526 to 550 of 588 Model Context Protocol Jobs

J.P. Morgan is seeking an Applied AI ML Lead for the LLM Suite Engineering to design and deliver production-grade AI/ML and agentic solutions that integrate with existing systems. You will own technical ...

across Moody's business services, making capabilities consumable by AI agents. You will define how capabilities are exposed and packaged for agent consumption, evaluate MCP and MCP App options, and build prototypes for client validation. You will collaborate with Legal, Compliance, and Risk to ensure regulatory alignment, and drive data ...

environments, translating business and client needs into product or technical requirements Experience defining business or technical requirements for agentic systems and interoperability protocols (e.g., MCP, A2A) Demonstrated ability to partner effectively with Liquid AI, engineering, and product teams to shape and prioritize a roadmap from a business and commercial perspective … flexibility to adapt scope as Circanas approach to agentic technology continues to evolve Fluency in English (required) Preferred Familiarity with protocols such as MCP, A2A, and AgentUser Interaction Protocol (AG-UI) Familiarity with major AI agent ecosystems (e.g., Microsoft Copilot, Google Gemini, Anthropic Claude) from a business or strategic ...

environments, translating business and client needs into product or technical requirements Experience defining business or technical requirements for agentic systems and interoperability protocols (e.g., MCP, A2A) Demonstrated ability to partner effectively with Liquid AI, engineering, and product teams to shape and prioritize a roadmap from a business and commercial perspective … flexibility to adapt scope as Circanas approach to agentic technology continues to evolve Fluency in English (required) Preferred Familiarity with protocols such as MCP, A2A, and AgentUser Interaction Protocol (AG-UI) Familiarity with major AI agent ecosystems (e.g., Microsoft Copilot, Google Gemini, Anthropic Claude) from a business or strategic ...

agent actively probes and exploits standing permissions rather than stumbling onto them. That removes the "security through obscurity" cushion humans relied on. Familiarity with MCP as an integration/onboarding standard, and at least one agent harness (Claude Agent SDK preferred). Experience with just-in-time, task-scoped delegation … requiring a full Active Directory cleanup first. Define the currently undefined agentic runtime security model: containerised code execution, permission delegation to agents, and MCP-based tool access. Lead the transition from long-lived secrets toward ephemereal, time-based, risk-scored credentials, scoped to task duration and issued ...

Platform side, you lead the team that acts as Elliptic’s centre of excellence for building AI agents, owning the shared frameworks, patterns, MCP management and evaluation capability that every product team draws on. You are a two-way conduit for that centre of excellence: carrying its best practice … Platform function as a centre of excellence, owning the people and operating model behind Elliptic’s shared agent-building frameworks and patterns, MCP management, evaluation framework and shared AI infrastructure. Act as a two-way conduit for the centre of excellence: disseminate best practice and reusable approaches ...

backend services on AWS serverless paths, including authentication and tenant-scoped access patterns Shape how capabilities are exposed through OneSuite (streaming workflows, tool permissions, MCP integrations and stable CLI/API/MCP contracts) Set engineering standards (testing, CI/CD, deployment safety, observability) and mentor senior engineers through reviews … multi-tenant SaaS design, authN/authZ, tenant isolation, secrets management and operational securityExperience designing stable data contracts and CLI/API/MCP contracts, including schema evolution and consumer-facing data modelsProven technical leadership through mentoring, architecture decisions, code review and clear trade-off communication (without relying on direct ...

ambiguous business requirements into clear and compelling technical solutions and providing solutions and ideas on the spot. Strong enterprise integration knowledge across APIs,SSO, MCP, data warehouse. Hands-on experience with LLMs and agentic systems, whether through prompt engineering, tool calling, evaluation or agent orchestration. Strong judgement when assessing technical … entirely; the natural progression of what we’ve been building toward. The product is highly differentiated. It’s built around a structured workforce data model that makes AI reliable in an HR context, something no one else has gotten right. Customers notice the difference immediately. We’re backed ...

tooling used by engineers across Wise, including security, access to models and tools, telemetry and evaluation. Building an engineering knowledge base exposed through a MCP server, so engineers and AI agents can find trusted internal context when they need it. Leading AI enablement across engineering through hands-on workshops … maintainable and observable. Practical experience using agentic tools to deliver real user stories, not only prototypes. You know how to give agents the right context and constraints, review their output and take responsibility for the result. A genuine passion for AI developer tooling and a habit of learning ...

