Director of Software Engineering and ML - Agentic Commerce - Executive Director
audiences Preferred qualifications, capabilities, and skills Experience with agent frameworks and protocols (MCP, A2A
Software Engineer III - Data - Agentic Commerce
MCP (Model Context Protocol) servers that provide agents secure access to CRM, supplier directory, and payments data..., and Skills: Experience with agent frameworks (e.g., Google ADK, LangGraph) and agent protocols such as MCP, A2A, or AG-UI
Senior Technical Solutions Engineer
(Python, JavaScript/Node, APIs, SDKs), and fluent with AI development tooling (Claude, Cursor, agent frameworks, MCP). A CS... systems the field deploys into: demo automation, agent and MCP skill packages, workflow plugins, and the discoverable asset
Lead Software Engineer - Data - Agentic Commerce
, and Skills: Experience with agent frameworks and protocols (Google ADK, LangGraph, MCP, A2A, AG-UI) Experience with Databricks
Developer (Python)
development: Usage of LLM models for application, Agentic implementation, usage of tools to integrate data into LLM context, MCP
Applied AI ML Lead - Machine Learning Engineer - Agentic Commerce
using A2A and integrate tools and data through MCP servers (Bitbucket, Confluence, Databricks, Kubernetes, Snowflake, Splunk... Preferred Qualifications, Capabilities, and Skills: Experience with agent frameworks or runtimes, A2A, or MCP Agent memory
Senior Lead Software and Data Engineer - Agentic Commerce
protocols and frameworks such as MCP, A2A, AG-UI, Google ADK, or LangGraph Experience with agent payment and mandate patterns
Partner Services Manager
for stakeholders at all levels. Familiarity with AI technologies (such as LLMs and MCP), data ingestion methods and marketing
Senior AI Engineer (AI Platform)
, including MCP/tool abstraction, credential management and enterprise API integration Contributing to AgentOps and GenAIOps
Software Engineer
. You will combine Site Reliability Engineering practices with modern agentic AI (reusable Skills, Model Context Protocol (MCP), and LLM..., and maintain production-grade AI agents, MCP tool integrations, and deterministic evaluation pipelines for automated operational
Integration Architect
AI integration patterns such as Model Context Protocol (MCP) or AI Gateway capabilities. Microsoft certifications such as: Azure
Solution Architect (Data and AI Platform)
, including MCP Establish secure, standardised best practices across data warehousing, integration and AI tooling Define inter... ingestion, streaming and processing technologies, API design, graph databases, and AI-enabled solutions including MCP
Platform Engineer- Edinburgh
) Azure Container Apps Azure AI Search Model Context Protocol (MCP) services and supporting infrastructure Establish
Solution Architect (Data and AI Platform)
, including MCP Establish secure, standardised best practices across data warehousing, integration and AI tooling Define inter... ingestion, streaming and processing technologies, API design, graph databases, and AI-enabled solutions including MCP
AI Solution Engineer
Enterprise Agent Platform, ADK) AI evaluation or AI security experience. Agentic development experience (MCP, multi-agent
Lead Software Engineer – AIML Data Platform (Data, Python, Containers/Kubernetes)
-governance environments, agent frameworks, MCP, RAG, and vector search, Kubernetes and modern observability, and real-time
Senior Backend Engineer (.NET & Python)
experience, including technologies such as MCP, RAG, agent orchestration, evaluations and observability tooling
Senior Product Manager, Data Foundry
such as MCP/API. This is an emerging commercial channel. Its core capabilities span the data models, taxonomies and integrations... and direct commercial sales, the platform is open - customers and partners can build on top of it through MCP and API access
Senior Software Engineer
developer portal. The Platform also offers AI Gateways, enabling API teams to onboard MCP servers and tools, manage credentials
Principal Full Stack Engineer (Agentic AI)
, LLM integration, MCP, agentic workflows, model evaluation, fine tuning. Cloud infrastructure expertise in the deployment