AI Governance Engineering Lead at Janus Henderson Investors | GB | Rezi

AI Governance Engineering Lead at Janus Henderson Investors

AI Governance Engineering Lead

Janus Henderson Investors · GB

5 days ago

AI Governance Engineering Lead

Janus Henderson Investors · GB

5 days ago
Resume preview

Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now
Resume preview

Tailor your resume to this AI Governance Engineering Lead role.

Rezi rewrites your resume against Janus Henderson Investors's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the AI Governance Engineering Lead posting at Janus Henderson Investors — free, in seconds.

About the Role

This engineering role is part of Janus Henderson's firm-wide AI transformation, focusing on building governance into the platform through code and design. You will translate requirements from risk, legal, privacy, and audit specialists into technical solutions for AI applications and enterprise datasets.

Responsibilities

  • Build governance into the platform by turning policies into reusable controls, policy-as-code, deployment gates, and secure defaults.
  • Create self-service governance patterns and templates for safe team building without repeated manual approvals.
  • Embed control checks and evidence capture into repositories, CI/CD pipelines, infrastructure-as-code, and deployment workflows.
  • Establish cost, usage, data-access, and model-access boundaries enforced by default.
  • Define a proportionate lifecycle for AI experiments, pilots, production AI products, model changes, and autonomous agents.
  • Engineer identity, access, and permissions for agents, models, tools, connectors, and service accounts.
  • Implement least privilege and entitlement models that hold across multiple systems.
  • Build approval and human-in-the-loop patterns for high-stakes actions, while keeping low-risk activity self-service.
  • Implement an auditable framework for agents and end-user-developed applications.
  • Build the evidence, telemetry, and evaluation layer to reconstruct AI interactions and monitor control failures.
  • Work with AI Engineering and AI Platforms to ensure consistent telemetry across the AI ecosystem.
  • Build evaluation and regression hooks into the release path with automated acceptance thresholds.
  • Design monitoring for control failures, model drift, anomalous use, permission breaches, and high-risk actions.
  • Build dashboards and evidence packs for service owners, Risk, Infosec, and Internal Audit.
  • Translate across domains by working with various specialists to understand needs and convert them into technical requirements.
  • Write specific standards and control requirements, and explain platform behavior to non-engineers.
  • Advise AI Architecture, AI Engineering, AI Platforms, and Forward Deployed Engineering on control design.
  • Support risk-based onboarding of new foundation models, AI software, and connectors.
  • Work alongside Percepta to transfer controls and operating knowledge into ownership.

Requirements

  • At least six years in software, platform, or security engineering with a track record of building and operating production systems.
  • Strong Python and SQL skills.
  • Hands-on ability with APIs, infrastructure as code, and CI/CD.
  • Real depth in identity and access management (authentication, authorization, RBAC, service principals, workload identity, secrets management, entitlement models, least privilege).
  • Practical understanding of technical controls (preventive, detective, secure defaults, deployment gates, evidence production).
  • Hands-on experience with a major cloud provider (ideally Azure), including logging, monitoring, and data-protection primitives.
  • Ability to work with stakeholders from non-technical domains (risk, legal, privacy, compliance, audit, security) and translate their needs into technical designs.
  • Practical knowledge of generative AI and agentic systems (foundation models, prompts, retrieval, tools, connectors, model gateways, autonomous workflows).
  • Judgement to distinguish control objectives from preferred implementations and apply proportionate controls based on risk.
  • Clear communication skills to write technical standards and explain platform behavior to non-engineers.

Skills

  • Python
  • SQL
  • APIs
  • Infrastructure as Code
  • CI/CD
  • Identity and Access Management
  • Authentication
  • Authorization
  • RBAC
  • Service Principals
  • Workload Identity
  • Secrets Management
  • Entitlement Models
  • Least Privilege
  • Preventive Controls
  • Detective Controls
  • Secure Defaults
  • Deployment Gates
  • Azure
  • Logging
  • Monitoring
  • Data Protection Primitives
  • Generative AI
  • Agentic Systems
  • Foundation Models
  • Prompts
  • Retrieval
  • Tools
  • Connectors
  • Model Gateways
  • Autonomous Workflows
  • Policy-as-code (Open Policy Agent, Rego)
  • Automated Evidence Pipelines
  • Compliance-as-code Pipelines
  • Entra ID
  • Microsoft Purview
  • DLP Policy Design
  • Data Classification
  • Microsoft 365
  • Governing Agents
  • Tool Execution
  • MCP Servers
  • Machine-to-Machine Interfaces
  • Internal Developer Platforms
  • Golden-path Patterns
  • Self-service Guardrails
  • Snowflake
  • Microsoft Fabric
  • OneLake
  • Governed Enterprise Data Access Patterns
  • Regulated Environments
  • Internal Audit
  • Independent Control Testing

Location

  • Hybrid

Work Type

  • Hybrid working

Experience Level

  • Senior individual-contributor
  • At least six years in software, platform, or security engineering

Salary/Compensations

  • Position may be eligible to receive an annual discretionary bonus award from the profit pool.

Benefits

  • Hybrid working and reasonable accommodations
  • Generous Holiday policies
  • Excellent Health and Wellbeing benefits including corporate membership to Wellhub
  • Paid volunteer time
  • Support to grow through professional development courses, tuition/qualification reimbursement and more
  • Maternal/paternal leave benefits and family services
  • All employee events including networking opportunities and social activities
  • Lunch allowance for use within our subsidized onsite canteen
  • Competitive compensation
  • Pension/retirement plans
  • Various health, wellbeing and lifestyle benefits

About the Company

  • A career at Janus Henderson is about investing in a brighter future together.
  • Our Mission at Janus Henderson is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service.
  • Our Values are key to driving our success: Clients Come First - Always | Execution Supersedes Intention | Together We Win | Diversity Improves Results | Truth Builds Trust.

Equal Opportunity

  • Janus Henderson Investors is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.
  • We believe diversity improves results and we welcome applications from candidates from all backgrounds.
  • If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com.