
AI Solution Designer
4 days ago
Location: [Specify if Remote/Onsite/Hybrid]
Experience: 10+ years in IT & AI/ML solution delivery
Joining: Immediate
Engagement: [Contract / Full-time specify]
Role Overview
We are seeking a highly skilled and visionary AI Solution Designer & Implementor to lead the design, development, and deployment of enterprise-scale AI/ML solutions within Retail Analytics Engineering Platforms. The role demands deep expertise in Generative AI, LLMs, Agentic AI, and MLOps, with a focus on building scalable, production-ready enterprise systems.
Key Responsibilities
Architect and implement AI/ML solutions including Generative AI, Agentic systems, and LLM applications (fine-tuning included).
Design & deploy intelligent AI agents using LangChain & LangGraph to improve user experience and operational efficiency.
Build and optimize NLP/document processing pipelines using GCP and Azure tech stacks.
Lead the development of Retrieval-Augmented Generation (RAG) systems and multi-agent architectures.
Establish & maintain robust LLMOps/MLOps practices for model lifecycle management.
Develop and deploy models using PyTorch, MLFlow, FastAPI.
Implement scalable ML infrastructure with Kubernetes and CI/CD automation (GitHub Actions).
Collaborate with cross-functional teams to drive cloud adoption and modernize IT infrastructure.
Required Skills & Technologies
AI/ML Tools: LangChain, LangGraph, PyTorch, MLFlow, FastAPI
Cloud Platforms: GCP Vertex AI, Azure AI Foundry, Kubernetes
DevOps & Automation: GitHub Actions
Strong expertise in Generative AI, LLMs, and Agentic AI
Qualifications
Bachelors degree in Computer Science, Engineering, or related field.
10+ years of IT systems and AI/ML solution delivery experience.
Proven experience in designing & deploying enterprise-scale AI solutions.
Strong understanding of cloud-native architectures and scalable AI infrastructure.
Preferred Certifications:
GCP and/or Azure certifications
Current CTC
Expected CTC
Location
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