Principal Architect

Job title :

Principal AI Architect

Location :

Bangalore / Hyderabad / Chennai

Experience : 12 to 15 Years

Summary :

We are seeking a highly experienced

Principal AI Architect

to lead the design, development, and deployment of cutting-edge AI solutions with a strong focus on

Generative AI (GenAI) ,

Agentic AI frameworks , and

Python-based development . The ideal candidate will be responsible for driving AI strategy, defining technical architecture, leading cross-functional teams, and ensuring scalable, secure, and enterprise-grade AI solutions.

Roles and Responsibilities :

AI Strategy & Architecture

Define and own the AI architecture vision, aligning with business objectives and future technology trends.

Architect scalable AI / ML platforms leveraging

GenAI models, LLMs, and Agentic AI frameworks .

Drive innovation in

autonomous AI agents, multi-agent collaboration, and knowledge-driven systems .

Solution Design & Development

Lead design of

end-to-end AI solutions

including data pipelines, model training, deployment, and monitoring.

Evaluate, fine-tune, and integrate

LLMs (GPT, LLaMA, Mistral, etc.)

into enterprise systems.

Build and optimize

agentic workflows

for automation, reasoning, and decision-making.

Ensure

secure, ethical, and responsible AI practices

across all solutions.

Technical Leadership

Guide teams on

Python-based AI / ML frameworks

(PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face).

Mentor data scientists, ML engineers, and solution architects.

Collaborate with product managers, business stakeholders, and engineering teams to align AI adoption strategy.

Innovation & Research

Stay ahead of industry trends in

GenAI, Agentic AI, RAG (Retrieval Augmented Generation), and multi-modal AI .

Evaluate emerging tools, frameworks, and vendors for enterprise adoption.

Drive PoCs and innovation initiatives to assess business value of AI-driven solutions.

Required Skills :

Experience (12–15 years)

in

AI / ML, software engineering, and solution architecture , with at least

4–5 years in leadership / architectural roles .

Strong expertise in

Python

and AI / ML frameworks (PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex).

Proven experience with

GenAI models (OpenAI, Anthropic, LLaMA, Mistral, etc.)

– fine-tuning, prompt engineering, model integration.

Hands-on experience in

Agentic AI frameworks, autonomous agents, multi-agent orchestration .

Deep understanding of

retrieval-augmented generation (RAG) , vector databases (Pinecone, Weaviate, FAISS, Milvus), and knowledge graphs.

Experience in

cloud-based AI platforms

(AWS Sagemaker, Azure AI, GCP Vertex AI).

Solid grasp of

MLOps, CI / CD pipelines, model governance, and monitoring .

Strong knowledge of

data engineering, APIs, microservices, and distributed systems .

Excellent leadership, stakeholder management, and communication skills.

Desired Skills : Experience with

multi-modal AI

(text, image, video, speech).

Exposure to

enterprise-grade AI security, compliance, and responsible AI frameworks .

Contributions to

open-source AI projects or research publications .

Master’s or Ph.D. in

Computer Science, AI / ML, Data Science, or related field .