AI Leader/ Practice Head

Position Details:

• Role:

  Practice Head -AI / Head of AIML

• Work Mode:

  Can be discussed

• Shift Timing:

  Can be discussed

• Location:

  Noida

Position Overview:

We are looking for an accomplished and visionary Practice Head AI & ML to lead our Artificial Intelligence initiatives across domains and drive business transformation through cutting-edge innovation. This leadership role combines deep technical expertise, strategic thinking, client engagement, and people leadership to build and scale our AI/ML practice with a strong focus on Generative AI, Cloud AI, and Computer Vision capabilities.

Key Responsibilities:

1. Strategic Leadership:

• Define and drive the overall AI/ML vision, roadmap, and strategy for the organization.
• Lead the development and scaling of the AI/ML Center of Excellence, including GenAI, NLP, Vision AI, and Data Science capabilities.
• Align practice goals with business objectives, identifying high-impact AI opportunities across functions and industries.

1. Delivery & Execution:

• Oversee architecture, design, and delivery of enterprise-grade AI/ML solutions and platforms.
• Ensure successful implementation of AI/ML models into production environments, ensuring scalability, accuracy, and performance.
• Own and standardize best practices for MLOps, model governance, and responsible AI.

1. Team & Practice Building:

Build, mentor, and manage a high-performing team of Data Scientists, ML Engineers, and Solution Architects.

Drive talent strategy: hiring, upskilling, certifications, and career path development.

1. Client & Stakeholder Engagement:

• Act as a senior consultant and thought partner to internal and external stakeholders.
• Participate in pre-sales, RFPs, and client workshops to shape AI/ML solution offerings.
• Lead executive presentations, workshops, and innovation discussions with C-level clients.

1. Innovation & Emerging Tech:

• Foster a culture of innovation by evaluating and integrating Generative AI, LLMs, RAG, diffusion models, and cloud-native AI services.
• Collaborate with research communities and academic partners to stay ahead of emerging trends.
• Own the AI/ML IP and asset development roadmap (accelerators, reusable models, toolkits).

Required Skills & Experience:

• 12+ years of experience, with 10+ years in AI/ML roles and 3+ years in leadership capacity.
• Proven success in building and leading AI/ML practices or COEs at an enterprise or consulting level.
• Strong hands-on understanding of AI/ML algorithms, model lifecycle, and real-world deployment challenges.
• Expertise in GenAI, LLMs, NLP, Computer Vision, Deep Learning, and modern MLOps.
• Cloud AI experience across AWS, Azure, or GCP.
• Familiarity with tools and frameworks: TensorFlow, PyTorch, Hugging Face, MLflow, Kubeflow, Airflow, LangChain, etc.
• Exposure to industry use cases in retail, finance, healthcare, manufacturing, or BFSI is preferred.
• Strong communication, stakeholder management, and executive-level presentation skills.

Preferred Qualifications:

• Master’s or PhD in Computer Science, AI/ML, Data Science, or related technical discipline.
• Certifications in cloud AI services (AWS Machine Learning Specialty, Azure AI Engineer, GCP ML Engineer) are a plus.
• Published research, open-source contributions, or speaking engagements in AI/ML forums are desirable.

Why Join Us?

• Lead transformative AI initiatives that shape the future of the business.
• Work in a collaborative, innovation-driven culture.
• Influence strategy at the highest levels and build your own AI legacy.
• Flexible working model and global client exposure.