Wanted: Ai Tech Lead

Wanted: Ai Tech Lead - Detalhes da Vaga. ● Strong understanding of AI application concepts, including agents and agentic workflows; skills, tools, and function calling; Model Context Protocol; prompt and context design; retrieval-augmented generation; enterprise search and data connectors; grounding, citations, memory, and context management; model and agent evaluation; and AI safety and access controls. ● Proven ability to move solutions from proof of concept to stable, supportable production services. ● Experience integrating systems through APIs, SDKs, webhooks, identity services, or automation platforms. ● Working knowledge of enterprise security, privacy, compliance, and data-governance principles. ● Significant hands-on experience administering or engineering enterprise SaaS, collaboration, productivity, search, automation, or AI platforms. ● Practical experience with several of the following: Slack, Google Workspace, Gemini for Workspace, Glean, Claude, ChatGPT, or comparable enterprise AI products. ● Strong knowledge of systems-administration practices, including identity and access management, role-based permissions, configuration management, logging, monitoring, incident response, and change management. ● Strong troubleshooting, technical writing, architecture documentation, and stakeholder-communication skills. ● Ability to lead technically through expertise and influence without direct people-management authority. ●Nice-to-Have Skills:Experience with single sign-on, SCIM provisioning, OAuth, service accounts, delegated authorization, and enterprise identity providers. ● Familiarity with cloud platforms, infrastructure as code, source control, CI/CD, secrets management, and observability. ● Software development experience with Python, TypeScript, JavaScript, or similar languages. ● Experience creating MCP servers or integrating MCP-compatible clients and tools. ● Experience operating an enterprise AI platform or supporting an internal AI enablement program. ● Familiarity with responsible-AI practices, AI security frameworks, and model or agent evaluation methodologies. ●Notes: No direct reports. ● This role is more leading through influence by setting standards, mentoring other admins/engineers, etc. ●Strong preference in AI technology depth, with lighter platform administration experience rather than the other way around. ●Scope of Work: The AI Platform Technical Lead is the hands-on technical owner of the organization''s general-purpose, AI-enabled collaboration ecosystem, spanning Slack, Google Workspace with Gemini, Glean, and general-purpose AI assistants such as Claude and ChatGPT. ● Working within the strategy and priorities established by the organization, this role translates platform direction into secure, scalable, and supportable technical solutions. ● The Technical Lead configures, maintains, and improves these platforms based on data and feedback; builds agents and reusable skills; implements integrations; establishes technical patterns; and guides other contributors through technical expertise and example. ●Key Responsibilities:· Design, build, test, and maintain AI agents, skills, prompts, tools, workflows, and automations. ●· Build AI solutions using MCP, function calling, APIs, agents, and integration frameworks. ●· Translate business needs into technical designs, prototypes, and production-ready AI capabilities. ●· Build secure integrations across Slack, Google Workspace/Gemini, Glean, AI assistants, and enterprise systems. ●· Develop APIs, data connectors, webhooks, search integrations, and RAG/semantic-search solutions. ●· Ensure AI systems preserve source-system permissions, access controls, data security, and governance requirements. ●· Test and evaluate AI solutions for quality, reliability, safety, performance, and data grounding. ●· Administer and optimize enterprise AI platforms, including access, configurations, integrations, monitoring, and lifecycle management. ●· Troubleshoot complex AI platform, integration, connector, and data-retrieval issues. ●· Establish standards for AI agents, integrations, configurations, testing, deployment, and security. ●· Lead technical solution reviews, mentor contributors, and serve as the senior technical escalation point. ●· Evaluate emerging AI capabilities and provide technical recommendations to platform leadership. ●. Requisitos para participar do processo. ● . O que oferecemos.