AI Strategist

1 week ago

Ellore, Andhra Pradesh, India beBeeArtificialintelligence Full time ₹ 2,00,00,000 - ₹ 3,00,00,000
Job Description

We are seeking a visionary leader to drive the strategy, development, and deployment of advanced AI solutions across various domains.

This role is leadership and technically grounded, requiring a seasoned professional to define and guide our AI roadmap, mentor a team of experts, and ensure delivery of world-class solutions.

You will play a pivotal role in building and scaling the AI & Data Science team, shaping career paths, and representing the department in global events, partnerships, and thought leadership platforms.

Key Responsibilities:
  1. Define and lead the AI & Data Science vision and roadmap, aligned with business priorities.
  2. Provide technical oversight for AI initiatives across domains: Generative AI, Predictive Analytics, Computer Vision, Reinforcement Learning, Knowledge Engineering, Edge AI.
  3. Act as the architect and reviewer of AI systems, ensuring scalability, robustness, and compliance.
  4. Guide the adoption of MLOps best practices (CI/CD for ML, monitoring, retraining, governance).
Mentorship & Team Development:
  1. Build and grow a world-class AI & Data Science team, including hiring, onboarding, and performance management.
  2. Mentor and coach team members to elevate technical depth and problem-solving skills.
  3. Create career development plans, learning paths, and certification opportunities for the team.
Collaboration & Representation:
  1. Work closely with Product Managers, Solution Architects, and Engineering Leads to embed AI across the product suite.
  2. Translate business challenges into scalable, impactful AI solutions.
  3. Represent the department in industry conferences, technical forums, and client engagements.
Required Skills and Qualifications:
  1. 10+ years of experience in AI/ML, including at least 3 years in a technical leadership or team lead role.
  2. Strong knowledge (architectural & practical) of LLMs, RAG, AI Agents, Predictive analytics & time-series forecasting, Computer vision, multimodal learning, geospatial AI, Reinforcement learning and optimization techniques, MLOps practices & data pipelines.
  3. Ability to review code, design architectures, and guide technical teams.
  4. Advanced degree (Master's or PhD is a plus) in Computer Science, AI, Data Science, or related technical field.
Preferred Skills and Qualifications:
  1. Experience with digital twins, IoT/OT data, and smart systems.
  2. Familiarity with vector databases.
  3. Knowledge of AI ethics, explainability, and regulatory compliance.
  4. Experience representing organizations at global conferences and industry summits.

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