients with capital markets and financial advisory services, institutional brokerage and securities research, and asset management.
Jefferies provides research and execution services in equity, fixed income, foreign exchange, and a full range of investment banking services including underwriting, merger & acquisition, restructuring and recapitalisation and other advisory services, with businesses operating in the Americas, Europe and Asia.
Jefferies is a leading global, full-service investment banking and capital markets firm that provides advisory, sales and trading, research, and wealth and asset management services.
With more than 40 offices around the world, we offer insights and expertise to investors, companies, and governments.
At Jefferies, we believe that diversity fosters creativity, innovation and thought leadership through the infusion of new ideas and perspectives.
We have made a commitment to building a culture that provides opportunities for all employees regardless of our differences and supports a workforce that is reflective of the communities where we work and live.
As a result, we are able to pool our collective insights and intelligence to provide fresh and innovative thinking for our clients.

Equal Opportunity

Jefferies is an equal employment opportunity employer, and takes affirmative action to ensure that all qualified applicants will receive consideration for employment without regard to race, creed, color, national origin, ancestry, religion, gender, pregnancy, age, physical or mental disability, marital status, sexual orientation, gender identity or expression, veteran or military status, genetic information, reproductive health decisions, or any other factor protected by applicable law.
We are committed to hiring the most qualified applicants and complying with all federal, state, and local equal employment opportunity laws.
As part of this commitment, Jefferies will extend reasonable accommodations to individuals with disabilities, as required by applicable law.