Lead AI Architecture

Job Title: Lead AI Architecture Experience: 15+ Years Department / Function: Technology D&S Employment Type: Full-time Position Overview: We are seeking a visionary AI Architect with 15+ years of deep, hands-on expertise to define and own the end-to-end architecture of our next-generation AI platforms. This role will drive strategy and technical execution for large-scale Sovereign AI initiatives spanning Computer Vision, Generative AI, LLMs/SLMs, RAG, and multi-modal systems deployed across defence, enterprise, and public sector. Key Responsibilities 1)Technical Leadership: Architect and lead development of large-scale AI systems covering: Computer Vision AI: Image & video analytics, object detection/tracking, scene understanding, edge deployment for real-time inference Generative AI: Text, audio, and video generation; diffusion models, GANs, transformers; multi-modal synthesis Core ML: Deep Learning, Reinforcement Learning, Active Learning pipelines from research to production 2)LLM/SLM & RAG Platforms: Design and scale proprietary LLMs/SLMs, RAG frameworks, vector DBs, agentic workflows, and fine-tuning pipelines for domain-specific Sovereign AI models. 3)Sovereign AI: Lead initiatives for indigenous, secure, on-prem AI stacks with data residency, compliance, and model auditability for strategic sectors. 4)Team Leadership: Build, mentor, and manage a team of 20+ AI/ML engineers, research scientists, and MLOps specialists. Set technical standards, review architectures, and drive engineering excellence. 5)Project Delivery: Own architecture for complex, multi-year programs involving data pipelines, training infra, GPU clusters, model serving at scale, and edge optimization 6)Cross-functional Collaboration: Partner with product, data engineering, security, and business teams to translate mission requirements into scalable AI solutions 7)Innovation & Governance: Evaluate SOTA research, publish patents, define AI governance, model risk, and ethical AI frameworks. Required Qualifications & Skills 1)15+ years hands-on in AI/ML with proven end-to-end project implementation across Computer Vision, GenAI, and RL. At least 5 years in architectural leadership roles. Technical Depth: Expert in PyTorch/TensorFlow, CUDA, transformer architectures, diffusion models, YOLO/SAM, NeRFs, 3D vision Production experience with LLMs/SLMs: pre-training, PEFT/LoRA/QLoRA, quantization, distributed training on 100+ GPUs Strong RAG design: embeddings, rerankers, hybrid search, knowledge graphs, evaluation frameworks RLHF, Active Learning, continual learning, and MLOps: Kubeflow, MLflow, Ray, Triton, vLLM Deployed models at scale: >10M inferences/day, latency 2)Domain: Experience with large-scale public sector/defence projects preferred. • 3)Understanding of data sovereignty, security clearances, and air-gapped deployments is a plus Must-have: M.Tech/PhD in CS, AI, ECE or related field from premier institute preferred. 15+ years of hands-on experience Skills & Attributes Experience building foundation models from scratch Contributions to open-source AI projects or top-tier conferences Prior work with MoD, DPSUs, or critical infrastructure AI deployments Collaboration & stakeholder management Integrity & strong communication What We Offer Opportunity to architect India's Sovereign AI stack Access to large GPU clusters and petabyte-scale datasets Leadership role with board visibility Competitive compensation + ESOPs + retention bonus