AI Strategist and Visionary

3 hours ago

Coimbatore, Tamil Nadu, India beBeeArtificial Full time ₹ 1,57,50,000 - ₹ 2,15,00,000
AI Strategist and Visionary

We seek a visionary leader to drive the development and deployment of advanced AI solutions across our organization.

Key Responsibilities:

  • Define and lead the AI vision and roadmap, aligned with business priorities.
  • Provide technical oversight for AI initiatives across domains:
  • Generative AI & LLMs (fine-tuning, RAG pipelines, multi-agent systems).
  • Predictive Analytics & Time-Series Modeling.
  • Computer Vision & Multimodal AI.
  • Reinforcement Learning & Optimization.
  • Knowledge Engineering & Semantic Search.
  • Edge AI & Real-Time AI Deployments.
  • Act as the architect and reviewer of AI systems, ensuring scalability, robustness, and compliance.
  • Guide the adoption of MLOps best practices (CI/CD for ML, monitoring, retraining, governance).
  • Drive innovation while balancing pragmatism and production readiness.

Mentorship & Team Development:

  • Build and grow a world-class AI team, including hiring, onboarding, and performance management.
  • Mentor and coach team members to elevate technical depth and problem-solving skills.
  • Create career development plans, learning paths, and certification opportunities for the team.
  • Foster a culture of collaboration, experimentation, and continuous improvement.

Collaboration & Representation:

  • Work closely with Product Managers, Solution Architects, and Engineering Leads to embed AI across the product suite.
  • Translate business challenges into scalable, impactful AI solutions.
  • Represent the department in industry conferences, technical forums, and client engagements.

Requirements:

  • 10+ years of experience in AI/ML, including at least 3 years in a technical leadership or team lead role.
  • Strong knowledge (architectural & practical) of:
  • LLMs, RAG, and AI Agents.
  • Predictive analytics & time-series forecasting.
  • Computer vision, multimodal learning, and geospatial AI.
  • Reinforcement learning and optimization techniques.
  • MLOps practices & data pipelines.
  • Ability to review code, design architectures, and guide technical teams.
  • Advanced degree (Master's or PhD is a plus) in Computer Science, AI, Data Science, or related technical field.

Preferred Qualifications:

  • Experience with digital twins, IoT/OT data, and smart systems.
  • Familiarity with vector databases.
  • Knowledge of AI ethics, explainability, and regulatory compliance.
  • Experience representing organizations at global conferences and industry summits.

Career Development & Opportunities:

  • Build and scale your own AI team.
  • Define career plans and growth frameworks for your team members.
  • Access to continuous training, certifications, and skill development programs.
  • Opportunities to attend and present at global AI/tech events.
  • Collaborate with top-tier technology partners and thought leaders.

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