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Artificial Intelligence Engineer

London Area, United Kingdom Full-time Posted 5 days ago

Forward Deployed AI Engineer

Key Responsibilities

Delivery & Execution

  • Lead end-to-end solution delivery across Corporate, Compliance, Legal, and Risk Management domains — from design and build through UAT and production deployment
  • Own release readiness: manage UAT-to-production transitions, validate operational quality, and ensure solutions meet the firm's engineering and compliance standards
  • Build and maintain CI/CD pipelines and DevOps processes on Apollo's Azure-based platform, working within established GitOps and Flux deployment patterns
  • Manage delivery across multiple concurrent workstreams, coordinating with engineering, product, and business teams to maintain momentum and remove blockers


AI-Enabled Solution Design & Build

  • Apply AI tools, agent frameworks, and workflow orchestration to solve business-critical problems — selecting the right approach and model for each use case rather than defaulting to the most complex solution
  • Design and implement agent workflows on Apollo's Axon SDK and Azure AI Foundry, integrating Azure OpenAI, Document Intelligence, and AI Search
  • Build multi-step automations and AI pipelines using Temporal as the firm's enterprise workflow orchestrator
  • Integrate solutions with Apollo's data platform — consuming Snowflake data through the Delphi data PaaS, connecting to operational systems, and working within the firm's data governance model
  • Expose and consume capabilities through Apollo's internal Model Context Protocol (MCP) broker pattern


Stakeholder Engagement

  • Work directly with business leads, product managers, and domain teams to gather requirements, shape use cases, and translate them into clear, deliverable technical solutions
  • Communicate progress, risks, and trade-offs clearly to both technical leads and senior business stakeholders
  • Contribute to solution documentation, runbooks, and knowledge transfer as a standard part of delivery


Required Skills & Experience

Engineering & Delivery

  • Proven track record of end-to-end solution delivery in production enterprise environments — design through deployment and ongoing operation
  • Strong hands-on experience with Azure: AKS, Azure AI services, CI/CD pipeline implementation, and DevOps practices
  • Solid understanding of GitOps deployment patterns and Flux-based release workflows
  • Experience writing infrastructure configuration — Terraform or equivalent IaC — in a team-managed environment
  • Comfortable working across the full delivery lifecycle including UAT coordination, operational readiness, and post-launch support


AI & Automation

  • Deep practical experience with AI development workflows: agent design, prompt engineering, workflow orchestration, and model selection
  • Hands-on experience with AI frameworks and orchestration tools — applied to real delivery problems, not proof-of-concept work
  • Fluency with AI-assisted development tooling (Cursor, Claude, Codex) as a primary accelerant for engineering delivery
  • Working knowledge of Azure AI Foundry, Azure OpenAI, Document Intelligence, and AI Search is strongly preferred
  • Experience with Temporal or a comparable workflow orchestration platform is a plus


Domain & Environment

  • Exposure to Corporate, Compliance, Legal, or Risk Management functions; understanding of the domain accelerates delivery significantly
  • Strong communication and stakeholder management skills; ability to operate credibly at both working and senior levels
  • Ownership mindset, high accountability, and the flexibility to meet delivery commitments in a demanding environment


AI & Agents

Axon SDK · Azure AI Foundry · Azure OpenAI · Document Intelligence · AI Search · MCP broker

Orchestration

Temporal — agent runs, ETL pipelines, multi-step automations

Data

Snowflake via Delphi · Event Hubs · ADLS Gen2 · Cosmos DB · Redis · EDB Postgres

Cloud & Deployment

Azure · AKS · Flux GitOps · GitHub Actions · Terraform central module catalog

Observability

Datadog · Prometheus / Grafana · PagerDuty

ITSM & Identity

ServiceNow · Jira · Okta (OIDC) · Active Directory

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