Chief AI Delivery Officer

1 week ago

Vizag, Andhra Pradesh, India beBeeProject Full time ₹ 1,00,00,000 - ₹ 1,50,00,000
Technical Project Manager Role

The Technical Project Manager owns end-to-end delivery of intelligent automation and generative-AI programs, leading to real business impact.

  • Define project scope, success metrics, and release plans for GenAI, Agentic AI, and RPA solutions.
  • Develop detailed schedules, sprint plans, risk registers, and dependency maps.
  • Drive discovery workshops to capture business processes and identify automation or agentic opportunities.
  • Partner with solution architects to select models (LLMs, diffusion, hybrid), prompt-engineering patterns, and orchestration frameworks.
  • Oversee development and deployment of RPA bots and AI agents on AWS, or GCP.
  • Champion secure-by-design practices, ensuring model governance, data privacy, and Responsible AI compliance.
  • Establish KPIs—cost per transaction, latency, agent autonomy level, bot uptime—and deliver regular executive dashboards.
  • Mentor scrum teams, conduct sprint retros, and drive continuous improvement with OKR tracking.
Required Skills and Experience
  • 6–8 years in technical project or program management, with at least 2 years leading AI/ML initiatives.
  • Demonstrated delivery of GenAI or LLM-based solutions.
  • Familiarity with RPA toolchains and process-mining platforms.
  • Command of Agile, Scrum, and Kanban rituals; Jira and Confluence power user.
  • Grasp of cloud-native architectures, microservices, APIs, Docker/Kubernetes, and CI/CD pipelines.
  • Data literacy: SQL, basic Python, prompt engineering, and model evaluation metrics.
  • Experience managing multi-stakeholder programs across product, legal, security, and operations.
  • Strong communication, stakeholder management, and executive presentation skills.

Preferred Qualifications:

  • Prior work with agent frameworks or autonomous RPA orchestration.
  • Knowledge of process-mining tools.
  • Certification: PMP, PMI-ACP, Prince2, or SAFe POPM.
  • Exposure to generative design patterns, reinforcement learning-from-feedback, and prompt-chain optimization.
  • Experience in regulated domains with relevant compliance standards.

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