Job Opportunities

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.