AI Engineer

ANYWHERE365®

. Design, build, and deploy AI agents solving customer and business problems .

Posted 11/1/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI agents that solve customer and business problems, with a strong focus on integrating various Microsoft technologies and ensuring security and performance standards. Proficient in software engineering practices, particularly with C# and .NET, and experienced in cloud-native deployment and API integration.

Highest-signal resume keywords

C# ProgrammingAzure FunctionsDynamics 365 IntegrationAPI IntegrationCloud-Native Deployment

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringC# ProgrammingAzure FunctionsAzure App ServiceAzure OpenAI ServiceDynamics 365 IntegrationAPI IntegrationCI/CD PipelinesInfrastructure-as-CodeContext and Memory Management

Soft Skills

CollaborationProblem-SolvingPragmatic ApproachSystems ThinkingSecurity-Conscious Mindset

Tools & Technologies

Microsoft GraphDataversePower PlatformMCP ServersSemantic KernelMicrosoft AI SDKsAzure Key VaultEvent-Driven ArchitecturesRAGVector Databases

Industry Keywords

AI AgentsCustomer ExperienceInformation SecurityEnterprise SolutionsRegulated Environment AI Delivery

Tech Stack

Tools & technologies

AzureCloudServiceNowVault.NET

About the role

Key responsibilities & impact

Design, build, and deploy AI agents solving customer and business problems
Create agents that deliver independent value and contribute insights to a broader intelligence ecosystem
Translate product requirements and use cases into scalable, production-ready solutions
Build and operate MCP servers providing secure access to tools, systems, and enterprise data
Define and implement tool interfaces, authentication mechanisms, and resource access patterns
Integrate agents with Dynamics 365, Microsoft Graph, Dataverse, ServiceNow, Contact Centre and Customer Experience platforms, and internal and third-party APIs
Define memory, context, and decision-making patterns
Implement retrieval, reasoning, and tool-use strategies
Design safety guardrails for enterprise agent operation
Develop adapters, event-processing capabilities, and integration layers
Enable agents to share insights and consume intelligence from interconnected solutions
Contribute technical expertise, customer insights, and market observations to the Agent Factory roadmap and backlog
Work with Product, Engineering, QA, and AI leadership to meet security, performance, governance, and business-value standards
Identify customer challenges, emerging AI opportunities, and market trends
Support and maintain company information security standards

Requirements

What you’ll need

Strong software engineering experience using C# and .NET
Hands-on experience with Azure Functions, Azure App Service, Azure OpenAI Service, and Azure AI Foundry / AI Studio
Experience integrating Dynamics 365, Dataverse, Microsoft Graph, and Power Platform
Knowledge of Microsoft Entra ID, Managed Identities, and Azure Key Vault
Practical experience building or consuming MCP servers
Knowledge of Semantic Kernel, AutoGen, and Microsoft AI SDKs
Experience with function and tool calling, RAG, vector databases, and context and memory management
Ability to design clear, reliable, and secure agent interactions
Strong API integration experience, including REST APIs, webhooks, and event-driven architectures
Experience with cloud-native deployment, CI/CD pipelines, and infrastructure-as-code
Understanding of performance, latency, reliability, and cost considerations for LLMs in production
Commitment to software quality, testing, and continuous improvement
Ability to work closely with QA teams on agent evaluation, testing, and quality assurance
Pragmatic approach to taking ideas from concept to production
Passion for applying AI to real-world business challenges
Ability to work independently and collaborate with cross-functional teams
Systems-thinking approach to platforms and architectures
Security-conscious approach to reliable enterprise-grade solutions
Nice to have: multi-agent architectures, agent-to-agent communication, enterprise or regulated-environment AI delivery, LLM observability/monitoring/tracing/evaluation, and Contact Centre/Customer Experience/workflow automation platforms
All employees must adhere to information security policies, protect company and customer data, use systems securely, report incidents, complete mandatory security and data protection training, and handle confidential information securely

Benefits

Comp & perks

Cutting-edge Microsoft AI technologies
Opportunity to contribute directly to innovative agentic solutions
Opportunity to help shape the future of enterprise AI
Opportunity to build scalable AI capabilities delivering measurable customer value