At a Glance
- Tasks: Transform business challenges into AI solutions and deliver impactful projects.
- Company: Join a leading firm driving AI transformation with a collaborative spirit.
- Benefits: Enjoy hybrid work, generous holidays, health perks, and professional growth support.
- Other info: Dynamic role with opportunities for innovation and career advancement.
- Why this job: Make a real difference by embedding AI in business processes and shaping the future.
- Qualifications: 4+ years in engineering, strong Python/SQL skills, and experience with LLMs.
The predicted salary is between 63000 - 77000 £ per year.
Overview
In this role you partner with business users to convert friction into AI and data solutions that reach production.
You will be part of a firm-wide AI transformation, embedding with desks to shape problems and deliver reusable, scalable capabilities.
You’ll own end-to-end delivery from first conversation to live running, contributing to firm-wide investment capabilities and governance.
This is a hands-on, cross-functional engineering position with a strong emphasis on real impact and collaboration.
- Pay / Benefits
- Hybrid working
- Generous holiday policies
- Health and wellbeing benefits
- Volunteer time
- Professional development support
- Parental leave and family services
Responsibilities
- Embed with the business by sitting with users to understand workflows and friction
- Partner with AI Enablement Partners to surface and deliver demand
- Design, build, and productionise complex AI solutions from prototype to live running
- Own architecture decisions keeping security, scalability, and enterprise alignment
- Build investment capability on Nexus and expose it firm-wide via Accio and Nexus
- Source data through APIs and enterprise systems and curate views for business use
- Ensure data quality, lineage, and observability; help with governance checkpoints
- Collaborate across AI function and ensure solutions meet security and governance standards
- Key requirements
- Four+ years in a technical, business-facing engineering role
- Strong Python and SQL with a track record of production-grade applications
- Production experience with LLMs including prompt/context engineering, agent development, evaluation, and deployment at scale
- Hands-on experience building agentic capability (MCP servers, tools, or connectors)
- Experience building data pipelines from APIs and enterprise systems and modeling data into business-facing views
- Working knowledge of Azure or a major cloud with CI/CD, containers, and infrastructure as code
- Excellent stakeholder skills and ability to operate with ambiguity in a regulated environment
- High agency and genuine business problem focus
- Excellent stakeholder management
- Comfort with ambiguity and high initiative
- Ability to run discovery with business users and translate into technical work
- Python
- SQL
- LLMs (prompting, evaluation, deployment)
Forward Deployed Engineer in London employer: Janus Henderson
At Janus Henderson, we pride ourselves on being an exceptional employer that fosters a culture of collaboration and inclusivity. Our commitment to employee growth is evident through our comprehensive professional development programs, generous health and wellbeing benefits, and a supportive hybrid working environment. Join us in London, where you can contribute to meaningful financial outcomes while enjoying a vibrant work-life balance and engaging community events.
