26 to 50 of 638 Remote/Hybrid Microsoft Certified Professional Jobs

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 ...

Published thinking or external contributions in AI engineering (talks, writing, open source) Experience designing platform layers that other teams build on Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards What We Are Not Looking For Pure ML research without production engineering experience. We need builders Narrow ...

papers, publications, and presentations. Qualifications Required experience PhD in a quantitative field (machine learning, AI, statistics, computer science, physics, engineering) with 8+ years of professional experience OR MS degree in a quantitative field plus 11+ years of professional experience in machine learning, artificial intelligence, or other aspects … Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience ...

papers, publications, and presentations. Qualifications Required experience PhD in a quantitative field (machine learning, AI, statistics, computer science, physics, engineering) with 8+ years of professional experience OR MS degree in a quantitative field plus 11+ years of professional experience in machine learning, artificial intelligence, or other aspects … Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience ...

papers, publications, and presentations. Qualifications Required experience PhD in a quantitative field (machine learning, AI, statistics, computer science, physics, engineering) with 8+ years of professional experience OR MS degree in a quantitative field plus 11+ years of professional experience in machine learning, artificial intelligence, or other aspects … Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience ...

papers, publications, and presentations. Qualifications Required experience PhD in a quantitative field (machine learning, AI, statistics, computer science, physics, engineering) with 8+ years of professional experience OR MS degree in a quantitative field plus 11+ years of professional experience in machine learning, artificial intelligence, or other aspects … Agents SDK), agent platforms (e.g. Amazon Bedrock, Microsoft Agent Framework, Claude Agent SDK), or comparable tools, including standards such as Model Context Protocol (MCP) for connecting agents to tools and data. Experience with retrieval systems for agents: retrieval-augmented generation, embedding models, vector databases, and long-term memory. Experience ...

LangGraph, AutoGen, Claude Agent SDK, OpenAI tooling or custom orchestration frameworks. Integrate leading and self-hosted LLMs with tools, data and external systems using MCP and custom connectors. Implement RAG solutions using vector databases and hybrid retrieval where appropriate. Work across relational, document, key-value and graph databases depending … genuine use case. Production & Engineering You'll own solutions all the way into production, including: Infrastructure and deployment. AI evaluation and testing frameworks. MCP server implementation. Cloud deployment across AWS, Azure, Cloudflare or Vercel. Docker, Kubernetes and/or serverless architectures. TDD and robust software engineering practices. Security, secrets management ...

AutoGen, Claude Agent SDK, OpenAI tooling or custom orchestration frameworks . Integrate leading and self-hosted LLMs with tools, data and external systems using MCP and custom connectors . Implement RAG solutions using vector databases and hybrid retrieval where appropriate. Work across relational, document, key-value and graph databases depending … genuine use case. Production & Engineering You'll own solutions all the way into production, including: Infrastructure and deployment. AI evaluation and testing frameworks. MCP server implementation. Cloud deployment across AWS, Azure, Cloudflare or Vercel . Docker, Kubernetes and/or serverless architectures. TDD and robust software engineering practices. Security, secrets ...

optimize prompts and interaction strategies for LLMs to achieve desired outcomes in agentic systems. Integrate various tools, APIs, and data sources, potentially utilizing MCP Servers, to enhance model context and tool integration. Develop robust, scalable, and maintainable code in Python for all components of the agentic applications, from backend logic … translate requirements into technical solutions. Stay up-to-date with the latest research and developments in generative AI, LLMs, agentic systems, and protocols like MCP, evaluating their potential for our products. Contribute to the architecture and technical roadmap of our AI initiatives. Mentor junior engineers and share knowledge within ...

retrieval evaluation for enterprise data groundingDevelop orchestration engines supporting multi-step planning, delegation, and fallback paths for agent workflowsImplement integration and communication patterns via MCP, A2A, OpenAPI, REST, and gRPCBuild production-grade Python APIs and microservices integrating with enterprise systems and AI servicesApply observability and monitoring solutions (Langfuse, Arize, Grafana … evaluation methodologiesExperience with multi-agent orchestration frameworks (LangGraph, CrewAI, AutoGen, Semantic Kernel)Familiarity with orchestration strategies like planner/executor and tool callingKnowledge of MCP, A2A protocols, and OpenAPI-based integration methodsStrong experience with cloud environments, ideally Azure (Azure OpenAI, AI Foundry, AI Search)Competence in containerized deployments, CI/ ...

Anthropic, Azure OpenAI, and Amazon Bedrock; model gateways and routing, retrieval and hybrid search, document ingestion, tool/function calling, Model Context Protocol (MCP), and agent orchestration AI Evaluation & Quality: Eval harnesses and golden datasets, LLM-as-judge and human-in-the-loop review, regression suites, and red-teaming Observability … with ITIL best practices (incident, change, and problem management) preferred. Experience with Lean or Agile methodologies preferred. Relevant certifications (e.g., AWS/Azure Associate, Certified Kubernetes Administrator) preferred. Experience: Significant experience in platform, DevOps, infrastructure, or software engineering roles. Bachelor’s degree in Computer Science, Information Technology, Engineering ...

solutions, including Generative AI and Agentic AI using Google ADK . Design, develop and test AI Agents and work with Model Context Protocol (MCP) and MCP servers. Write high-quality code in Python and/or Java , working across modern AI and platform technologies. Provide technical leadership, mentoring and guidance … experience with both is highly desirable. Experience with Generative AI and AI Agents , ideally including Google ADK . Practical experience with Model Context Protocol (MCP) and AI/data/service integration is highly desirable. Strong understanding of REST APIs, networking, databases and CLI tooling , with Postgres/Oracle experience ...

day. Maintain a deep understanding of AI coding agents and how they fit into modern development teams, along with technical concepts like API/MCP, data structure, permissions, and automation. Exhibit excellent discovery skills, enabling you to uncover customer workflows, technical constraints, decision criteria, and success metrics before jumping ...

