21 of 21 Model Context Protocol Jobs in the South West

collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative … programming and database querying languages Experience with containerization Knowledge of agent-to-agent (A2A) communication concepts Familiarity with Model Context Protocol (MCP) Experience with agentic orchestrators, personal AI assistants, or AI skills development ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice ...

collaborative culture through communities of practice and emerging-technology events. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. Job Responsibilities Design, develop, and troubleshoot software solutions using creative … environment using modern programming and database querying languagesExperience with containerizationKnowledge of agent-to-agent (A2A) communication conceptsFamiliarity with Model Context Protocol (MCP)Experience with agentic orchestrators, personal AI assistants, or AI skills development ABOUT US J.P. Morgan is a global leader in financial services, providing strategic advice ...

stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks … corporate environment using modern programming and database querying languages, including containerization Knowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions ...

stability. You will help deliver GenAI services using public cloud capabilities. You will explore and operationalize emerging patterns such as agent-to-agent communication, model context protocols, and agentic orchestration, turning early-stage concepts into scalable, production-ready capabilities. You will contribute as a team player who seeks … large corporate environment using modern programming and database querying languages, including containerizationKnowledge of agent-to-agent (A2A) communication, Model Context Protocol (MCP), AI skills development, personal AI assistants, or agentic orchestrators ABOUT US JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions ...

scalable, self-service solutions for documentation, SDKs, configurations, and pipelines to enable rapid deployment of GenAI applications and agents Implement tools and frameworks for model versioning, experiment tracking, and lifecycle management Develop systems to monitor model performance and address data and model driftRecommend best practices for model … Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Previous experience deploying and managing ML models Experience working ...

scalable, self-service solutions for documentation, SDKs, configurations, and pipelines to enable rapid deployment of GenAI applications and agents Implement tools and frameworks for model versioning, experiment tracking, and lifecycle management Develop systems to monitor model performance and address data and model drift Recommend best practices … Familiarity with advanced AI/ML concepts and protocols, including Retrieval-Augmented Generation (RAG), agentic system architectures, and Model Context Protocol (MCP) Exposure to vector stores such as Pinecone, GCP RAG engine, and AWS S3 Vector Buckets Previous experience deploying and managing ML models Experience working ...

core infrastructure to accelerate AI solution development.Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails.Apply context and prompt engineering techniques to improve prompt-based model performance.Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring, and optimization … working with engineers, data scientists, and ML practitioners.Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP)Experience with AWS and infrastructure-as-code tools such as Terraform.Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/ ...

infrastructure to accelerate AI solution development. Design and develop multi-agent systems for orchestration, agent-to-agent communication, eval, memory, telemetry, and guardrails. Apply context and prompt engineering techniques to improve prompt-based model performance. Develop and maintain tools and frameworks for prompt-based agent evaluation, monitoring … with engineers, data scientists, and ML practitioners. Experience in customising and optimizing Github Copilot using VSCode Extension or Model Context Protocol (MCP) Experience with AWS and infrastructure-as-code tools such as Terraform. Experience in multi-agent orchestration. Familiarity with MLOps practices, including CI/ ...

integrations that make company data available to AI systems (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence and more) Build and maintain knowledge base pipelines, MCP integrations and API connections that power AI tooling across the business Work with security and data governance requirements to ensure integrations are safe and appropriate … commercial environment Strong full-stack skills in TypeScript Frontend skills with Next.js or React to build an interface for engineers Knowledge of MCP (Model Context Protocol) Experience shipping containerised software to Kubernetes Comfortable working with LLMs, embeddings and AI application patterns Experience designing and building API integrations ...

with AI concepts, such as Retrieval-Augmented Generation (RAG), agentic system architectures, evaluation of LLMs and agents, and Model Context Protocol (MCP).Hands-on experience with or solid understanding of Amazon Web Services (AWS).Understanding of cloud architecture and the software development lifecycle.Experience coaching and mentoring other ...

