226 to 250 of 253 Model Context Protocol Jobs

safely, with the right permissions, and in ways enterprises can trust. We ship for claude.ai, Claude Code, Cowork, and the API. We own the MCP proxy that routes every tool call and the OAuth and token management that keeps connections authenticated. We’re also core contributors to the MCP spec … t. Key responsibilities Lead a team of engineers building the connectivity infrastructure that powers tool use across the company's product suite, from the MCP proxy to OAuth and token management Take an inclusive, equitable approach to hiring and coaching top technical talent, and maintain a high‐performing team Coach ...

infrastructure to scale impact beyond individual partnerships. Responsibilities Serve as a deep technical partner to mission-driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more Provide hands-on support … partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research Create technical presentations ...

facing engineering role – forward deployed engineering, technical consulting, or engineering advisory Experience with Claude Code enterprise deployment, AI agent integration into development workflows, or MCP server development External presence – writing, speaking, or community contribution in the software engineering or engineering leadership space Experience working alongside or within partner ecosystems such … Anthropic, Databricks, or AWS at a senior level Experience in a Palantir, Anthropic, DeepMind, or similar forward‐deployed engineering model #J-18808-Ljbffr ...

takes Nice to Have Former technical founder or CTO – you have built products and teams under commercial pressure and client scrutiny Experience with MCP server development, tool ecosystem integration, and enterprise agent deployment patterns Experience working alongside or within partner ecosystems such as Anthropic, or AWS at a senior level … External presence – writing, speaking, or thought leadership in the AI Engineering space Experience in a Palantir, Anthropic, DeepMind, or similar forward-deployed engineering model #J-18808-Ljbffr ...

complex patterns (e.g., ReAct, self‐reflection, hierarchical delegation). Experience in a post‐sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost‐per‐request) and techniques for optimizing state management and granular tracing. About the job As a Forward … yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between the company’s AI products and customer's live infrastructure ...

complex patterns (e.g., ReAct, self‐reflection, hierarchical delegation). Experience in a post‐sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost‐per‐request) and techniques for optimizing state management and granular tracing. About the job As a Forward … yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi‐agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including ...

complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to travel to regional stakeholders … yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production‐grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including ...

complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. About the job As a Forward … yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including ...

throughout the deal cycle, and providing technical support to the Sales Team. We are looking for someone who can architect solutions, integrate APIs and MCP servers, and operate as a trusted technical advisor to enterprise prospects, while sitting squarely within the commercial motion. Duties & Responsibilities: Engage with Prospects: Interact with … prospects and customers. Solution Architecture: Own proof-of-concept builds, data integration design, and pre‐sales architecture discussions. AI Workflow Integration: Design and prototype MCP server integrations so Conductor data surfaces natively in client AI workflows (ex. Claude, Copilot, GPT agents). Integration Templates: Build reusable integration templates and documentation ...

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 ...

This is a hands-on technical role with meaningful client exposure. You won't just build pipelines, you'll encode business logic into a context layer that makes AI genuinely useful on real commercial data. You'll deploy platforms for new brands, maintain and evolve existing ones, and help … handling raw data ingestion, structuring analytical output, and QA'ing every number before it reaches a stakeholder Extend and improve AI-integrated workflows including MCP servers, prompt engineering, and structured data pipelines that feed Claude-powered analytical outputs Own platform health and evolution, monitoring pipeline integrity, adapting the context ...

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 ephemeral, time-based, risk-scored credentials, scoped to task duration and issued ...

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 ...

gets better at automation, not when you write every test yourself. Use AI tooling as a force multiplier Embed AI assistants and MCP-connected tooling (browsers, issue trackers, internal APIs, documentation) into the day‐to‐day authoring, triage, and review workflow. Set the standards for how the wider team uses … role is judged on team-wide capability, not personal output. Fluency in using AI tooling day‐to‐day (Claude Code or similar agentic tools, MCP servers) to accelerate test design, authoring, triage, and review. Excellent communication: you can defend a framework choice to engineering leadership and pair with a junior ...

market is yours.Responsibilities: Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between Google’s AI products and customer's live infrastructure … Technical Discovery Sessions* French (Fluent)* German (Fluent)* Multi-agent Systems* LangGraph* CrewAI* ADK* ReAct* Self-reflection* Hierarchical Delegation* Post-sales* Technical Consulting* Large Language Model (LLM) Metrics* State Management Optimization* Granular Tracing* API Integration* Observability Frameworks* Development Best Practices #J-18808-Ljbffr ...

