Artificial Intelligence

• Lead end-to-end process transformation and AI-enabled projects, from discovery through implementation and benefits realization
• Define project scope, milestones, risks, dependencies, and success metrics
• Manage multiple initiatives simultaneously, ensuring on-time and on-budget delivery
• Conduct As-Is and To-Be process mapping using BPMN, SIPOC, or other tools, including value stream mapping
• Identify inefficiencies, bottlenecks, and improvement opportunities across business processes
• Translate business requirements into technical solutions with Business stakeholders, IT, Data Science, and AI teams
• Support change management activities, including communication, training, and adoption
• Design future-state processes integrating AI, automation, and digital tools
• Identify, assess, and prioritize AI and automation use cases, including GenAI, RPA + AI, OCR, NLP, and predictive analytics
• Support PoCs, pilots, and scale-up of AI solutions
• Apply and reinforce AI governance, compliance, and ethical AI principles
• Define and track KPIs, value realization, and benefits
• Ensure documentation, standards, and controls are properly maintained
• Act as a trusted partner to business leaders and functional teams
• Facilitate workshops, process deep dives, and design sessions

AI Project Junior Manager

• Guide teams in transforming knowledge into manuals, contexts, and materials for AI agents
• Design conversations, including objectives, tone, user profiles, and the expected experience
• Configure and maintain agents in n8n, including prompts, tools, and SQL queries, in partnership with BI and Technology teams
• Test and monitor real conversations and turn failures into fixes and new test cases
• Document prompts, protocols, and decisions in the corporate environment
• Serve as a point of reference for Sales, Support, Marketing, and Education
• Identify needs, maintain the AI backlog, and present priorities to Product leadership
• Create methods and reusable best practices for other teams
• Train and operate AI agents used by cinema chains, transforming business knowledge into reliable responses about ticketing and customer service

Senior AI Analyst

• Support applied research and experimentation focused on the use of Generative AI.
• Assist with the configuration and parameterization of AI agents based on knowledge bases and structured data.
• Conduct practical, functional, and behavioral testing of Generative AI platforms and large language models (LLMs).
• Organize, document, and structure experiment results, hypotheses, and model-generated responses.
• Collaborate on data gathering, basic data processing, and data interpretation to analyze agent performance.
• Consolidate and analyze user feedback to propose continuous improvements to AI interactions.

AI and Innovation Intern

• Develop user-facing interfaces in TypeScript and React, along with backend services and APIs in Python or Node
• Implement agentic behavior including orchestration, tool and function calling, memory, and guardrails
• Build retrieval-augmented generation pipelines covering ingestion, chunking, embeddings, and vector and hybrid search
• Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP
• Write evaluation suites and regression tests for LLM-powered features, monitoring cost, latency, and quality in production
• Apply version control, code review, automated testing, CI/CD, and observability
• Deploy on GCP, Azure, or AWS and build and maintain data pipelines feeding AI systems
• Use Claude Code, Gemini CLI, Codex, or Cursor daily with verification and review
• Communicate progress, trade-offs, and blockers to clients and project leads
• Support pre-sales by scoping solutions, building demos, and estimating effort
• Mentor junior engineers and contribute to internal accelerators, reusable components, and engineering standards

Senior AI and Agentic Engineer

• Work closely with Delivery Leads and Champions
• Understand project challenges
• Define the adoption strategy and determine where the AI Advanced Assets team should contribute
• Transform delivery challenges into new approaches
• Design functional solutions using GenAI
• Guide Consultants
• Track results
• Ensure adoption translates into increased productivity and quality

Functional Consultant, SAP, Generative AI

• Lead end-to-end change management
• Map stakeholders and understand their different interests and needs
• Plan and deliver communications throughout the implementation process
• Drive enablement and training initiatives
• Monitor and accelerate platform adoption
• Identify obstacles that may hinder solution adoption
• Serve as the central point of contact for issue resolution and drive each situation through to effective resolution
• Act as the communication bridge between SAP teams and executive sponsors
• Translate needs, information, and challenges across different audiences
• Partner with client program leadership
• Work with major global systems integrators and the companies they serve
• Build the business case for implementation
• Demonstrate the value generated by the solution and communicate outcomes and benefits to stakeholders and decision-makers
• Structure and improve the implementation process
• Create templates, initial integration workflows, and feedback loops
• Identify implementation lessons learned and share insights with the Product team
• Contribute to defining the platform roadmap
• Perform other activities related to the function

Change Management Specialist, SAP Integrations, Agentic AI

• Structure and oversee institutional digital culture and technology projects, organizing timelines, owners, deliverables, milestones, and metrics
• Organize project tracking and present progress, risks, and recommendations to the People team, leaders, and executive management
• Identify risks, dependencies, and challenges that may affect deliverables, proposing courses of action and following up on next steps
• Support the analysis and advancement of Technology and Innovation initiatives, connecting business-area challenges with viable solutions
• Monitor trends and best practices in artificial intelligence, automation, and digital culture, translating them into practical applications
• Promote the responsible use of technology and AI, taking information security, privacy, ethics, and deliverable quality into account
• Plan, prepare, and deliver training sessions and workshops on artificial intelligence, technology, and digital culture
• Adapt technical content into clear, practical language for different audiences
• Serve as a liaison between the People team, technical areas, and leadership, connecting priorities, roles, and deliverables
• Develop communication and engagement initiatives to strengthen digital culture
• Handle strategic and sensitive information with confidentiality, responsibility, and sound judgment
• Serve as the PMO within the People team, structuring, prioritizing, and monitoring the portfolio of initiatives while supporting the responsible adoption of AI

Artificial Intelligence Specialist – Projects

• Coordinate and support a software engineering team operating with AI-driven development methodologies
• Take ownership of an initial project mission and scope and evolve it into a clear, actionable delivery plan
• Manage delivery across small, fixed-scope software engineering projects
• Ensure priorities, milestones, dependencies, and risks remain visible and controlled
• Own and deliver project status reports to technical stakeholders
• Act as a professional interface between business/client stakeholders and a high-speed engineering team
• Facilitate communication between technical and non-technical stakeholders
• Ensure expectations and priorities remain aligned
• Identify and communicate delivery risks, blockers, dependencies, and scope changes
• Support the engineering team in maintaining momentum while balancing client expectations and project objectives
• Operate with a high degree of autonomy, adapting plans and priorities as new information emerges
• Create structure and clarity in fast-moving environments while enabling the engineering team to focus on execution

AI Orchestrator

• Design the evolution of the data and analytics platform architecture
• Design the evolution of the AI platform architecture (ML, GenAI, Agentic AI)
• Design the evolution of the data and AI governance architecture
• Map and continuously assess the technology vendor landscape
• Track data and AI trends and translate them into opportunities for architectural evolution
• Conduct technology assessments and benchmarking
• Build and evolve capability frameworks and reference architectures
• Design and propose technology evolution strategies, architectures, and roadmaps for business domains and technology foundations
• Work collaboratively with technology and business teams

Technology Architecture Specialist – Data & AI

• Build, organize, and enhance departmental databases and performance indicators
• Develop analyses to support operational and strategic decision-making
• Ensure the consistency, quality, and documentation of the data used
• Work closely with business teams to understand their needs and prioritize deliverables

Artificial Intelligence jobs in Brazil