Position: AI Solution Architect

Experience: 10+ years in AI/ML Solutioning & Architecture

Requirement: Fulltime (Work from Office)

Location: Hyderabad

About Nstarx

NStarX is an AI-native, cloud-native services & platform company that helps enterprises accelerate digital transformation through:

• AI Engineering & Data Modernization
• Enterprise GenAI & Agentic AI
• Federated Learning & Confidential Computing
• Predictive & Prescriptive AI Solutions
• “Service-as-Software” – our core platform model
• Domain solutions across Healthcare, Media, Manufacturing, Finance & Retail

For more information, please visit:
https://nstarxinc.com/

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.

1. AI & GenAI Architecture

• 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.

2. Core ML & Data Engineering

• 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.

3. Cloud & Infrastructure

• 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.

4. Product & Delivery Ownership

• 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.

5. Governance, Security & Compliance

• Embed data privacy, security controls, Responsible AI, and governance frameworks into product design.
• Ensure adherence to enterprise AI policies, guardrails, and regulatory requirements.

6. Client Engagement & Communication

• 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.

7. Leadership & Collaboration

• 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.

Required Skills & Qualifications

Technical Skills

• 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.

Professional Requirements

• Minimum 10 years of experience in ML/AI solution architecture.
• 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.

Preferred Qualifications

• 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.

Why NStarX

• You will be joining a fast-growing AI-native company backed by:
• Strategic investment from SHI International
• Advisory board including Silicon Valley CXOs & AI leaders
• Compensation includes:
• Competitive base + commission
• Fast growth into leadership roles