1 to 25 of 636 Remote/Hybrid Permanent Microsoft Certified Professional Jobs

design, build, and deliver next-generation AI-enabled applications and agentic systems. This role combines hands-on engineering across frontend applications, Python backend services, MCP infrastructure, agent workflows, and secure enterprise integrations. As an AI Engineer, you will build user-facing applications and backend services that integrate with Model Context … Protocol (MCP) servers, LLM-based applications, RAG-based retrieval systems, and agent orchestration platforms. You will work closely with AI developers, platform engineers, product teams, and other stakeholders to deliver scalable, secure, observable, and production-ready AI solutions. This engineering role is suited for candidates who can contribute across ...

DSPy, Semantic Kernel, Strands. Advanced retrieval : Graph RAG, knowledge graphs, context graphs, hybrid search, vector databases. Agentic patterns : multi-agent architectures, planning and reasoning, MCP (Model Context Protocol). Model customization: fine-tuning, distillation, and model evaluation at scale. What success looks like in this role. In the first ...

mentor engineers. Beneficial Experience with React and modern frontend development. Experience building Enterprise SaaS or ERP products. Experience working with Model Context Protocol (MCP) or similar AI integration standards. Experience with vector databases, AI observability or AI evaluation frameworks. Experience designing and delivering enterprise‐scale AI platforms or AI‐powered ...

machine learning certifications or Bedrock specific training Hands on experience with LLM applications, agent frameworks or orchestration tooling, e.g. Bedrock AgentCore, Strands, LangGraph or MCP Experience building or contributing to an internal developer platform or shared enterprise capability Experience with event driven architecture and messaging platforms (e.g. Kafka ...

Hosted Telecoms (Mitel, 3CX, Gamma, Horizon), IP Telephony, Linux, AWS/Azure Cloud, Access Control Systems, BCDR, CCTV IP. IT qualifications advantageous: CompTIA, MCP, MCSE, MCSA, CCNA, CCNP, ITIL, ITSM, Cyber Essentials (or similar). Working for an IT Managed Service Provider (MSP), or IT Support businesses is advantageous. Full ...

Hosted Telecoms (Mitel, 3CX, Gamma, Horizon), IP Telephony, Linux, AWS/Azure Cloud, Access Control Systems, BCDR, CCTV IP. IT qualifications advantageous: CompTIA, MCP, MCSE, MCSA, CCNA, CCNP, ITIL, ITSM, Cyber Essentials (or similar). Working for an IT Managed Service Provider (MSP), or IT Support businesses is advantageous. Full ...

London. Even Better If You Bring • Hands-on experience administering AI coding or agent tools, including Claude Code, GitHub Copilot or Codex. • Experience configuring MCP servers, connectors, permissions and access controls. • Familiarity with emerging agentic AI infrastructure and its associated security considerations. • Experience working with Netskope. • Hands-on Netskope CASB ...

cloud infrastructure experience. Experience with Terraform, containers, CI/CD and observability. Knowledge of caching strategies, latency management and inference cost optimisation. Familiarity with MCP or comparable service-registry and tool-discovery patterns. Strong testing, documentation and production engineering standards. Confidence working with platform engineers, architects and senior engineering stakeholders. ...

scale their impact. We value your AI skills if have built fluency across the agentic engineering toolchain — coding harnesses like Claude Code or Cursor, MCP servers, custom skills, or agent frameworks. And you can describe projects where you shipped real work with these tools. You know how to drive ...

operations experience. Preferred: familiarity with AI or ML infrastructure such as model serving, compute, and artifact management. Preferred: Splunk integration including Edge Processor and MCP connectivity. Preferred: AWS certifications such as Solutions Architect or DevOps Engineer. Preferred: experience developing and operating small services or APIs with FastAPI or Flask. Education ...

operations experience. Preferred: familiarity with AI or ML infrastructure such as model serving, compute, and artifact management. Preferred: Splunk integration including Edge Processor and MCP connectivity. Preferred: AWS certifications such as Solutions Architect or DevOps Engineer. Preferred: experience developing and operating small services or APIs with FastAPI or Flask. Education ...

combination of education and experience in a related field. Preferred Qualifications AI Architecture & Technical Depth: Hands-on expertise in modern AI (RAG, agentic systems, MCP, model selection/evaluation) and enterprise data architecture. Ability to write clean code for API interaction and perform technical testing for groundedness and quality. Governance ...

develop foundational AI frameworks, including internal APIs, middleware, and routing layers that allow other systems to securely utilize AI capabilities. Build Model Context Protocol (MCP) servers and a library of reusable 'skills' (function calling/tools) that enable AI models to safely interact with our internal databases, microservices, and external ...

