
Intelligent Automation Professional
1 week ago
We are seeking a skilled Technical Project Manager to lead the end-to-end delivery of intelligent automation and generative-AI programs.
- This involves translating business goals into scalable technical roadmaps while coordinating cross-functional engineering, data science, security, and operations teams.
- Program Planning: Define project scope, success metrics, and release plans for GenAI, Agentic AI, and RPA solutions.
- Schedule Management: Build and maintain detailed schedules, sprint plans, risk registers, and dependency maps.
- Discovery Workshops: Drive discovery workshops to capture business processes and identify automation or agentic opportunities.
- Model Selection: Partner with solution architects to select models (LLMs, diffusion, hybrid), prompt-engineering patterns, and orchestration frameworks.
- RPA Deployment: Oversee development and deployment of RPA bots and AI agents on cloud platforms.
- Security Compliance: Champion secure-by-design practices, ensuring model governance, data privacy, and Responsible AI compliance.
- KPI Establishment: Establish KPIs—cost per transaction, latency, agent autonomy level, bot uptime—and deliver regular executive dashboards.
- Vendor Management: Manage vendor contracts and budgets.
- Team Mentorship: Mentor scrum teams, conduct sprint retros, and drive continuous improvement.
- Change Management: Coordinate change-management, user training, and hyper-care for production rollouts.
- 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.
- Hands-on 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.
- 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.
- Bachelor's degree in Computer Science, Information Systems, or related engineering field
- Primary location: Bengaluru, Hyderabad (Initially Remote)
- Occasional travel to client sites within India or APAC.
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