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About the Role

This is a hands-on engineering leadership role focused on building and leading a team that develops AI solutions. You will be the most senior engineer in the Forward Deployed Engineering team, reporting to the Head of AI Technology. The role involves setting the technical bar, owning team deliverables, and ensuring solutions reach production and remain healthy, while also contributing to the firm-wide AI transformation.

Responsibilities

Lead the team and own its deliverables
Line-manage Forward Deployed Engineers as the team grows: hiring, onboarding, objectives, development, and performance
Own the team’s deliverables and outputs — what is committed, what is delivered, to what standard, and by when
Allocate people and effort across the demand pipeline, and be the person who says no, not yet, or not like that
Hold the engineering bar through design and code review, and grow engineers into owning engagements themselves
Report progress, risk, and capacity to the Head of AI Technology and to business stakeholders honestly, including when delivery is off track
Design, build, and productionise bespoke, higher-complexity AI solutions yourself, taking the hardest and least-defined engagements personally
Own the architecture and design decisions for the team’s solutions, keeping them secure, scalable, and aligned to the enterprise core stack
Take solutions through evaluation, observability, and our AI governance checkpoints, and keep them healthy afterwards
Form part of the AI Technical Leadership Team, and build an AI Technology roadmap that lines up with the JHI strategic roadmap
Work across the AI technology remits — AI Platforms, AI Architecture, AI Engineering, and AI Governance Implementation — owning the Forward Deployed Engineering deliverables and keeping them aligned to enterprise architecture
Contribute to AI technology strategy, standards, and buy-versus-build, and to the investment recommendations and backlog that follow
Review new models, tools, and vendors and determine their feasibility here, weighing cost, licensing, security, supportability, and vendor viability alongside capability, and documenting the recommendation — including the recommendation not to adopt
Sit with business users and hold the relationship senior enough that the team is invited into problems early rather than handed finished requirements
Partner with the AI Enablement Partners on escalated demand, and set realistic expectations with senior stakeholders
Build advanced investment capability on Nexus, our agentic workspace, taking models and signals from one desk into a supported, firm-wide capability, and lead the build-out of citizen developer workflows through to production
Expose data and capability through Accio, our centralised MCP server, and as skills, tools, and connectors on Nexus, building reusable components rather than one-off integrations
Co-build enterprise core-stack deliverables with Percepta and AI Engineering, and represent Forward Deployed Engineering in architecture and design authority forums

Requirements

At minimum eight years in technical, business-facing engineering roles — forward deployed engineering, solutions engineering, consulting-side software engineering, or engineering embedded in a business unit — including time as the most senior engineer on the work
Experience leading engineers as a line manager, tech lead, or founder
Strong Python and SQL, and a track record of shipping production applications, with hands-on delivery recent enough to still be real
Production experience with LLMs — prompt and context engineering, agent development, evaluation, deployment at scale — including agentic capability such as MCP servers, tools, or connectors
Experience building data pipelines from APIs and enterprise systems
Working knowledge of a major cloud, ideally Azure, with CI/CD, containers, and infrastructure as code
Experience owning a technical roadmap, and judgement on technology selection — you can evaluate a new tool, model, or vendor, test it properly, and defend the recommendation
Excellent stakeholder skills, credibility with senior audiences, and the ability to influence without direct authority
High agency, genuine interest in the business problem, and willingness to move from building towards leading as the team grows
Experience in a regulated environment where governance, compliance, and data sensitivity shape how solutions are built
Experience standing up a new engineering team or function from scratch, including hiring and defining how it works
Asset management or financial services domain knowledge, particularly the investment process, front office workflows, or fixed income
Quantitative investment concepts such as fair value, relative value, signal generation, or portfolio construction
Snowflake, Microsoft Fabric / OneLake, Azure AI Foundry, model gateways, or AI observability in production
Vendor selection, commercial negotiation, or licensing at enterprise scale, or contributing to architecture and technology governance forums
Willingness to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements
Understanding of the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role

Skills

Python
SQL
LLMs
Prompt Engineering
Context Engineering
Agent Development
Evaluation
Deployment at Scale
Agentic Capability
MCP Servers
Tools
Connectors
Data Pipelines
APIs
Enterprise Systems
Azure
CI/CD
Containers
Infrastructure as Code
Technology Selection
Stakeholder Management
Cloud
AI Transformation
AI Platforms
AI Architecture
AI Engineering
AI Governance Implementation
AI Technology Roadmap
AI Enablement
Nexus
Agentic Workspace
Citizen Developer Workflows
Accio
MCP Server
Enterprise Core Stack
Percepta
AI Engineering
Architecture and Design Forums
Snowflake
Microsoft Fabric
OneLake
Azure AI Foundry
Model Gateways
AI Observability
Vendor Selection
Commercial Negotiation
Licensing
Investment Advisory Code of Ethics
Regulatory Obligations

Location

Hybrid

Work Type

Hybrid working

Experience Level

Principal
Senior Engineer
Lead

Salary/Compensations

Position may be eligible to receive an annual discretionary bonus award from the profit pool. The profit pool is funded based on Company profits. Individual bonuses are determined based on Company, department, team and individual performance.

Benefits

Competitive compensation
Pension/retirement plans
Various health, wellbeing and lifestyle benefits
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

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
Janus Henderson is undertaking a firm-wide AI transformation to become the technologically sophisticated asset manager in the industry.
Forward Deployed Engineering is the part of the AI capability that embeds with the business and builds what business units cannot stand up alone.
The AI Technical Leadership Team's remit is to build an AI Technology roadmap that lines up with the JHI strategic roadmap and own the deliverables against it.
It works across every AI technology remit — AI Platforms, AI Architecture, AI Engineering, and AI Governance Implementation — keeping them aligned so the firm has one coherent plan rather than four competing ones.
Janus Henderson Investors is committed to an inclusive and supportive environment.
We believe diversity improves results and we welcome applications from candidates from all backgrounds.

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.
All applications are subject to background checks.
Janus Henderson (including its subsidiaries) will not maintain existing or sponsor new industry registrations or licenses where not supported by an employee’s job functions (as determined by Janus Henderson at its sole discretion).
You should be willing to adhere to the provisions of our Investment Advisory Code of Ethics related to personal securities activities and other disclosure and certification requirements, including past political contributions and political activities.
Applicants’ past political contributions or activity may impact applicants’ eligibility for this position.
You will be expected to understand the regulatory obligations of the firm, and abide by the regulated entity requirements and JHI policies applicable for your role.