/CD:Jenkins, GitHub Actions, Azure DevOps IaC: Terraform, CloudFormation, Azure Bicep Pragmatic and safe usage of AI through the SDLC (e.g. using MCP to combine tools in interesting and effective ways) Qualifications Essential requirements Experience in managing and technically leading a software engineering team Soft-skills to interact with ...

including: Learning and Development: Work alongside a multidisciplinary team of AI, data, and consulting experts who are committed to continuous learning, knowledge sharing, and professional growth. Hybrid Flexibility: Our hybrid work model gives you the flexibility to balance collaboration, client needs, and personal commitments. Comprehensive Benefits: We offer ...

team and set the bar in design reviews and code reviews. Engage with the open source and agentic development community around sandboxing, MCP, and related ecosystems. Participate in on-call rotations and respond to critical stability issues affecting users. Document your work clearly and share knowledge with the rest ...

actively used in this role. Working with ML flow. Designing developing and testing agent build in Google ADK Working with Model Context Protocol (MCP) and creating servers. Other technology we use includes Neo4j, Postgres, Kafka and libraries such as FAST API. Build and maintain CI/CD pipelines to support ...

intelligent task planning, execution, and state management. Develop reusable tools, workflows, and orchestration components for enterprise AI applications. Design and integrate Model Context Protocol (MCP) clients and tool ecosystems. Build conversational AI applications with contextual memory, reasoning, and dynamic tool invocation. Develop and integrate REST APIs and external enterprise systems … applications. Strong experience with LangGraph, LangChain, or similar AI orchestration frameworks. Experience designing and implementing multi-agent AI systems. Experience with Model Context Protocol (MCP) or similar tool integration architectures. Strong understanding of LLM architecture, prompt engineering, function calling, tool usage, memory management, and agent orchestration. Hands-on experience with ...

intelligent task planning, execution, and state management. Develop reusable tools, workflows, and orchestration components for enterprise AI applications. Design and integrate Model Context Protocol (MCP) clients and tool ecosystems. Build conversational AI applications with contextual memory, reasoning, and dynamic tool invocation. Develop and integrate REST APIs and external enterprise systems … applications. Strong experience with LangGraph, LangChain, or similar AI orchestration frameworks. Experience designing and implementing multi-agent AI systems. Experience with Model Context Protocol (MCP) or similar tool integration architectures. Strong understanding of LLM architecture, prompt engineering, function calling, tool usage, memory management, and agent orchestration. Hands-on experience with ...

other systems of record and engagement. Design integration patterns that let AI capabilities interoperate safely with enterprise data, identity,workflowand process automation platforms– including MCP and A2A and how these capabilities enable an enterprise Agent mesh. Understand the data,governanceand change implications of embedding AI into mission-critical enterprise processes. … Orchestration & control plane Architect the orchestration and control-plane layer that governs how AI capabilities are exposed,routedand managed across the enterprise. Design MCP, AI and LLM gateway layers for secure,observableand policy-controlled access to models and tools. Design agent and skills registries — including recommending suitable technologies and patterns ...

Maintains expertise by proactively monitoring emerging technologies and industry trends, including AI model development and evaluation, RAG, AI agents, agent frameworks, Model Context Protocol (MCP), and enterprise AI governance.–Builds familiarity with scientific computing, laboratory systems, research-data workflows, and related technologies where relevant to customer use cases.–Champions continuous ...

your own work, while staying in control and challenging the output when it is wrong Practical understanding of Claude Code, Cowork, plugins and skills, MCP connectors, and what an AI agent actually is and is not Technical background sufficient to discuss enterprise architecture, integrations, and data flows at a senior ...

agents, shipping AI-built systems to production, with concrete proof of impact rather than demosGenuine fluency with LLM APIs, agent frameworks, RAG pipelines, and MCP integrations, as an active practitioner rather than an occasional userDeep engineering judgment: you can validate AI-generated code, reason about security and architecture ...

where priorities can change in response to customer and operational needs. Strong written communication and the ability to collaborate asynchronously. Desirable Experience Experience implementing MCP servers or clients. Experience with agentic workflows or multi-agent systems. Experience designing AI evaluation or governance frameworks. Experience selecting models and tools based ...

thinking or external contributions in AI engineering (talks, writing, open source) Experience with multi‐agent coordination: task decomposition, handoff, shared state Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML researchers without production engineering experience. We build products ...