Scrum Master as AI Orchestrator

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.

With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech, and Business strategy.

We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.

We are looking for a Scrum Master to act as an AI Orchestrator and drive the governance of our end-to-end development pipeline. Evolving the traditional agile facilitation role, the AI Orchestrator acts from upstream to downstream, coordinating collaborative workflows between people and Artificial Intelligence agents.

You will be the bridge between upstream and delivery, ensuring time, cost, quality, and the health of the entire workflow.

If you are passionate about delivery governance and AI fluency, and want to lead the transformation of how we develop software, where generalist teams orchestrate specialized agents, this is your opportunity.

As an AI Orchestrator, you do not execute a specific step in the pipeline, but rather conduct the entire flow. Your main responsibilities will include:

Mapping and Governance: Map the SDLC Value Stream, defining, reviewing, and evolving processes and rituals for a continuous model with AI.

Flow and Bottleneck Management: Govern end-to-end delivery, reducing lead time, monitoring workflow health, and proactively eliminating bottlenecks without compromising cost and quality.

Hybrid Orchestration: Orchestrate workflows between people and agents throughout the cycle, maintaining a continuous flow and handling exceptions.

Compliance and Security: Define levels of autonomy for agents and triggers for human sign-off, ensuring compliance with security, privacy, ethical, and regulatory requirements.

Demand Translation (Upstream/Tech): Bridge the gap with technical execution, translating demands to ensure feasibility, defining success metrics (ROI, hit rates), and prioritizing value generation.

Financial Sustainability: Assess the feasibility and ROI of agentic solutions, approving architectures that balance precision, response time, and token consumption.

Dependency Management: Manage technical dependencies between the AI Engineer and the AI Deployment Engineer, understanding AI capabilities and failure modes to organize the sequence of work.

Quality Assurance: Ensure compliance with validation checkpoints (architecture, compliance, QA), handling escalations when outputs diverge.

Change Management: Drive the evolution of ways of working, developing the squad's technical fluency and engaging the team in the cultural transition to the new orchestration model.

Governance and Management: Delivery Governance, Project Management (PRMG), Agile and Continuous Flow, Stakeholder Management (STMG).

Leadership and Change: Team Leadership, Change Management, Risk and Dependency Management (RISK).

AI Fluency: AI Agent Orchestration, Systemic AI Fluency, ROI and Expansion Analysis, AI Metrics Definition.

Focus on Flow: You orchestrate squads and agents; you do not execute pipeline steps, but focus on governance, processes, and removing impediments.

End-to-End Vision: Govern the pipeline from end to end: from the upstream requirement all the way to production alongside the AI Deployment Engineer.

Cultural Transformation: You will be the pillar that sustains our cultural shift in development.