Impress employers and recruiters.
Choose from hundreds of resume examples.

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Senior Forward Deployed Engineer role.
Rezi rewrites your resume against Janus Henderson Investors's job description. Free.

Tailor your resume to this Senior Forward Deployed Engineer role.
Rezi rewrites your resume against Janus Henderson Investors's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Senior Forward Deployed Engineer posting at Janus Henderson Investors — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Senior Forward Deployed Engineer posting at Janus Henderson Investors — free, in seconds.
About the Role
This is a business-facing engineering role where you will collaborate with business users to identify challenges and develop AI and data solutions that reach production. You will be part of Janus Henderson's firm-wide AI transformation, embedding with business units to build capabilities they cannot establish independently. Reporting to the Principal Forward Deployed Engineer, you will own solutions from initial concept to live operation, working across the full stack to source, curate, and deploy data and AI models.
Responsibilities
- Embed with business users to understand workflows, data, and friction points.
- Partner with AI Enablement Partners on escalated demand.
- Set realistic expectations for project feasibility and timelines.
- Design, build, and productionize bespoke AI solutions, owning them through to live running.
- Prototype solutions with business users and harden successful prototypes into production.
- Own architecture and design decisions, ensuring solutions are secure, scalable, and aligned with the enterprise core stack.
- Manage solutions through evaluation, observability, AI governance checkpoints, and ongoing maintenance.
- Build advanced investment capability on Nexus and make it available across the firm.
- Collaborate with quantitative researchers and investment teams to scale models and signals.
- Implement validation, monitoring, and reproducibility for signal output.
- Source data through APIs, vendor feeds, and enterprise systems, building ingestion pipelines.
- Curate raw data into business-focused views, managing lineage, quality, and freshness.
- Expose data and capability through Accio and Nexus.
- Build reusable components and feed patterns back to AI Architecture and AI Engineering.
- Co-build enterprise core-stack deliverables with Percepta and AI Engineering.
- Collaborate with AI Security and AI Governance Implementation to meet standards.
- Stay current with LLM capabilities, agent patterns, and AI tooling, and integrate useful advancements.
Requirements
- Minimum of four years in a technical, business-facing engineering role (e.g., forward deployed engineering, solutions engineering, consulting-side software engineering, or embedded engineering).
- Strong Python and SQL skills with a track record of shipping production applications.
- Production experience with LLMs, including prompt and context engineering, agent development, evaluation, and deployment.
- Hands-on experience building agentic capability (MCP servers, tools, skills, or connectors) for consumption by other systems and agents.
- Experience building data pipelines from APIs and enterprise systems, and modeling raw data into curated, business-facing views.
- Working knowledge of a major cloud platform (ideally Azure), including CI/CD, containers, and infrastructure as code.
- Excellent stakeholder management skills, capable of running discovery sessions and developing solutions.
- High agency, comfort with ambiguity, and a genuine interest in business problems.
- Experience in a regulated environment where governance, compliance, and data sensitivity influence solution development.
- Willingness to adhere to the firm's Investment Advisory Code of Ethics and disclosure requirements.
- Understanding of regulatory obligations and adherence to regulated entity requirements and JHI policies.
Skills
- Python
- SQL
- LLMs
- Prompt Engineering
- Context Engineering
- Agent Development
- Agentic Capability Building
- MCP Servers
- Data Pipelines
- Data Modeling
- Azure
- CI/CD
- Containers
- Infrastructure as Code
- Stakeholder Management
- Asset Management Domain Knowledge
- Financial Services Domain Knowledge
- Investment Process Knowledge
- Front Office Workflow Knowledge
- Fixed Income Knowledge
- Quantitative Investment Concepts
- Fair Value
- Relative Value
- Signal Generation
- Portfolio Construction
- Snowflake
- Microsoft Fabric
- OneLake
- Azure AI Foundry
- Model Gateways
- Inference Routing
- AI Evaluation
- AI Observability
- TypeScript
- Front-end Development
Location
- Hybrid
Work Type
- Hybrid working
Experience Level
- Minimum four years in a technical, business-facing engineering role
- Individual contributor role
- Mentoring less experienced engineers
Salary/Compensations
- Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool.
- Competitive compensation
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
- 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.
- Janus Henderson is undertaking a firm-wide AI transformation to become the most technologically sophisticated asset manager in the industry.
- Our AI capability sits in a single centralised function under the Head of AI.
- Forward Deployed Engineering embeds with the business and builds what business units cannot stand up alone.
- 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.