{"id":3283370,"url":"https://alion.io/job/hatch-it-sr-director-of-engineering-api","title":"Sr. Director of Engineering - API","company":{"id":8997,"name":"Hatch IT","domain":"hatchit.io","url":"https://alion.io/company/hatch-it","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":161000,"max_usd":302000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":2716},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"AI Agents","optional":false},{"name":"GCP","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Vertex AI","optional":false},{"name":"API Gateway","optional":true},{"name":"Google ADK","optional":true},{"name":"Google BigQuery","optional":true},{"name":"LangChain","optional":true},{"name":"Snowflake","optional":true}],"status":"live","first_seen_at":"2026-10-26T16:26:25Z","employer_posted_date":"2026-10-26","last_verified_at":"2026-11-11T11:20:01Z","board_verified":true,"closed_at":null,"days_open":15,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":15},"description":"hatch I.T. is partnering with Babel Street to find a Sr. Director of Engineering. Please see details below:\nAbout the Role\nBabel Street is seeking a Principal Engineer to lead Babel Street’s API and MCP platform strategy and delivery as we evolve toward an AI-native, agent-driven platform.\nThis is a hands-on, senior technical leadership role responsible for defining and delivering API-first platform capabilities that enable both developers and AI agents to interact with Babel Street’s services. You will lead the design and implementation of semantic APIs, Model Context Protocol (MCP) integrations, and context-aware service patterns that power next-generation intelligence workflows.\nThis role requires a finger-on-keyboard engineer who can both define direction and deliver foundational systems. You will partner closely with AI, Data, and Platform teams to ensure Babel Street’s APIs and services are consistent, discoverable, scalable, and optimized for agentic workflows.\nYou will work in close partnership with the Architecture function to align on long-term technical direction, ensuring API and MCP platform decisions are consistent with the company’s broader architectural vision while maintaining a strong focus on execution and delivery.\nThis is a hybrid role working out of either their Reston, VA or Somerville, MA office. Full remote may be considered.\nAbout the Company\nBabel Street is the trusted technology partner for the world’s most advanced identity intelligence and risk operations. They deliver advanced AI and data analytics solutions providing unmatched, analysis-ready data regardless of language, proactive risk identification, 360-degree insights, high-speed automation, and seamless integration into existing systems. Babel Street empowers government and commercial organizations to transform high-stakes identity and risk operations into a strategic advantage. The actionable insights we deliver safeguard lives and protect critical assets around the world. Babel Street is headquartered in Reston, Virginia, with regional offices in Boston, MA and Cleveland, OH, and international offices in Australia, Canada, Israel, Japan, and the U.K.\nWhy This Role Matters:\nThis role will be instrumental to Babel Street’s AI-native technology strategy. The API and MCP platform will serve as the interface layer between data, AI, and product capabilities, enabling agents, developers, and systems to interact seamlessly.\nThis is a high-impact, senior technical leadership role with broad influence across the organization and the opportunity to shape the future of Babel Street’s platform.The position spans four core domains:\nAPI Platform & Strategy\nYou will define and lead Babel Street’s API-first platform strategy, establishing consistent patterns for service design, versioning, discoverability, and governance.\nYou will help evolve the platform toward agent-ready APIs, ensuring services are consumable by both human developers and AI agents. You will establish standards for API consistency, reliability, and performance across the organization.\nYou will also work closely with product and engineering teams to ensure APIs are designed as first-class platform capabilities, not just service interfaces.\nMCP & Agent Integration\nYou will lead Babel Street’s Model Context Protocol (MCP) strategy and implementation, enabling agents and AI systems to interact with services in a standardized and scalable way. This includes defining patterns for:\nMCP service exposure \nTool and service discovery \nAgent-to-service communication \nContext-aware interactions \nYou will partner closely with AI and platform teams to enable agent-native workflows across the organization.\nSemantic APIs & Agent-Ready Interfaces\nYou will lead the design of semantic, agent-friendly APIs, where documentation becomes a first-class interface for AI-driven systems. This includes defining standards for:\nAPI descriptions optimized for agents \nSchema consistency and semantic modeling \nTool and service discoverability \nAPI documentation optimized for agent consumption \nYou will establish best practices for documentation-as-code, ensuring APIs are designed for both developers and AI systems.\nContext Management & Runtime Patterns\nYou will define patterns for context-aware APIs and services, including:\nContext management and retrieval \nContext caching \nSession and state management \nMemory-aware service interactions \nYou will help design scalable context-aware systems leveraging technologies such as Vertex AI Context Caching and related frameworks.\nKey Responsibilities:\nPartner closely with Architecture to define and lead Babel Street’s API and MCP platform strategy \nDesign and deliver semantic, agent-ready APIs \nEstablish MCP standards and implementation patterns \nDefine context management patterns for agent workflows \nPartner with AI and Data teams to enable agent-native architectures \nEstablish API governance and platform standards \nBuild foundational frameworks and reusable components \nProvide hands-on technical leadership and mentorship \nPartner with Google and other vendors on platform capabilities \nDrive adoption of API and MCP standards across engineering teams \nRequired Qualifications:\n10+ years of software engineering experience \nExperience operating at Principal Engineer or Staff+ level \nStrong hands-on experience building distributed systems \nExperience designing and building API-first platforms \nExperience with cloud-native architectures (GCP preferred) \nExperience building developer platforms or service-oriented architectures \nStrong system design and architectural thinking skills \nProven ability to lead cross-team technical initiatives \nPreferred Qualifications:\nHands-on work with Google Cloud Platform (GCP) \nFamiliarity with Vertex AI Agent Engine \nBackground in ADK and reasoning frameworks such as LangChain \nUnderstanding of the Model Context Protocol (MCP) \nExposure to data warehouse technologies like BigQuery and Snowflake \nKnowledge of Apigee or similar API gateway solutions \nProven ability to design semantic APIs for AI or agent-driven use cases \nExperience managing context or building memory systems \nDevelopment of agent-based architectures or orchestration frameworks \nExposure to Anti-Gravity \nWhat Success Looks Like:\n30 Days\nAssess current API and platform architecture \nDefine API and MCP platform strategy \nIdentify early opportunities for standardization \n60 Days\nDeliver initial platform frameworks and standards \nBegin rollout of semantic API patterns \nEstablish MCP integration approach \n90 Days\nAgent-ready APIs in production \nMCP-enabled services deployed\nClear platform standards adopted across teams\nMeasurable improvement in API consistency and developer 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