Senior AI Engineer - Forward-Deployed & Productionized

Janus Henderson Group

Greater London

Hybrid

GBP 90.000 - 150.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Hybrid working
Generous holiday
Health and wellbeing benefits
Volunteer time
Tuition reimbursement
Parental leave

Zusammenfassung

Janus Henderson Investors is seeking a business‑facing software engineer to embed with finance teams, turning operational friction into production AI and data solutions. You’ll contribute across the full stack—from data ingestion to live production on Nexus and related tooling—embedded with the business to accelerate decision making.

You’ll collaborate with AI Enablement Partners and Quant researchers, owning solutions end‑to‑end, shipping production capabilities, and ensuring governance and

Qualifikationen

  • Four+ years in a technical, business‑facing engineering role.
  • Strong Python and SQL, with a track record of shipping production applications.
  • 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; able to run discovery with a portfolio manager and translate into production pipelines.
  • High agency and comfort with ambiguity; focus on business problems, not just technology.
  • Experience in a regulated environment where governance, compliance and data sensitivity shape solutions.

Aufgaben

  • Embed with the business by sitting with users to understand workflows, data and friction.
  • Partner with AI Enablement Partners on escalated demand that business teams cannot deliver themselves.
  • Set realistic expectations on feasibility, work scope and boundaries.

Kenntnisse

Python
SQL
LLMs
Agent frameworks
Data pipelines
Azure
CI/CD
Stakeholder management
Ambiguity tolerance
Regulated environment

Tools

Terraform
Docker
Kubernetes
Snowflake
Azure

Jobbeschreibung

Janus Henderson Investors is seeking a business‑facing software engineer to embed with finance teams, turning operational friction into production AI and data solutions. You’ll contribute across the full stack—from data ingestion to live production on Nexus and related tooling—embedded with the business to accelerate decision making.

You’ll collaborate with AI Enablement Partners and Quant researchers, owning solutions end‑to‑end, shipping production capabilities, and ensuring governance and

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