Security, including AI‐integrated APIs and model endpoints. Data protection, secure key management and data classification principles. AI tool and agent security, covering MCP server governance, tool approval workflows and session management. Cloud‐native architectures and distributed systems design patterns. Skills and Competencies Strong skills in technical documentation, architecture ...

treats that as part of the job, not a side project. What you will do Conduct in-depth analysis of client needs and context, identify where AI delivers real value, and challenge stakeholders to develop solutions that address the actual problem rather than the surface symptom Design, formalise … 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 ...

existing and emerging product lines, including the Talent CRM and Workforce Suite, and provides data-as-a-service to customers through channels such as MCP/API as an emerging commercial channel. Its core capabilities span the data models, taxonomies and integrations that underpin talent and workforce decisions across … right. Beyond internal embedding and direct commercial sales, the platform is open — customers and partners can build on top of it through MCP and API access. You will work with product leadership to set the strategy, agree what the platform provides internally, decide what becomes customer-facing, and define ...

looks like after 3 monthsOutbound volume and coverage are consistent across regions. Nobody asks "why did outbound drop last week?"Leadership references your ROI model in planning: cost per meeting, cost per pipeline dollar, trend. The top three SDR pain points from your first quarter are root-caused … welcome, not required. Global comfort. Four regions, several languages, overlap with US hours. Big Advantage:: hands-on LLM tooling beyond vendor UIs (Claude Code, MCP, custom agents); time in or working with SDR/BDR and demand gen function in B2B SaaS.The stack you'll driveSalesforce · Qualified · Salesloft · UserGems · Claude ...

suite of features that give developers everything they need to navigate design files and transform designs into code. In 2025, we introduced Figma's MCP, accelerating how ideas get to production. Looking to the future, we aim to further reduce the barriers between design to code and code to design … production. Join us in shaping the future of AI at Figma! What you'll do at Figma: Build and evolve Dev Mode our MCP tools and Make -, Figma's leading tools for dev/design collaborationTake part in building new 01 products within the agentic coding spaceCollaborate with designers ...

domain experts to solve real problems in drug discovery, clinical development, and commercial operations. Day to day: Design and productionise scalable GenAI solutions (RAG, MCP-style integrations, selective agentic patterns) Translate complex scientific and business problems into robust, well-integrated AI system designs Set the engineering bar for GenAI/… enrichment, vector stores alongside relational databases) Strong instincts for production trade-offs: monitoring drift, cost, latency, and reliability at scale Experience with prompt/model versioning, feature flags, and controlled rollouts Big plus if you also have: GenAI experience in life sciences, biopharma, or other regulated environments Familiarity with ...

Software Development Engineer – Edge Platform Location: London Working Model: 5 days on-site Contract: 12 months – PAYE Working Hours: 40 hours per week ROLE OVERVIEW We are looking for an experienced Software Development Engineer to join a large-scale Edge Platform engineering team in London. You will work … code and contribute to the reliability and operational excellence of large-scale distributed systems. KEY RESPONSIBILITIES • Design, build and extend features for a remote MCP platform • Develop highly available backend and distributed services • Build production solutions using Java, Kotlin and TypeScript • Work with AWS services including EC2, NLB, ElastiCache, Lambda ...

rapidly adapt to new stacks. Hands-on experience with Claude Code (or equivalent agentic CLI tooling — Cursor, Codex CLI, Cline, Aider): writing skills, configuring MCP servers, and using AI tooling as part of daily development workflow. Understanding of AI-native development practices: prompt-first workflows, AI pair programming, agent-assisted … templates, pipeline components, and automation scripts that are made centrally available to engineering teams. Implement Claude Code (or equivalent agentic CLI tooling) skills and MCP servers based on designs from senior team members — testing, documenting, and iterating based on squad feedback. Support the golden path tooling: maintaining project templates, updating ...

evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third‐party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM‐powered enrichment steps, and a focus on improving data quality. Experience … expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. ...

