AI Platform Context Lead ID84742

AgileEngine • Baltimore, MD

13d

About The Position

AgileEngine is seeking an AI Platform Context Lead to build and maintain the context and knowledge layer supporting an enterprise AI ecosystem. The role combines knowledge-graph design, semantic retrieval, RAG, and agent integrations across Slack, Google Workspace, Glean, and AI assistants. The lead will improve answer quality through evaluation, governance, and reusable self-service patterns, and turn pilots into reliable, production-ready capabilities.

Requirements

• Must be authorized to work for any employer in the United States; the company is unable to sponsor or take over employment visa sponsorship.
• At least 6 years of experience in development roles, with hands-on experience as a Tech Lead.
• Experience designing and/or owning a knowledge graph or enterprise context/retrieval architecture end to end.
• Demonstrated experience building production-quality AI agents, skills, or integrations using MCP, function calling, RAG, and enterprise search.
• Ability to distinguish wrong retrieval from correct retrieval with missing context in an evaluation trace, and prioritize fixes by business impact.
• Hands-on experience administering or engineering enterprise SaaS, search, or AI platforms such as Slack, Google Workspace, Glean, Claude, or ChatGPT.
• Strong systems-administration background, including identity and access management, configuration, monitoring, and incident response.
• Experience working across multiple business functions and creating checklists others can use independently to scope work.
• Strong troubleshooting, technical writing, and stakeholder-communication skills, with the ability to lead through influence without direct authority.
• Upper-intermediate English level.

Responsibilities

• Design, curate, and continuously improve the company context and knowledge graph, managing schema, coverage, freshness, retrieval quality, and accuracy and efficiency baselines.
• Review agent and skill outputs to identify context-related failures, then prioritize fixes so intent-breaking gaps are resolved.
• Maintain cross-team visibility so systemic context gaps can be addressed architecturally rather than repeatedly patched.
• Partner with subject-matter experts to design, build, test, and maintain AI agents, skills, prompts, and workflows using MCP, function calling, and comparable frameworks.
• Determine whether a need is best addressed by a skill, workflow, connector, or knowledge-graph grounding.
• Translate platform strategy into technical designs, integrations, and implementation plans, evaluating platform capabilities and turning pilots into production-ready capabilities.
• Ensure implementations are scalable, secure, and aligned with organizational standards.
• Build and maintain connectors, APIs, and RAG and semantic-search patterns while preserving source-system permissions.
• Build and maintain discovery tooling and question sets that help other teams scope AI use cases independently.
• Enable functional groups to curate and maintain their own context through appropriate tooling, patterns, and guidance.
• Establish testing and evaluation practices for agent output quality, reliability, and safety.
• Configure, administer, and maintain Slack, Google Workspace/Gemini, Glean, and other AI assistants.
• Apply access-management, monitoring, and change-control best practices, and troubleshoot complex platform issues.
• Implement technical controls for access, data retention, and sensitive-data handling in partnership with security, privacy, and compliance teams.
• Identify connectors that need elevated or write access during design and route them to security for review.
• Maintain technical documentation, runbooks, and vendor coordination.
• Maintain incident-response and service-continuity procedures.
• Drive continuous improvement in platform reliability, search quality, and cost efficiency.

Benefits

• Professional growth through mentorship, TechTalks, and personalized growth roadmaps.
• Competitive USD-based compensation.
• Budgets for education, fitness, and team activities.
• Projects involving modern solutions and top-tier clients, including Fortune 500 enterprises and leading product brands.
• Flextime, with options to work from home or go to the office.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed