
Transformational Project Manager
4 days ago
We are seeking a Project Manager to lead the delivery of intelligent automation and generative-AI programs. The successful candidate will translate business goals into scalable technical road-maps while coordinating cross-functional engineering, data science, security, and operations teams.
The ideal candidate will have 6-8 years of experience in technical project or program management, with at least 2 years leading AI/ML initiatives. They should have demonstrated delivery of GenAI or LLM-based solutions and hands-on familiarity with RPA toolchains and process-mining platforms.
Key Responsibilities:
- 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 (LLMs, diffusion, hybrid), 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.
Required Skills and Qualifications:
- 6–8 years in technical project or program management.
- Demonstrated delivery of GenAI or LLM-based solutions.
- Familiarity with RPA toolchains and process-mining platforms.
- Strong 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.
Benefits:
- Opportunity to work on cutting-edge GenAI and autonomous-process programs at enterprise scale.
- Flat, innovation-driven culture with rapid decision cycles.
- Competitive compensation and continuous learning budget.
Location & Work Mode:
- Primary location: Bengaluru, Hyderabad (Initially Remote).
- Occasional travel to client sites within India or APAC.
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