MCP Engineer

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an MCP Engineer on Anthropic's Enterprise team, you will be a hands-on technical bridge between Anthropic and our strategic partners developing Model Context Protocol (MCP) servers. You will serve as the first line of technical defense for consulting with partners, resolving their technical challenges, and helping accelerate enterprise deployments in critical verticals like Financial Services, Life Sciences, and Healthcare. This role directly impacts our Enterprise business by ensuring partner success in building and deploying MCP integrations at scale. Responsibilities: • Review and validate partner MCP server architectures for security, scalability, and enterprise compliance requirements • Guide partners through OAuth and enterprise authentication implementations • Provide technical consultation on deployment models (remote vs local), infrastructure patterns, and hosting architectures • Debug partner integration issues and provide hands-on technical support • Triage technical issues and escalate appropriately to relevant teams at Anthropic • Help bolster self-serve resources and documentation based on partner feedback • Collaborate with product teams to systematize partner feedback for MCP protocol evolution • Participate in partner technical forums, developer communities, and industry events • Technically contribute to joint solution development and reference architecture creation You may be a good fit if you have: • 4+ years of experience in technical partner-facing or customer-facing engineering roles • Strong programming skills with ability to debug across multiple languages and frameworks • Deep understanding of authentication protocols (OAuth 2.0, SAML, OpenID Connect) and enterprise identity management • Deep Experience with API integrations, SDKs, and developer tools • Experience developing local and remote MCPs • Experience with enterprise deployment patterns, containerization, and cloud infrastructure • Passion for developer experience and partner success The expected salary range for this position is: Annual Salary:$300,000—$320,000 USD Logistics Education requirements: We require at least a Bachelor's degree in a related field or equivalent experience. Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process