Impress employers and recruiters.
Choose from hundreds of resume examples.
Impress employers and recruiters.
Choose from hundreds of resume examples.
Target Resume Now
Tailor your resume to this AI Governance Engineering Lead role.
Rezi rewrites your resume against Janus Henderson's job description. Free.
Tailor your resume to this AI Governance Engineering Lead role.
Rezi rewrites your resume against Janus Henderson's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the AI Governance Engineering Lead posting at Janus Henderson — free, in seconds.
Don't guess if your resume is good enough.
See how it scores against the AI Governance Engineering Lead posting at Janus Henderson — 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. You will translate requirements from risk, legal, and other specialists into technical designs and implement controls for AI applications, agents, and 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 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 for AI workloads.
- Work with AI Engineering and AI Platforms to ensure consistent telemetry.
- Build evaluation and regression hooks into the release path with 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 and work across the firm by understanding needs and converting 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.
- Coach engineers on governance controls.
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: authentication, authorisation, RBAC, service principals and workload identity, secrets management, entitlement models, and least privilege.
- Practical understanding of technical controls (preventive and detective), secure defaults, deployment gates, and evidence production.
- Hands-on experience with a major cloud, ideally Azure, including logging, monitoring, and data-protection primitives.
- Ability to work with stakeholders from non-technical domains, understand their needs, and translate them into technical designs.
- Practical knowledge of generative AI and agentic systems: foundation models, prompts, retrieval, tools, connectors, model gateways, and autonomous workflows.
- Judgement to distinguish control objectives from preferred implementations and apply proportionate controls based on actual risk.
- Clear communication skills to write technical standards and explain platform behavior.
- Experience with policy-as-code tooling such as Open Policy Agent or Rego (nice to have).
- Experience with automated evidence or compliance-as-code pipelines (nice to have).
- Experience with Entra ID, Microsoft Purview, DLP policy design, or data classification across a Microsoft 365 estate (nice to have).
- Experience securing or governing agents, tool execution, MCP servers, or other machine-to-machine interfaces (nice to have).
- Experience building internal developer platforms, golden-path patterns, or self-service guardrails (nice to have).
- Experience with Snowflake, Microsoft Fabric / OneLake, and governed enterprise data access patterns (nice to have).
- Exposure to a regulated environment, or to Internal Audit and independent control testing (nice to have).
- Willingness to adhere to the firm's Investment Advisory Code of Ethics.
- Understanding of regulatory obligations and adherence to regulated entity requirements and JHI policies.
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
- Cloud Computing (Azure preferred)
- Logging
- Monitoring
- Data Protection
- Generative AI
- Agentic Systems
- Foundation Models
- Prompts
- Retrieval Augmented Generation (RAG)
- Tools Integration
- Connectors
- Model Gateways
- Autonomous Workflows
- Policy as Code (Open Policy Agent, Rego)
- Automated Evidence
- Compliance as Code
- Entra ID
- Microsoft Purview
- DLP Policy Design
- Data Classification
- Microsoft 365
- Machine-to-Machine Interfaces
- Internal Developer Platforms
- Golden Path Patterns
- Self-Service Guardrails
- Snowflake
- Microsoft Fabric
- OneLake
- Enterprise Data Access Patterns
- Regulated Environments
- Internal Audit
- Control Testing
- Communication
- Technical Writing
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 is to help clients define and achieve superior financial outcomes through differentiated insights, disciplined investments, and world-class service.
- Our Values are 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.
- Don’t worry if you don’t think you tick every box, we still want to hear from you!