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AI Solutions Architect

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NStarX

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Location:
India , Hyderabad

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

We are looking for a highly skilled AI Architect with deep expertise in Generative AI, LLMs, Video Models (Digital Humans / Avatars), and end-to-end AI product architecture. This role requires a hands-on technologist and strategic thinker who can design scalable AI systems, guide development teams, interact with global clients, and drive high-impact AI initiatives across cloud, on-prem GPU servers, and edge devices (AI PCs). You will architect solutions that span the spectrum—from H200-class GPU compute for very large LLM workloads to lightweight, optimized models that run efficiently on edge devices. This is a senior, high-ownership role for someone passionate about building real-world AI products at scale.

Job Responsibility:

  • Design and architect LLM-based systems using both open-source (Llama, Mistral, etc.) and proprietary (OpenAI, Azure OpenAI, Anthropic, etc.) models
  • Architect video-based AI systems, including Digital Human Avatars, Video Generation, Video-to-Text, and multimodal pipelines
  • Build end-to-end GenAI pipelines including data ingestion, preprocessing, retrieval, fine-tuning (LoRA, QLoRA, DAPT), evaluation, guardrailing, and deployment
  • Define and orchestrate data pipelines, ML workflows, vector search architecture, and embedding strategies
  • Build scalable, secure ML engineering wrappers around models (inference servers, orchestration layers, API microservices)
  • Oversee experimentation frameworks, evaluation methodologies, and MLOps integration
  • Architect AI solutions on AWS and Azure (preferred), including GPU clusters, model hosting, DevOps/MLOps, and autoscaling
  • Work with Nvidia GPU server stacks (DGX, H200, H100, L40S) and edge AI systems (Intel, AMD, Qualcomm AI PCs)
  • Optimize AI workloads across heterogeneous compute environments
  • Lead AI architecture across POC → MVP → GA → production-scale phases
  • Contribute to roadmap planning, feasibility analysis, and technical risk assessment
  • Ensure performance, scalability, cost efficiency, and robustness of AI products
  • Embed data privacy, security controls, Responsible AI, and governance frameworks into product design
  • Ensure adherence to enterprise AI policies, guardrails, and regulatory requirements
  • Interact with global clients (North America & Europe) to understand requirements, present architectures, and provide expert guidance
  • Create clear architecture diagrams, documentation, and high-quality technical specifications for developers and stakeholders
  • Serve as the technical face of the project in client discussions
  • Collaborate with AI Engineers, Data Scientists, Product Owners, Cloud Architects, and MLOps teams
  • Mentor teams in AI design patterns, best practices, and solution development
  • Conduct architecture reviews, code/design audits, and knowledge-sharing sessions

Requirements:

  • Minimum 10 years of experience in ML/AI solution architecture
  • Deep expertise in Generative AI: LLMs, Vision/Video models, Digital Avatars, RAG systems, and multimodal architectures
  • Strong experience in ML engineering, data pipelines, and scalable model APIs
  • Hands-on experience with Nvidia GPU systems, CUDA stack, TensorRT, vLLM/Ollama, and model optimization
  • Experience building AI on edge devices (Intel, AMD, Qualcomm NPUs, AI PCs)
  • Proficiency in AWS and Azure cloud ecosystems, including GPU-based deployments
  • Strong knowledge of Python, ML frameworks (PyTorch, TensorFlow), model serving frameworks, and MLOps tools
  • Proven track record of architecting POC, MVP, and production-grade AI products
  • Strong architectural documentation and diagramming skills (Mermaid, Draw.io, Lucidchart, ArchiMate)
  • Excellent communication skills for client presentations and internal leadership discussions
  • Ability to work in a fast-paced, multi-project environment across global teams

Nice to have:

  • Graduation from a Tier-1 institute (IIT, NIT, IIIT, or equivalent)
  • Certifications in AI/ML Architecture, Solution Architecture, or Cloud Architecture (AWS, Azure)
  • Experience with enterprise AI governance and generative AI compliance frameworks
What we offer:
  • Competitive base + commission
  • Fast growth into leadership roles

Additional Information:

Job Posted:
December 26, 2025

Employment Type:
Fulltime
Work Type:
On-site work
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