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. ...

infrastructure to scale impact beyond individual partnerships. Responsibilities Serve as a deep technical partner to mission‐driven organizations through advising on evals, agent architectures, context engineering, cost optimization, and more. Provide hands‐on support … partner engineering teams through pair programming, prototyping, and code contributions that accelerate their development. Develop public goods infrastructure that benefits entire ecosystems through benchmarks, MCP’s, and Agent Skills. Identify challenges unique to social impact partners, and contribute findings and improvements back to product, engineering, and research. Create technical presentations ...

journey: onboarding workshops, developer hackathons, live troubleshooting, executive security reviews, adoption working sessions. Build and ship working software (Claude Code plugins, agents, sub-agents, MCP integrations, Cowork skills) both as customer deliverables and as reusable field assets. Drive adoption of the Claude Code capabilities that make the product stick … agents, skills, hooks, MCP, headless mode, managed settings) and turn new capabilities into field-ready demos and guides within days of release. Own enterprise deployment and identity conversations: SSO (SAML/OIDC), SCIM provisioning, role, seat, and spend-limit management, sandbox and permission design. Sit credibly across from CISOs ...

e.g., Kubernetes) Strong debugging skills and the ability to navigate performance/security tradeoffs in production systems Comfort with ambiguity, and the ability to context-switch between reactive incident work and proactive product development Nice To Haves: Experience as a founder … early engineer at an infrastructure-focused startup, owning a product end-to-end Familiarity with LLM agents and agent frameworks (e.g., OpenHands, Agent2Agent, MCP) Experience running secure workloads in multi-tenant or untrusted environments (e.g., FaaS, CI sandboxes, remote notebooks) Exposure to snapshotting and restore techniques (e.g., CRIU, VM snapshots ...

Description: You will lead a small, high-output agentic engineering pod migrating AWS Lambda applications to Azure. Inspired by OpenAIs Harness Engineering model, your primary job is not writing code it is designing the harness: the scaffolding, constraints, and feedback loops that let Claude Code agents do reliable work. … coach: 70% building harness, 30% guiding the pod. Key Responsibilities Own and evolve the claude_code_forge scaffolding repo structure, CLAUDE.md templates, creating agents, MCP tool configs, and custom slash commands Decompose the AWS estate into depth-first migration work-packages with clear acceptance criteria agents can validate Enforce architecture ...

jobs Vercel does for many customers through the Solutions Architecture function. On your accounts, you do them deeper, more often, and with sustained context that a generalist SA can't match. The best TAMs save customers more than the cost of the engagement through this work alone. Scope … tools company (AWS, Cloudflare, MongoDB, Snowflake, Datadog, GitHub, etc.). Have hands‐on experience with AI agent development, particularly using the Vercel AI SDK, MCP servers, or similar frameworks. Have led FinOps or cloud cost‐optimization engagements at scale. Have run an annual technical roadmap workshop or “Well‐Architected Review ...

Doing Define the vision, strategy and roadmap for LSEG’s AI Core Platform. Own product direction for enterprise AI platform capabilities including AI Gateway, MCP SDK, IAM, orchestration, scale and shared platform services. Partner with Engineering to deliver secure, scalable and highly available platform capabilities. Establish platform standards, APIs … Bring Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems or equivalent experience. Strong understanding of AI platforms, LLM ecosystems, MCP Servers, API gateways, orchestration frameworks and enterprise security. Significant experience in Product Management, Platform Product Management or Developer Platform products. Experience delivering enterprise software platforms, APIs ...

London Stock Exchange Group is seeking a Lead ML Engineer to shape the next generation of enterprise AI platforms. You will design MCP servers and tools that expose internal systems to AI agents, implement skills that orchestrate tools and data, and collaborate with product teams to ensure governance, security … scalable performance across the MCP ecosystem. The role emphasizes building and integrating agentic capabilities with LSEG AI Assist, QAS, and MCP gateway, while working with #J-18808-Ljbffr ...

such as would be acquired through a taught Masters course. Knowledge Desirable Technical Specialism - Has specialist knowledge of AI-enabled architectures, including agentic systems, MCP/ACP patterns, orchestration layers, reusable agent capabilities, governed APIs, auditability and human oversight controls, and is experienced in advising on their safe application. Data … datasets are trusted, reusable and translated into actionable insight and measurable outcomes. Skills Essential Solution Architecture - Able to lead the solution architecture for an MCP-enabled intelligent orchestration layer, ensuring designs are modular, reusable, standards-aligned and capable of connecting AI-enabled products, data sources, agents, tools and operational workflows ...

this in an AI-first engineering culture. Every engineer has Claude Code with unlimited tokens and a sophisticated ecosystem of MCP servers, skills, and shared context. You’ll push the boundaries of what’s possible with AI-assisted development, both personally and through how you set up your teams. What … even further even faster. Every employee gets Claude Code with unlimited Opus 4.6 tokens and 1M context. We're investing heavily in platform capabilities (MCP servers, skills, shared tooling) that make AI-assisted development genuinely transformative. You'll be at the sharp edge of figuring out what this means ...