[Job-31732] Squad Leader / AI Orchestrator
About the role
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.
Responsibilities:
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.
We are looking for:
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.