Artificial Intelligence

• Design, develop, and implement AI agents focused on security solutions using leading frameworks and industry tools;
• Integrate and operationalize large language models (LLMs) and knowledge bases, automating and optimizing critical processes using Python and modern APIs;
• Evaluate and recommend GenAI platform alternatives (e.g., AWS Bedrock, Azure AI, Google Vertex AI) for building custom intelligent agents, considering scalability and security factors;
• Implement and consult on vector databases (e.g., Pinecone, Weaviate, Milvus, ChromaDB) to ensure efficient storage and retrieval of information;
• Document developed solutions clearly to promote technical knowledge sharing across teams;
• Act as an AI advocate, delivering trainings, talks, and sharing AI security best practices with other development teams;
• Collaborate with multidisciplinary squads to propose and implement innovative solutions aligned with business needs and security culture;
• Automate deployment and monitoring processes for agents and models in cloud environments using tools such as Docker, Kubernetes, Terraform, and CI/CD.

Developer, Generative AI – Senior

• Strategy and product direction: define the long-term vision and roadmap for Mobile, Growth and Patient Engagement initiatives, ensuring strategic coherence across squads and alignment with Conexa’s business objectives. Set priorities, make trade-offs and protect the team’s focus against competing demands from multiple areas.
• Squad leadership and people development: directly lead the PMs and teams responsible for the Mobile, Patients, AI and PLG squads, creating space for mid-level leaders to grow, make decisions and take ownership. Act as a mentor and a constructive challenger to the teams’ talents.
• Governance of AI Products strategy: initially lead the AI squad with an explicit mandate to evolve the company’s AI strategy: define which capabilities should be built as reusable platforms, which should be absorbed by vertical squads, and how to ensure that AI becomes a distributed competency — not a silo — over time.
• Cross-functional orchestration: coordinate engagement initiatives with Operators, B2B clients, Healthcare Professionals, Digital Hospital and Marketing/Performance, ensuring the patient penetration strategy is synchronized with Conexa’s commercial and operational strategy. Serve as a bridge between product and business.
• Metrics, performance and data-driven decision-making: establish and monitor core engagement KPIs (activation, retention, no-show, NPS, conversion of critical journeys), translating data into decisions. Build, in partnership with the Performance team, the relationship cadence and growth mechanisms that underpin product growth.
• Building the operating model: design the structure, rituals and processes for the area — including how squads interact with each other, with technology and with business teams. Reduce reactive operations ("firefighting") and install a dynamic of structural evolution.
• Institutional representation: represent the engagement and AI strategy to internal stakeholders (C-Level, business areas) and, when applicable, external stakeholders (B2B clients, operators, strategic partners).

Head of Patient Engagement – AI Products

• You will be a strategic Architect within the EY Fabric post-sales organization, responsible for defining repeatable AI and GenAI architecture patterns that enable large-scale adoption of EY Fabric
• Create reference architectures, accelerators, and guidance to help engineering and delivery teams implement AI solutions consistently
• Define EY Fabric AI reference architectures covering AI factory, OpenAI integrations, and GenAI workloads
• Develop AI accelerators, including architecture frameworks, starter kits, integration templates, deployment patterns, evaluation frameworks, and monitoring patterns

Senior Domain Architect – AI

• Ajudar grandes empresas a transformar o potencial da AI em impacto real nos negócios
• Coordenar humanos e agentes de IA para maximizar eficiência de entrega
• Mapear o Value Stream (VSM) do SDLC para identificar gargalos, filas e desperdícios no fluxo de entrega
• Definir onde e quando agentes de IA devem atuar em cada etapa do ciclo de desenvolvimento
• Coordenar fluxos entre humanos e agentes, gerenciando dependências, exceções e handoffs
• Monitorar e atuar sobre métricas de Lead Time, Cycle Time, Flow Efficiency e BCP/FTE
• Estabelecer políticas de decisão autônoma para agentes — o que avança sem revisão humana e o que exige validação
• Reformular rituais ágeis (refinamentos, reviews, retrospectivas) para o contexto agentic
• Garantir aderência a padrões de arquitetura, qualidade e compliance nas entregas geradas por IA
• Conduzir upskilling contínuo do time e engajar stakeholders na adoção do novo modelo

AI Orchestrator

• Analyze and interpret complex data, identifying opportunities to optimize processes and drive innovation in BackOffice and Product Development.
• Develop and implement interactive dashboards and intelligent reports using Business Intelligence (BI) tools.
• Collaborate with multidisciplinary teams to understand business challenges and propose AI-based solutions.
• Support the development of Machine Learning and Deep Learning models, applying advanced techniques such as natural language processing (NLP), using LLMs, AI agents, and predictive analytics.
• Participate in digital transformation projects, providing data-driven insights for continuous innovation.
• Communicate results and recommendations clearly and strategically to stakeholders.

