Babel Street is seeking a senior technical leader to lead its API and Model Context Protocol (MCP) platform strategy and delivery as the company evolves toward an AI-native, agent-driven platform. The role is described in the posting as a Principal Engineer and is hands-on, combining technical direction with implementation of foundational systems. It will shape API-first platform capabilities that enable developers and AI agents to use Babel Street services, including semantic APIs, MCP integrations, and context-aware service patterns. The position partners closely with Architecture to align API and MCP decisions with the broader architectural vision while emphasizing execution and delivery. It also works with AI, Data, Platform, product, and engineering teams to make services consistent, discoverable, scalable, and suitable for agentic workflows. The role covers API platform strategy and governance; MCP and agent integration; semantic, agent-ready interfaces and documentation; and context management and runtime patterns, including caching, session and state management, and memory-aware interactions. The position is hybrid from the Reston, Virginia, or Somerville, Massachusetts, office; full remote may be considered. Babel Street describes the role as instrumental to its AI-native technology strategy, with broad organizational influence and responsibility for enabling agents, developers, and systems to interact with data, AI, and product capabilities. The posting outlines success milestones at 30, 60, and 90 days, including assessing the current platform, defining standards and strategy, delivering initial frameworks, and deploying agent-ready APIs and MCP-enabled services. The stated salary range is $220,000–$240,000 USD, based on qualifications and experience.
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Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed