Forward Deployed AI Engineer London INSIDE IR35 £600 PER DAY

Summary: The Forward Deployed AI Engineer role in London involves leading the end-to-end delivery of AI-enabled solutions across various domains, including Corporate, Compliance, Legal, and Risk Management. The position requires managing UAT-to-production transitions, building CI/CD pipelines, and engaging with stakeholders to translate business needs into technical solutions. The role emphasizes hands-on experience with Azure and AI frameworks, as well as strong communication and delivery skills. This position is classified as inside IR35 and offers a daily rate of £600.

Key Responsibilities:

• 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
• 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
• 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
• 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 life cycle including UAT coordination, operational readiness, and post-launch support
• 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
• 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

Key Skills:

• Proven track record of end-to-end solution delivery in production enterprise environments
• 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
• 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
• Fluency with AI-assisted development tooling (Cursor, Claude, Codex)
• Working knowledge of Azure AI Foundry, Azure OpenAI, Document Intelligence, and AI Search
• Strong communication and stakeholder management skills
• Ownership mindset and high accountability

Salary (Rate): £600 per day

City: London

Country: UK

Working Arrangements: hybrid

IR35 Status: inside IR35

Seniority Level: undetermined

Industry: IT