Posted on: 10/09/2025
About the Role :
We are seeking an experienced and visionary AI Vertical Lead to spearhead our artificial intelligence initiatives across verticals (e. g healthcare, finance, and manufacturing).
This role requires a unique blend of domain expertise, technical proficiency, and strategic leadership.
You will work cross-functionally to identify high-impact opportunities for AI, drive implementation of advanced solutions, and ensure business alignment and value realization.
Key Responsibilities :
AI Strategy & Roadmap :
- Develop and execute the AI roadmap aligned with the business unit's strategic goals.
- Identify key business problems that can be solved with AI and prioritize use cases.
- Lead feasibility assessments, pilot programs, and full-scale deployments.
Stakeholder Engagement :
- Collaborate with senior executives, product owners, and engineering teams to translate business needs into AI opportunities.
- Evangelize AI capabilities and educate non-technical stakeholders.
Project Leadership :
- Lead cross-functional teams of data scientists, ML engineers, and analysts.
- Oversee the end-to-end lifecycle of AI projects-from ideation and prototyping to production deployment and monitoring.
- Ensure ethical, transparent, and regulatory-compliant AI implementation.
Technical Oversight :
- Provide guidance on data strategy, model selection, architecture, and performance optimization.
- Review code, pipelines, and model performance to ensure quality and scalability.
Required Qualifications :
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- 5+ years of experience in AI/ML, including 1+ years in a leadership role.
- Proven experience in applying AI within a specific vertical (e., healthcare, finance, retail, logistics).
- Strong technical understanding of ML, NLP, computer vision, LLMs, and data engineering principles.
- Experience with AI/ML tools and platforms (e. Python, TensorFlow, PyTorch, AWS/GCP/Azure AI services).
- Excellent leadership, communication, and stakeholder management skills.
- Familiarity with AI governance, responsible AI practices, and relevant industry regulations
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