Principal Architect
8 hours ago
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
.
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