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About the Role

Janus Henderson is undergoing an AI transformation, aiming to become the most technologically advanced asset manager. The AI Engineering team builds, governs, and runs the software, including enterprise products like Nexus and Accio, and underlying services. As a Senior Applied AI Engineer, you will lead the delivery of major parts of this estate, designing and building agentic applications and platform services, taking them through evaluation and governance into production, and owning them post-launch. You will also build targeted business applications, focusing initially on decommissioning SaaS for Distribution and later expanding to other areas like trading and client servicing.

Responsibilities

Design, build, and productionize AI products and shared platform services, owning workstreams end-to-end.
Build for reuse, transforming proven capabilities into shared components, libraries, skills, tools, MCP servers, and connectors.
Implement infrastructure as code, own CI/CD pipelines, and ensure services have clear ownership, controls, and support before release.
Investigate incidents and defects, lead recovery, address root causes, and act as L3 escalation.
Build agentic applications and workflows, including agent design, prompt and context engineering, tool use, memory, retrieval, and human-in-the-loop controls.
Implement model selection, routing, and fallback through the model gateway.
Build the orchestration layer for long-running and multi-step agents.
Test new models, frameworks, and patterns before recommending adoption.
Build governed, AI-ready views, indexes, semantic context, and connectors over various data sources.
Extend Accio to make new datasets and downstream MCP servers accessible through a single governed interface.
Build ingestion pipelines and data models where source data is not usable, maintaining canonical source ownership.
Own lineage, quality, and freshness for data products and implement least-privilege access.
Own the end-to-end build of targeted business applications on the AI stack, starting with Distribution.
Drive SaaS decommissioning by replacing bought subscriptions with in-house builds.
Prioritize builds offering more control, lower cost, or unique capability, reusing existing AI assets.
Build evaluation and regression suites for models, prompts, agents, and platform changes.
Instrument built components for quality, safety, reliability, latency, drift, usage, and cost.
Implement AI Governance and AI Security controls as code.
Produce release evidence proportionate to risk.
Collaborate with Percepta engineers on joint work, adhering to engineering standards.
Mentor AI Engineers through pairing, design discussions, and code reviews.
Help establish the team’s engineering standards, agentic SDLC, and definition of done.
Translate reference patterns into implementations with AI Architecture.
Partner with Forward Deployed Engineering to transition proven solutions to shared capability.
Incorporate adoption data from AI Enablement Partners into the backlog.

Requirements

At least six years in software, data, or platform engineering with a track record of shipping and operating production systems.
Production experience with LLM applications and agentic systems, including prompt and context engineering, agent development, retrieval, tool use, evaluation, and deployment at scale.
Strong Python and SQL skills, with the ability to write maintainable and extensible code.
Hands-on experience building agentic capability such as MCP servers, tools, skills, or connectors.
Hands-on experience with a major cloud provider (ideally Azure), including containers or serverless compute, infrastructure as code, CI/CD, identity, RBAC, and secret management.
Experience owning services in production, including monitoring, incident investigation, upgrades, and lifecycle management.
Experience establishing evaluation and observability for AI systems.
Good judgment in a regulated environment, translating security, privacy, risk, and audit requirements into technical controls.
Experience mentoring engineers and leading technical work without direct authority.
Clear communication with engineers, control functions, and business stakeholders.

Skills

Python
SQL
LLMs
Agent frameworks
MCP
Azure AI Foundry
Snowflake
Microsoft Fabric
Azure
Terraform
Docker
CI/CD
Prompt engineering
Context engineering
Agent development
Retrieval
Tool use
Evaluation
Deployment at scale
Infrastructure as code
Monitoring
Incident investigation
Upgrades
Lifecycle management
Observability
Security controls
Privacy controls
Risk controls
Audit controls
Mentoring
Technical leadership
Communication

Location

Hybrid

Work Type

Hybrid working

Experience Level

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

Salary/Compensations

Annual Bonus Opportunity: 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
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 more than a job, it’s 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, and are at the heart of everything we do: 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.
We understand everyone has different commitments and while we can’t accommodate every flexible working request we’re happy to be asked about work flexibility and our hybrid working environment.
If you need any reasonable accommodations during our recruitment process, please get in touch and let us know at recruiter@janushenderson.com.