AI Analyst

• Your mission will be to lead the company’s cultural and technological transformation by identifying opportunities, designing AI solutions, and accelerating operational efficiency and the creation of new products/services.
• AI Evangelism and Culture: Promote the use of AI tools (Generative AI, machine learning, automations) across the company’s departments by delivering workshops and training teams.
• Opportunity Mapping: Analyze the company’s current processes to identify bottlenecks that can be resolved or optimized using AI.
• Solution Development: Design, test, and implement advanced prompts, automated workflows (AI agents), and integrations of AI tools into day-to-day operations.
• Innovation Project Management: Lead open innovation initiatives, acting as a bridge between the company, startups, technology vendors, and the internal IT/development team.
• Trend Analysis: Continuously monitor the technology market to ensure the company remains at the forefront of AI and emerging tools.
• Metrics and Results: Define and track innovation KPIs, demonstrating the ROI (return on investment) of implemented AI solutions.

Innovation and Artificial Intelligence Specialist – AI

• Manage the full lifecycle of CAI (Conversational AI) deployments, from planning through production launch.
• Provide delivery leadership for the squad, ensuring alignment, prioritization and smooth collaboration among UX, Development, QA, Product and other areas.
• Elicit, prioritize and validate business and technical requirements, ensuring clarity and squad readiness.
• Coordinate schedules, dependencies, risks and deliverables to ensure deployments are delivered on time and within scope.
• Own communication with clients and stakeholders during deployment, managing expectations and alignment.
• Ensure continuous alignment between business objectives, technical delivery and user experience.
• Define, track and report deployment success metrics with a focus on adoption, quality and business impact.
• Proactively identify blockers, drive decisions and translate complexity into actionable execution plans.
• Support go-live and stabilization phases, ensuring confidence, satisfaction and readiness to scale.

AI Deployment Manager

• Participar do Bootcamp de Engenharia de IA da triggo.ai é entrar em uma jornada de aprendizado acelerado, prática e conectada às demandas reais do mercado.
• Ao longo do programa, os participantes terão contato com tecnologias, conceitos e desafios que fazem parte do dia a dia da Inteligência Artificial, desenvolvendo não só conhecimento técnico, mas também visão de solução, pensamento crítico e capacidade de execução.
• Mais do que um programa de formação, o bootcamp é uma oportunidade para evoluir rápido, aprender com profissionais experientes, ampliar repertório em engenharia de IA e ganhar visibilidade em um ambiente que valoriza performance, curiosidade e vontade de construir.

Engenheiro de IA

• Lead strategic teams focused on generative AI solutions and platform modernization.
• Define and implement strategies for the use of AI agents across large platforms.
• Manage technology integration projects using tools such as Amazon Bedrock and Microsoft Foundry.
• Drive the continuous evolution of solutions, aligning business demands with technical advancements.
• Ensure the efficient use of AI agents for automation and modernization of applications in cloud environments (AWS).
• Foster documentation practices, performance monitoring, and knowledge sharing within teams.

Artificial Intelligence Manager

• Discovery & Business Transformation: Partner directly with client executives and non-technical business leads to audit operational workflows, identify bottlenecks, and map out strategic, high-impact AI digital transformation roadmaps.
• Rapid Prototyping & Solution Shaping: Independently design, build, and deploy rapid Proof of Concepts (POCs) and MVPs using prompt engineering, AI agents, RAG, and modern development/automation platforms (e.g., n8n, Zapier, Cursor, Lovable, Replit).
• Cross-Functional Bridge & Delivery: Serve as the core translator between business units and enterprise engineering squads, turning successful scrappy prototypes into clearly scoped production requirements, data flows, and functional specs.
• Risk & Reliability Mitigation: Proactively identify and address implementation risks regarding data privacy, enterprise security, system hallucinations, and operational reliability.
• Commercial & Strategic Growth: Identify opportunities to scale standalone pilot projects into broader enterprise implementations or long-term service agreements, specifically mapping out AI ecosystems across marketing technology and customer experience (CX) architectures.

Forward Deployed AI Consultant – Tech Consulting, Digital Agency

• Desenvolver soluções robustas e escaláveis em Python para projetos de inteligência artificial.
• Projetar e implementar pipelines com Large Language Models (LLMs), incluindo integração com APIs de modelos de linguagem e orquestração de fluxos de inferência.
• Construir e evoluir sistemas de Retrieval-Augmented Generation (RAG), conectando bases de conhecimento a modelos de linguagem para respostas mais precisas e contextualizadas.
• Desenvolver e refinar estratégias de prompt engineering para otimizar o desempenho de modelos em diferentes casos de uso.
• Definir padrões técnicos e promover boas práticas de codificação, segurança e performance junto ao time.
• Liderar a resolução de questões técnicas críticas que envolvam múltiplos sistemas e áreas do negócio.
• Criar e manter pipelines de CI/CD eficientes, diagnosticando e solucionando falhas em ambiente produtivo.
• Propor arquiteturas para APIs com foco em alta confiabilidade e alinhamento estratégico.

Senior Engenheira de Inteligência Artificial

• Define the architecture for AI-based solutions;
• Design integrations between LLMs, RAG, and multi-agent systems;
• Ensure scalability and resilience in distributed environments;
• Lead critical technical decisions and support the team through mentoring;
• Translate business needs into robust AI solutions.

