AI Architect- Model Engineering

Job description:
Job Description
Role Purpose
We are looking for an experienced AI Architect- Model Engineering to design, build, and govern enterprise-grade solutions using Small Language Models for domain-specific AI applications. The role requires strong expertise in AI/ML architecture, model architecture optimization, cloud-native deployment, data pipelines, RAG, fine-tuning, model evaluation, and secure enterprise integration.
The ideal candidate will architect lightweight, cost-efficient, secure, and scalable AI systems that can run across cloud, private cloud, on-premise, or edge environments. The architect will work closely with AI Engineers, Data Scientists, Cloud Architects, Product Owners, and Business SMEs to deliver practical GenAI solutions optimized for enterprise use cases.
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Key Responsibilities
Model Architecture & Strategy
Define enterprise architecture patterns for Small Language Model-based applications.
Evaluate and recommend suitable Models based on accuracy, latency, cost, privacy, domain fit, and deployment constraints.
Design AI solutions using open-source and commercial SLMs such as Phi, Llama, Mistral, Gemma, Qwen, Falcon, or domain-specific models.
Establish architectural standards for SLM selection, adaptation, deployment, monitoring, and governance.
Build reusable blueprints for SLM-based assistants, copilots, workflow agents, document intelligence, and enterprise search.
Model Adaptation & Optimization
Architect solutions involving prompt engineering, RAG, fine-tuning, LoRA, QLoRA, distillation, quantization, and model compression.
Define when to use prompt-only, RAG-based, fine-tuned, or hybrid approaches.
Optimize SLMs for low latency, reduced inference cost, and domain-specific accuracy.
Guide teams on token optimization, context management, embeddings, reranking, and model evaluation.
Preferred Qualifications
Bachelor’s or Master’s degree in Computer Science, Data Science, AI/ML, Engineering, or related field.
8+ years of experience in software architecture, cloud architecture, or AI/ML engineering.
3+ years of hands-on experience with NLP, transformers, GenAI, or LLM-based applications.
Experience deploying AI models in regulated or enterprise environments.
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Mandatory Skills: Generative AI
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Experience: 8-10 Years
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Reinvent your world. We are building a modern Wipro. We are an end-to-end digital transformation partner with the boldest ambitions. To realize them, we need people inspired by reinvention. Of yourself, your career, and your skills. We want to see the constant evolution of our business and our industry. It has always been in our DNA - as the world around us changes, so do we. Join a business powered by purpose and a place that empowers you to design your own reinvention.

Work arrangement
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