Ai Tech Lead

Ancient | The Wisdom Of Technology; Cachoeirinha; Presencial; BRL 180 000 - 280 000; Tempo integral

Resumo da oferta

Ancient | The Wisdom Of Technology em Cachoeirinha, RS procura um AI Tech Lead para liderar a plataforma de IA colaborativa da empresa. Você será responsável por projetar, implementar e manter agentes de IA, fluxos de trabalho e integrações seguras, garantindo produção estável e escalável.

O cargo exige visão técnica, capacidade de influenciar sem autoridade direta, e experiência com Slack, Google Workspace, Glean, Claude e ChatGPT em ambientes empresariais.

Qualificações

• Experiência comprovada em construir e manter agentes de IA em produção.
• Conhecimento de conceitos de IA, fluxos de trabalho de agentes e integração via APIs.
• Capacidade de traçar padrões técnicos, orientação por dados e governança de dados.
• Experiência com plataformas empresariais SaaS e segurança de dados.
• Habilidade de liderar por influência e comunicar-se com stakeholders.

Responsabilidades

• Projetar, construir, testar e manter agentes de IA, prompts, ferramentas e fluxos.
• Integrar Slack, Google Workspace/Gemini, Glean e assistentes de IA empresariais.
• Garantir controles de acesso, segurança e conformidade de dados.
• Liderar revisões técnicas e orientar colegas através de exemplo.
• Avaliar novas capacidades de IA e recomendar soluções ao leadership.

Conhecimentos

AI agents design

APIs integration

Security & governance

Production quality

Problem solving

Ferramentas

Slack

Glean

Gemini for Workspace

Claude

ChatGPT

Descrição da oferta de emprego

AI Tech Lead Ancient | The Wisdom of Technology cachoeirinha, rs, estado do rio grande do sul, BR

Descrição da vaga

Preferred Time Zone: CT Must-Have Skills: Demonstrated experience building and maintaining production-quality AI agents, skills, assistants, workflows, or integrations. 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.