Forward Deployed Engineer
Key Skills for This Role
Full Job Posting
Embed with the business
Sit with business users — portfolio managers, analysts, traders, marketing, sales, HR, and operations — to understand their workflows, their data, and their day-to-day friction.
Partner with the AI Enablement Partners on escalated demand that business teams and citizen developers cannot deliver themselves.
Set realistic expectations on what is feasible, what it will take, and what it will not do.
Deliver solutions end to end
Design, build, and productionise bespoke, higher-complexity AI solutions, owning them through to live running.
Prototype with the business close at hand, then harden what works into production rather than leaving a demonstration.
Own the architecture and design decisions for your 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.
Build investment capability on Nexus
Build advanced investment capability on Nexus and make it available across the firm.
Work with quantitative researchers and investment teams to take models and signals from one desk into a supported, firm-wide capability.
Put validation, monitoring, and reproducibility around signal output investment professionals rely on, and help take citizen developer workflows through to production.
Make data and capability reusable
Source data through APIs, vendor feeds, and enterprise systems, and build the ingestion pipelines that keep it flowing.
Curate raw data into business-focused views, and own its lineage, quality, and freshness.
Expose data and capability through Accio, and as skills, tools, and connectors on Nexus, so any approved agent or application can reach them.
Build reusable components rather than one-off integrations, and feed the patterns back to AI Architecture and AI Engineering.
Work across the AI function
Co-build enterprise core-stack deliverables with Percepta and AI Engineering, designed for transfer into business-as-usual.
Work with AI Security and AI Governance Implementation so solutions meet our security, data-privacy, and responsible-AI standards.
Keep current with LLM capabilities, agent patterns, and AI tooling, and bring back what is genuinely useful.
What to expect when you join our firm
Hybrid working and reasonable accommodations
Generous Holiday policies
Excellent Health and Wellbeing benefits including corporate membership to Wellhub
Paid volunteer time to step away from your desk and into the community
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
Must have skills
At minimum four years in a technical, business-facing engineering role — forward deployed engineering, solutions engineering, consulting-side software engineering, or engineering embedded in a business unit. Former technical founders are encouraged to apply.
Strong Python and SQL, and a track record of shipping production applications rather than prototypes.
Production experience with LLMs, covering prompt and context engineering, agent development, evaluation, and deployment at scale.
Hands-on experience building agentic capability — MCP servers, tools, skills, or connectors — for other systems and agents to consume.
Experience building data pipelines from APIs and enterprise systems, and modelling raw data into curated, business-facing views.
Working knowledge of a major cloud, ideally Azure, with CI/CD, containers, and infrastructure as code.
Excellent stakeholder skills. You can run discovery with a portfolio manager in the morning and write the pipeline in the afternoon.
High agency and comfort with ambiguity, and genuine interest in the business problem rather than only the technology.
Experience in a regulated environment where governance, compliance, and data sensitivity shape how solutions are built.
Nice to have skills
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, or comparable enterprise data platforms.
Azure AI Foundry, model gateways, inference routing, or AI evaluation and observability in production.
TypeScript or a second production language, and front-end experience for user-facing AI applications.
Supervisory responsibilities
No. This is an individual-contributor role. Forward Deployed Engineers lead delivery of their own engagements and mentor less experienced engineers, but do not line-manage.
Potential for growth
Mentoring
Leadership development programs
Regular training
Career development services
Continuing education courses
At Janus Henderson Investors we’re committed to an inclusive and supportive environment. 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! 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 [email protected]
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Annual Bonus Opportunity: 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: Janus Henderson is committed to offering a comprehensive total rewards package to eligible employees that includes; competitive compensation, pension/retirement plans, and various health, wellbeing and lifestyle benefits. To learn more about our offerings please visit the Why Join Us section on the career page here .
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.
About Janus Henderson
Private global asset manager helping institutional and individual clients invest across equities, fixed income, multi-asset and alternatives.
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