

iXceed Solutions
Forward Deployed AI Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Forward Deployed AI Engineer on a contract (Inside IR35) basis in London, offering a hybrid work model. Key skills include Azure, AI frameworks, and strong experience in Corporate, Compliance, Legal, or Risk Management domains.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 26, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Redis #Snowflake #Compliance #Cloud #Infrastructure as Code (IaC) #Azure #Deployment #Documentation #Automation #ADLS (Azure Data Lake Storage) #Jira #GitHub #AI (Artificial Intelligence) #DevOps #Data Governance #Terraform #UAT (User Acceptance Testing) #Grafana #Prometheus #Datadog #Observability #Axon
Role description
Forward Deployed AI Engineer
Role type : Contract (Inside IR35)
Location : London
Work mode : Hybrid – at least 1 or 2 days a week onsite
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 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 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 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 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
Forward Deployed AI Engineer
Role type : Contract (Inside IR35)
Location : London
Work mode : Hybrid – at least 1 or 2 days a week onsite
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 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 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 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 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






