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Job Description & How to Apply Below
At KANINI, we’re committed to building an environment where people can bring their best selves to work.
We are seeking an experienced AI Architect with deep expertise in Machine Learning, Generative AI, LLM integration, cloud-native AI services, and end-to-end solution design. You will drive the architecture, modernization, and implementation of AI-enabled platforms for enterprise clients. Experience in domains such as Healthcare (preferred), BFSI, and Retail will be a strong advantage.
What You’ll Do
- Design scalable AI/ML and GenAI architectures for enterprise applications using Azure, AWS, or GCP.
- Build end-to-end AI solutions including model pipelines, fine-tuning workflows, vector search, and model orchestration.
- Implement LLM-based functionalities such as RAG, summarization, classification, copilots, and automation flows.
- Develop reusable frameworks, POCs, accelerator components, and AI solution blueprints.
- Collaborate with Data Engineering, Cloud, and Application teams to integrate AI models into production systems.
- Ensure responsible AI practices, security, governance, and observability across AI/ML deployments.
- Optimize model performance, scalability, and cost through monitoring, retraining strategies, and cloud-native services.
- Partner with clients to identify use cases, conduct workshops, present AI roadmaps, and support RFP/RFI solutioning.
What You Bring
- 12+ years of experience in data science, machine learning, AI engineering, or AI architecture; at least 3+ years in architect role.
- Strong expertise in Python, model development, ML workflows, and MLOps practices.
- Solid hands-on experience with Azure OpenAI, AWS Bedrock, or Google Vertex AI.
- Proficiency in LLMs, embeddings, vector databases (Pinecone, Chroma
DB, Redis, Elastic, etc.).
- Strong command over ML frameworks:
PyTorch / Tensor Flow / Scikit-learn.
- Experience designing RAG pipelines, prompt engineering strategies, and AI-driven application flows.
- Cloud expertise with Azure (preferred) or AWS/GCP including functions, containers, data services, Dev Ops, and security.
- Familiarity with data engineering pipelines, feature stores, and production ML architecture.
- Excellent communication, client-handling, and stakeholder management skills.
- Domain experience in Healthcare is highly preferred; BFSI/Retail is a plus.
- Experience contributing to RFPs, estimations, solution proposals, and presales activities.
Why Join KANINI
- A people-first culture built on trust, empathy, and inclusion.
- Recognized as a Great Place to Work for multiple years.
- Opportunities to work with cutting-edge technologies across AI/GenAI, Data Engineering, Cloud, Telehealth, IoT, Service Now and more.
- A collaborative environment where your innovations directly influence enterprise clients globally.
- Strong career growth, leadership opportunities, and continuous learning pathways.
Ready to Make an Impact?
Join us to design the next generation of AI-powered solutions and help shape the future of intelligent digital platforms at KANINI.
Work Location :
Pune, Bangalore
Experience : 10+Years
Notice Period :
Immediate to 30 Days
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