Distribution on the DeepL platform (main channel): drive media translation adoption directly within web, browser extension, and apps. Work closely with the API/MCP track. PLG/PQL engine: define what qualifies as a strong PQL for media translation (usage signals, account characteristics, intent signals) , build the instrumentation ...

integrations—and reduce incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries … CSPM tools (e.g., Wiz). Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP).Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week ...

integrations—and reduce incidents via telemetry-driven automation and blameless postmortems. Champion AI‐enabled operations using AWS Bedrock/SageMaker and Model Context Protocol (MCP) for log analysis, anomaly detection, incident triage, and workflow orchestration; establish adoption guardrails. Define and enforce cloud guardrails and security controls (SCPs/IAM boundaries … CSPM tools (e.g., Wiz). Applying AI in CI/CD, observability, and incident response using AWS Bedrock/SageMaker and Model Context Protocol (MCP). Hands-on Agile delivery experience, actively participating in stand-ups and sprint ceremonies. Why Choose Fitch: Hybrid Work Environment: 2 to 3 days ...

hosted outside Salesforce.Experience building solutions for large-scale environments supporting hundreds or thousands of Salesforce users.Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling.Consulting & DeliveryProven experience translating complex business requirements and user stories into scalable technical solutions.Experience delivering solutions using … will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.Capgemini. Make it real.Why you should consider CapgeminiGrowing clients’ businesses while building a more sustainable, more inclusive future ...

Salesforce. • Experience building solutions for large-scale environments supporting hundreds or thousands of Salesforce users. • Nice to have: familiarity with the Model Context Protocol (MCP), vector search and embeddings, or Python for AI tooling.**Consulting & Delivery** • Proven experience translating complex business requirements and user stories into scalable technical solutions. • Experience … will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft, Harvard ManageMentor, Cybersecurity qualifications and much more.Capgemini. Make it real.## **Why you should consider Capgemini**Growing clients’ businesses while building a more sustainable, more inclusive ...

LangChain/LangGraph, Microsoft Copilot Studio, CrewAI, and similar orchestration tools. Leverage APIs and emerging integration standards such as Model Context Protocol (MCP) to connect AI capabilities with existing data infrastructure (Snowflake, Python, internal systems) and create seamless, reliable workflows that operate with minimal manual intervention. Data Analysis & Strategic … such as Microsoft Copilot Studio, Power Automate, or similar enterprise AI tooling. Familiarity with emerging AI integration standards such as Model Context Protocol (MCP) and tool-use patterns for connecting LLMs with external systems is a plus. Solid foundation in data analysis, with the ability to independently explore datasets ...

demonstrate the power of Zendesk headless technology and help customers embed Zendesk deep into their workflows inside and outside of the core platform via MCP and A2A technology. AI & Platform Architecture Autonomous Service Deployment: Master and deploy the Zendesk Agent Builder and Action Builder to architect multi-step, agentic workflows … target. Ecosystem Integration & Connectivity: Architect modern integrations connecting the Zendesk platform to external AI platforms and enterprise applications. Design these connections utilizing the Zendesk MCP (Model Context Protocol) Server, comprehensive APIs, and advanced Integration Platforms as a Service (iPaaS), while applying scalable enterprise integration patterns. Knowledge & Memory Engineering: Leverage Zendesk ...

verification processes. Build AI agents leveraging existing Large Language Models (LLMs) to improve engineering productivity across analog development flows. Develop reusable AI Skills, MCP (Model Context Protocol) tools, and workflow orchestration components with an emphasis on efficient token utilization, context management, and scalability. Collaborate with analog design, layout, and physical … high-speed analog custom layouts. Proven experience designing and implementing agentic AI workflows using existing Large Language Models (LLMs). Experience developing AI Skills, MCP tools, and agent orchestration frameworks with efficient token utilization strategies. Strong programming skills in Python. Experience with DevOps methodologies, CI/CD pipelines, software engineering ...

this job is Strong communication skills — you will spend real time with operations staff who are experts in customs and not in AI. Professional fluency in English. Desirable Evaluation engineering: building eval harnesses and regression suites for non-deterministic systems, LLM-as-judge approaches, and human-in-the-loop … sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks like ...

this job is Strong communication skills — you will spend real time with operations staff who are experts in customs and not in AI. Professional fluency in English. Desirable Evaluation engineering: building eval harnesses and regression suites for non-deterministic systems, LLM-as-judge approaches, and human-in-the-loop … sees — retrieval strategy, memory, tool descriptions, and policy layers that constrain what an agent is allowed to do. Agent orchestration frameworks and standards (LangGraph, MCP, Temporal or equivalent), and experience with long-running or multi-step agent workflows. Observability and cost control for inference at volume. What success looks like ...

large language models (LLMs), and build a secure, scalable framework that allows our platform to seamlessly leverage AI. You will build Model Context Protocol (MCP) servers, reusable AI skills, strict safety guardrails, and coordinate with disparate internal teams to expose their APIs to our autonomous agents. … core agentic platform. Deploy, manage, and scale applications within Kubernetes (K8s) environments efficiently right out of the gate. Build Model Context Protocol (MCP) servers and a library of reusable "skills" (function calling/tools) that enable AI agents to safely interact with internal databases, microservices, and external APIs. Collaborate with ...

GitHub Enterprise administration (org policies, SAML/SCIM, Actions) AWS account management, IAM, cost allocation tagging Developer survey design (DX, SPACE framework) Familiarity with MCP (Model Context Protocol) architecture Microsoft 365 Copilot tenant administration Background in DevOps, platform engineering, or developer experience teams Please note this ...