
AI Automation Lead
6 hours ago
We drive innovation and efficiency at scale.
With expertise in IT consulting, digital strategy, and technology implementation, we empower businesses to streamline operations and lead in a digital-first world.
The Technical Project Manager owns end-to-end delivery of intelligent automation and generative-AI programs. This role translates business goals into scalable technical road-maps while coordinating cross-functional engineering, data science, security, and operations teams.
- Define project scope, success metrics, and release plans for GenAI, Agentic AI, and RPA solutions.
- Build and maintain 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, prompt-engineering patterns, and orchestration frameworks.
- Oversee development and deployment of RPA bots and AI agents on cloud platforms.
- 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.
This role requires 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 is essential.
Required Skills and Qualifications- Familiarity with RPA toolchains and process-mining platforms.
- Proven command of Agile, Scrum, and Kanban rituals; Jira and Confluence power user.
- Solid grasp of cloud-native architectures, microservices, APIs, Docker/Kubernetes, and CI/CD pipelines.
- Strong data literacy: SQL, basic Python, prompt engineering, and model evaluation metrics.
- Experience managing multi-stakeholder programs across product, legal, security, and operations.
- Excellent communication, stakeholder management, and executive presentation skills.
This role offers the opportunity to work on cutting-edge AI projects and develop expertise in intelligent automation and generative-AI.
This role requires a strong understanding of technical project management principles and experience working with cross-functional teams.
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