Immediate Opening For Principal Architect -AI & Agentic AI
Principal Architect -AI &Agentic AI
Experience : 14 -18 Years
Location : Bangalore/Chennai/Kochi
Notice Period : Immediate to 30 Days
Provide enterprise-level technical leadership for designing and scaling advanced AI solutions across predictive analytics, computer vision, NLP, and Agentic AI systems. Own the AI architecture vision and ensure alignment with business strategy, scalability, and responsible AI principles.
Tech Stack:
Category
Technologies
Programming Language
Python
Deep Learning Frameworks (Must)
PyTorch, TensorFlow
Vision Libraries
OpenCV, scikit-image, Pillow
Model Architectures
CNNs, ResNet, EfficientNet, Vision Transformers (ViT), YOLO, Faster R-CNN, Mask R-CNN
Video & Streaming
OpenCV Video I/O, FFmpeg, GStreamer
Edge & Optimization
TensorRT, ONNX, OpenVINO
Annotation Tools
Label Studio, CVAT
Deployment
TorchServe, TensorFlow Serving, Triton Inference Server
NLP
Category
Technologies
Programming Language
Python
Deep Learning Frameworks (Must)
PyTorch, TensorFlow
NLP Libraries
Hugging Face Transformers, spaCy, NLTK
LLM & GenAI
Transformers, RAG pipelines, fine-tuned LLMs
Vector Databases
FAISS, Pinecone, Weaviate
Text Processing
SentencePiece, Byte-Pair Encoding (BPE)
Search & Retrieval
ElasticSearch, OpenSearch
Evaluation & Explainability
SHAP, LIME, BLEU, ROUGE
Deployment
FastAPI, TorchServe, TensorFlow Serving
Responsibility:
Responsibility Area
Summary
AI Strategy & Architecture
Define and govern enterprise-wide AI architecture across predictive analytics, computer vision, NLP, generative and agentic AI systems, ensuring scalability, resilience, and business alignment.
Predictive & Advanced Analytics
Lead design and deployment of forecasting, anomaly detection, optimization, and recommendation models with robust evaluation and explainability.
Computer Vision
Architect and optimize computer vision solutions including object detection, segmentation, OCR, and video analytics across cloud, edge, and real-time environments.
NLP & Generative AI
Design NLP and LLM-based systems for search, extraction, summarization, conversational AI, and multimodal use cases using RAG, fine-tuning, and prompt engineering.
Agentic AI Systems
Architect autonomous and semi-autonomous agentic systems with planning, tool use, memory, orchestration, and human-in-the-loop controls.
MLOps & AI Platform
Establish MLOps standards for model versioning, CI/CD, monitoring, drift detection, retraining, and scalable AI platform services.
Responsible AI & Governance
Define and enforce Responsible AI practices including fairness, bias mitigation, explainability, transparency, privacy, security, model risk management, and regulatory compliance across the AI lifecycle.
Risk, Security & Compliance
Ensure AI systems meet enterprise security standards, data protection requirements, and regulatory obligations through architecture reviews and controls.
Cross-Functional Leadership
Partner with product, engineering, data, legal, security, and business stakeholders to deliver AI solutions aligned with enterprise priorities.
Technical Mentorship & Standards
Mentor senior engineers and data scientists; define architectural, modeling, and coding standards; review and approve AI designs for production readiness.
Innovation & Thought Leadership
Drive experimentation, POCs, and adoption of emerging AI technologies while evaluating risk, value, and operational readiness.