Location: Hyderabad Department: Advanced AI Research & Engineering Reports To: Chief Technology Officer / Head of AI Strategy Employment Type: Full-time | Leadership Track Executive Summary: We are looking for a visionary and deeply experienced Artificial Intelligence Specialist to lead the design, architecture, and deployment of next-generation AI systems that will redefine our digital future. This role is reserved for an AI leader with demonstrated expertise in designing scalable, production-grade AI ecosystems; a deep understanding of neural architectures; and a track record of solving real-world complex challenges through intelligent automation, generative models, and predictive intelligence. This is not a conventional role—you will architect the AI backbone of future enterprise intelligence systems. Core Responsibilities: Architect and develop mission-critical AI models across domains: predictive analytics, generative AI, NLP, computer vision, and autonomous decision systems. Lead AI research-to-production workflows—from experimental design, data strategy, and model optimization to real-world deployment at scale. Design and refine advanced neural architectures , including transformers, LLMs, graph neural networks, and reinforcement learning agents. Spearhead multi-modal AI solutions integrating vision, voice, text, and time-series data streams. Collaborate with engineering, product, and C-suite teams to translate strategic business objectives into deployable AI solutions with measurable ROI. Guide data governance, ethical AI practices , explainability, compliance, and AI fairness protocols. Mentor a team of data scientists and machine learning engineers to deliver high-impact, production-ready AI pipelines. Continuously evaluate emerging AI tools, frameworks, and hardware acceleration techniques to maintain technological leadership . Represent the organization at AI conferences, forums, and research partnerships . Required Expertise: 10+ years of deep, hands-on experience in Artificial Intelligence, Machine Learning, and Applied Data Science. Master's or Ph.D. in AI/ML, Computer Science, Mathematics, Physics, or a related field (Ph.D. strongly preferred). Expertise in Python , along with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, ONNX, Scikit-learn . Demonstrated experience building and deploying LLMs, GANs, CNNs, RNNs, RL agents , and large-scale vector search systems. Deep knowledge of data engineering pipelines, model lifecycle management, and distributed computing . Advanced proficiency with MLOps, CI/CD for ML , containerization (Docker, Kubernetes), and versioned model deployment tools (MLflow, Kubeflow). Solid grounding in probability, statistics, optimization , and algorithmic design. Experience deploying AI on cloud infrastructure (AWS, GCP, Azure) and leveraging GPU/TPU environments. Preferred Edge (Not Mandatory but Advantageous): Experience working with Autonomous Systems, AI OS, Digital Twins , or AI-powered Operating Systems . Prior contributions to open-source AI libraries , patents, or published research in Tier-1 conferences (NeurIPS, ICML, CVPR, ACL). Domain specialization in healthcare AI, fintech AI, smart cities, or autonomous governance platforms . Hands-on experience with AI compliance frameworks (GDPR, HIPAA, model interpretability, and ethical AI) . What You’ll Get: Leadership opportunity in building core AI infrastructure for enterprise-scale and city-scale platforms. Access to state-of-the-art infrastructure , including AI supercomputing environments and high-volume data systems. Competitive salary package with equity options , bonuses, and leadership growth. Opportunity to shape the AI strategy of high-impact products reaching millions globally. Work culture that fosters innovation, autonomy, and research-driven engineering . Application & Interview Process: Please submit: Updated CV with detailed project accomplishments GitHub / Research portfolio Shortlisted candidates will be invited for: A technical deep-dive session Strategic AI system design challenge Panel interview with leadership and R&D teams This Role is Built For: AI pioneers who don’t just build models — they architect future intelligence ecosystems . If you live at the intersection of mathematics, machine learning, systems design, and innovation, we invite you to define the next generation of AI with us.