Senior Artificial Intelligence Specialist

• Accelerate the deployment of the Agentic SDLC within our operations
• Demonstrate efficiency gains and accelerate client differentiation
• Participate in mapping current processes and defining acceleration plans

Senior Manager – AI Orchestrator

• Lead the strategy for adopting generative AI and LLMs across the software development lifecycle;
• Work alongside squads to accelerate productivity, improve efficiency, and reduce cycle time;
• Assess teams' maturity and drive technical and cultural evolution plans;
• Promote change management initiatives and share AI best practices;
• Create content, playbooks, and internal communities on using AI in development;
• Evaluate and integrate AI tools into the development pipeline (code review, testing, documentation, and code generation);
• Work with developers and tech leads to configure environments, prompts, and AI-assisted workflows;
• Ensure governance, security, and best practices in the use of LLMs.

Senior AI Delivery Champion

• Desenhar e custodiar a Estratégia Central de Governança de Dados (2026–2028), definindo horizontes, prioridades e critérios de evolução para contextos nacionais e internacionais.
• Revisar, homologar e simplificar políticas de dados (acesso, qualidade, privacidade, classificação, retenção e custo/eficiência), garantindo aderência regulatória à LGPD e ao GDPR aplicados a dados em nuvem.
• Traduzir diretrizes normativas em controles executáveis (policy-as-code) em coordenação com os times técnicos de dados.
• Atuar como trusted advisor na migração da plataforma de dados para o Google Cloud Platform, garantindo a aplicação de boas práticas de governança nativa em BigQuery, Dataplex/Data Catalog, IAM e DLP, em parceria com o Google.
• Operar o Programa de Data Stewardship — incluindo seleção, onboarding, rituais, calendário e playbook por domínio — e gerir indicadores de adoção (NPS interno, % de stewards ativos, % de dados certificados).

Data & AI Manager, Data Governance Specialist

• Analyze end-to-end creative workflows to identify automation opportunities, operational inefficiencies, and areas where AI can accelerate content production without compromising creative quality or brand consistency.
• Design and implement scalable AI-enhanced workflows that streamline creative operations, improve delivery speed, and support high-volume content production across multiple channels and formats.
• Partner closely with creative directors, producers, designers, and content teams to understand workflow requirements, operational constraints, and creative objectives, translating them into effective AI-powered solutions.
• Drive continuous process improvement initiatives by monitoring workflow performance, identifying bottlenecks, and optimizing team productivity, output velocity, and operational efficiency.
• Configure and customize AI-powered creative platforms such as Adobe Express, Figma, Pencil, Typeface, and GenStudio to align with client brand guidelines, approval structures, and creative workflows.
• Build and maintain automated content creation pipelines leveraging existing AI tools, creative platforms, and workflow automation solutions.
• Establish governance frameworks, quality control standards, and approval processes to ensure responsible, brand-safe, and consistent use of AI-generated creative assets.
• Lead integrations between AI creative platforms and existing technology ecosystems, including DAMs, CMS platforms, project management tools, and collaboration systems.
• Develop and facilitate training programs, workshops, and enablement sessions to help creative teams effectively adopt AI tools and accelerate workflow execution.
• Lead phased AI solution rollouts, ensuring smooth implementation, stakeholder alignment, and strong adoption across cross-functional creative teams.
• Mentor creative operations and production teams on AI workflow optimization strategies, operational best practices, and scalable content production methodologies.
• Provide ongoing support and guidance throughout the adoption journey, helping teams adapt processes, solve workflow challenges, and maximize the impact of AI-enabled creative operations.

AI Creative Operations – Marketing

• Own outcomes end-to-end — not tasks, not tickets. You pick a problem, architect the AI-powered solution, ship it, and measure the impact yourself.
• Build agentic systems — design autonomous loops that reason, act, and iterate. Think agents that handle workflows, not just answer questions.
• Deploy autonomous pipelines end-to-end — no human in the middle. From trigger to result, your systems handle the reasoning, the actions, and the handoffs. You measure output, not effort.
• Operate as a one-person company — scope, prioritize, execute, and iterate with radical ownership. AI is your team.
• Cross-pollinate across CloudWalk — what you build in your domain becomes a blueprint for every other team.

AI Specialist

• Lead applied Artificial Intelligence learning experiences
• Help professionals, teams, and organizations integrate AI

Artificial Intelligence Instructor

• Você integrará a um time de IA da Zup, para ajudar a construir produtos que usam IA Generativa para resolver problemas reais do banco Itaú.

Engenheira de Inteligência Artificial – Sênior

• Garantir que as soluções de IA funcionem de ponta a ponta em ambiente produtivo
• Integrar agentes de IA com sistemas internos e externos (APIs, bancos, etc.)
• Estruturar automações e orquestrações de fluxos
• Realizar deploy e garantir funcionamento em produção
• Monitorar soluções (logs, erros, performance)
• Acompanhar o comportamento dos agentes em produção
• Identificar falhas e atuar na correção e melhoria contínua
• Garantir organização e padronização das integrações e fluxos
• Apoiar o time com feedback sobre funcionamento real das soluções

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