Artificial Intelligence Architect
6 days ago
Role: AI/ML & Generative AI Architect / Engineering Leader
Experience
: 15 + Years
Location
: Pune
Mandatory-Should have a stable track record
Suitable candidate shall be notified the same day
About the Role
We're looking for a
Technology Leader in AI/ML and Generative AI
with strong experience in
architecting, designing, and delivering enterprise-grade AI platforms
. The ideal candidate will combine deep hands-on expertise in
LLMs, RAG, Agentic AI, and Azure AI Services
with enterprise architecture and engineering leadership skills.
You will drive the
AI-first transformation journey
for large enterprises, build
AI-powered digital expert systems
, and lead teams to deliver scalable, secure, and business-aligned AI solutions.
Key Responsibilities
- Architect and implement
AI/ML and Generative AI platforms
for large-scale enterprise adoption. - Design and productionize
AI-powered systems
for Banking use cases such as onboarding, payments, and cash management. - Develop
RAG pipelines, Agentic AI workflows
, and LLMOps frameworks using LangChain, LangGraph, and Hugging Face. - Integrate solutions with
Core Banking, ERP, H2H, and API platforms
ensuring scalability, security, and compliance. - Lead and mentor high-performing engineering teams following Agile/DevOps best practices.
- Evaluate and integrate emerging AI ecosystems (OpenAI, Anthropic, Mistral, Azure OpenAI, GCP Vertex AI).
- Collaborate with product and business leaders to align AI initiatives with enterprise strategy and measurable ROI.
Technical Skills & Expertise
- Generative AI & LLMs:
GPT-4, LLaMA, Claude, RAG, Agentic AI, LangChain, LangGraph, LlamaIndex - AI/ML Engineering:
Deep Learning, NLP, Python, FastAPI, MLFlow, PyTorch, TensorFlow, Keras - Cloud & Platform Engineering:
Azure AI Services, Azure OpenAI, Synapse, Azure ML Studio, AWS, GCP - Data & Integration:
Kafka, ETL pipelines, APIs, vector DBs (Chroma, Pinecone, Azure AI Search) - Architecture:
Cloud-native, microservices, event-driven systems, Kubernetes, Docker, CI/CD
Why Join
- Drive
end-to-end AI/GenAI transformation
across global BFSI clients - Lead high-impact
AI innovation and modernization programs - Work with cutting-edge
AI ecosystems and enterprise-grade LLM deployments
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