with AI concepts, such as Retrieval-Augmented Generation (RAG), agentic system architectures, evaluation of LLMs and agents, and Model Context Protocol (MCP). Hands-on experience with or solid understanding of Amazon Web Services (AWS). Understanding of cloud architecture and the software development lifecycle. Experience coaching ...

approval gates so developers can verify and correct agent output before it is merged. Integrate tools and data sources into the agents via MCP (Model Context Protocol). Set up evaluation, guardrails and tests to catch incorrect output early. Work alongside engineering team's and upskill them ...

baseline requirement, not a differentiator Python and/or Java for backend service development LLM integration experience - OpenAI, Anthropic, or equivalent APIs MCP, REST APIs, Microservices Architecture Cloud platforms - AWS, Azure, or GCP Preferred Agentic framework experience - LangChain, LangGraph, AutoGen, or similar RAG pipeline design and vector database experience (Pinecone ...

baseline requirement, not a differentiator Python and/or Java for backend service development LLM integration experience - OpenAI, Anthropic, or equivalent APIs MCP, REST APIs, Microservices Architecture Cloud platforms - AWS, Azure, or GCP Preferred Agentic framework experience - LangChain, LangGraph, AutoGen, or similar RAG pipeline design and vector database experience (Pinecone ...

others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities … product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Platform & Cloud Engineering ...

others: Agentic AI & LLM Engineering: Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities … product stacks. Machine Learning Engineering: End-to-end ML lifecycle expertise: feature engineering, model training, evaluation and production deployment, including MLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn, PyTorch, XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Platform & Cloud Engineering ...

Generation (RAG) pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation.Build and integrate agent tools (MCP) and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing, error handling, and retries.Design and implement robust evaluation frameworks … systematically assess and measure the performance of AI agents across key operational metrics.Practice advanced prompt and context engineering (e.g., Chain-of-Thought, ReAct, function calling/tool-use prompts), implement output validation and guardrails to reduce hallucinations.Deploy scalable AI services to cloud infrastructure, ensuring monitoring, and observability for agent ...

pipelines and semantic search using vector databases such as Pinecone and Chroma, including indexing, retrieval policies, and evaluation. Build and integrate agent tools (MCP) and APIs to connect agents with external services, databases, and internal systems, ensuring robust output parsing, error handling, and retries. Design and implement robust evaluation frameworks … systematically assess and measure the performance of AI agents across key operational metrics. Practice advanced prompt and context engineering (e.g., Chain-of-Thought, ReAct, function calling/tool-use prompts), implement output validation and guardrails to reduce hallucinations. Deploy scalable AI services to cloud infrastructure, ensuring monitoring, and observability ...

team members on best practices in AI engineering.Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI.Optimise existing model serving and data pipelines to meet changing performance and security requirements.Hold requirements gathering sessions with business stakeholders and data science teams.Lead functional projects … leveraging AI-powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation.Knowledge of or experience with MCP to integrate LLMs with external data sources and tools At JET, this is on the menu: Our teams forge connections internally and work with some ...

best practices in AI engineering. Use best practices (e.g., MLOps, AIOps) to improve products/services and processes related to AI. Optimise existing model serving and data pipelines to meet changing performance and security requirements. Hold requirements gathering sessions with business stakeholders and data science teams. Lead functional projects … powered development tools like GitHub Copilot or similar platforms (e.g., Kiro, Cursor) to enhance productivity and code generation. Knowledge of or experience with MCP to integrate LLMs with external data sources and tools At JET, this is on the menu: Our teams forge connections internally and work with some ...

unauthorised exfiltration of sensitive information across network, cloud, endpoint, and AI-integrated environments. Extend data classification and DLP coverage to AI ensuring training datasets, model inputs and outputs, and inference logs containing sensitive data are subject to the same controls as the broader data estate. Lead the engineering … security risks including training data exposure, model inversion, prompt injection, and the data privacy implications of generative AI and agentic workflows such as MCP-integrated platforms. xlzlddp Collaborative by default, with a track record of partnering with IT, software engineering, and privacy teams to deliver data security outcomes that ...