Data Models. Work closely with Domain & Enterprise architects to agree on various critical architecture design decisions which in turn drives/impacts the data model/data architecture. More about you: An experienced Data Architect with a passion for creating order within reporting structures for Democratised usage at Enterprise … with different modelling methodologies - 3NF, Dimensional and Data Vault Abreast of the latest industry developments across data (Medallion Architecture, Data Mesh, Generative & Agentic AI, MCP, etc). Strong communication and influencing skills used to drive the implementation of data design best practice at the Engineering and Product Manager levels within ...

client experience through faster reporting and richer performance insights without increasing operational overhead. They will also design an automation architecture based on an MCP-first approach that allows tools to be replaced easily, new agents to be introduced rapidly, and the platform to evolve with changing technology. The CPO will … infrastructure into the network's primary activation capability. They will develop a unified activation layer that provides a consistent data model and buying interface across paid social and programmatic environments while managing strategic technical partnerships, API integrations, certifications, and evolving industry standards. Navigator's first-party data represents ...

person their engineers trust and come to directly, not through anyone else Build with the current AI stack day to day, RAG, agent frameworks, MCP or similar, evals Bring what you're seeing on the ground back to the team, it'll actually change what gets built next at this …/or TypeScript, from things you've actually built Hands-on experience with RAG, an agent framework like LangChain or LangGraph, and ideally MCP, from building with these, not just plugging in a vendor's version You use AI coding tools day to day already, Claude Code, Cursor, or similar ...

manage risk, non-functional requirements (NFRs), and technical debt. Agentic AI & Commerce Innovation: Design AWS-based agentic AI platforms (orchestration, RAG, memory, guardrails, and MCP). Establish reusable patterns. Internal Business Engagement: Build trusted relationships with senior stakeholders, translate complex concepts, and facilitate technical discovery workshops. Proactively identify, shape … patterns and appropriate integration components). Agentic AI & Commerce: Strong understanding of building agentic AI platforms on AWS (e.g., Bedrock, orchestrations, RAG, gateways/MCP) and awareness of emerging concepts and standards. DevOps & Quality Automation: Infrastructure-as-Code (Terraform/CDK/CloudFormation), CI/CD pipelines, and a strict ...

create reusable components, improve developer tooling and documentation, support consuming teams, and help shape modern design-to-development workflows; using Figma, MCP integrations, agentic cloud workflows and AI-assisted engineering tools. This is not an "AI for AI's sake" role: the goal is practical engineering impact, better component reuse … they improve quality, speed, consistency, or developer self-service. Help make DDS documentation and component metadata more useful to humans and AI agents through MCP-ready context, examples, and clear constraints. Lead through senior engineering craft: architectural judgment, code review, mentoring, pragmatic delivery, technical clarity, and high-quality communication. ...

bring. Build the data layer our agents act on: help connect our data to the AI agents and services we're building, including through MCP connectors, so they get the right context at the right time. Shape what we build: work with product and other stakeholders to scope problems … have, not essential : Experience working on customer-facing data integrations such as HRIS or payroll feeds via SFTP and in EDI format Experience with MCP server development , or different ways of preparing data for AI agents such as ontology modelling, context, knowledge graphs, and semantic layers. ...

teams, and implement robust evaluation and memory strategies to ensure safe, scalable AI delivery. The role emphasizes context pipelines, memory architectures, and enterprise MCP integration, with a focus on responsible AI and regulatory compliance within a high-trust financial services setting. #J-18808-Ljbffr ...