AI Architect

ShimentoX Technologies; Hyderabad; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

ShimentoX Technologies seeks an experienced AI Architect to lead the design and strategy of next-generation AI/ML systems. You will partner with engineering leadership, data science, and product teams to define scalable AI architecture across GenAI, LLM-powered products, RAG, and agentic AI.

You will own end-to-end AI architecture, evaluate and adopt AI/LLM technologies, design cost-efficient infrastructure, and mentor ML engineers.

Qualifications

• 8+ years of software/systems engineering experience, including 4+ years in AI/ML architecture.
• Strong experience designing and scaling ML/AI systems in production.
• Deep understanding of LLMs, GenAI, RAG, prompt engineering, and agentic frameworks.
• Experience with ML infrastructure, including training clusters, model serving, embeddings, and vector databases.
• Strong Python skills; Go, Java, or Scala is a plus.

Responsibilities

• Define and own end-to-end AI/ML architecture across platforms and product lines.
• Evaluate and adopt AI/LLM technologies including RAG, fine-tuning, and agentic systems.
• Translate business objectives into scalable AI strategies and technical architectures.
• Design reliable, scalable, and cost-efficient AI infrastructure.
• Establish best practices for AI development, deployment, safety, and governance.
• Drive technical decisions across model selection, data pipelines, model serving, vector databases, and tooling.
• Mentor and guide ML engineers and data scientists.
• Lead cross-functional AI initiatives from concept through production.

Skills

AI architecture

Python

ML systems design

Cloud platforms

Tools

Vector databases

Model serving

Training clusters

Job description

Experience: 8+ years overall, with 4+ years in AI/ML architecture

We’re looking for an experienced AI Architect to lead the design and strategy of next-generation AI/ML systems.

You’ll partner with engineering leadership, data science, and product teams to define scalable AI architecture across GenAI, LLM-powered products, RAG, agentic AI, and intelligent automation.

What You’ll Do

• Define and own end-to-end AI/ML architecture across platforms and product lines
• Evaluate and adopt AI/LLM technologies including RAG, fine-tuning, and agentic systems
• Translate business objectives into scalable AI strategies and technical architectures
• Design reliable, scalable, and cost-efficient AI infrastructure
• Establish best practices for AI development, deployment, safety, and governance
• Drive technical decisions across model selection, data pipelines, model serving, vector databases, and tooling
• Mentor and guide ML engineers and data scientists
• Lead cross-functional AI initiatives from concept through production

What We’re Looking For

• 8+ years of software/systems engineering experience, including 4+ years in AI/ML architecture
• Strong experience designing and scaling ML/AI systems in production
• Deep understanding of LLMs, GenAI, RAG, prompt engineering, and agentic frameworks
• Experience with ML infrastructure, including training clusters, model serving, embeddings, and vector databases
• Strong Python skills; Go, Java, or Scala is a plus
• Excellent communication and stakeholder-management skills
• Proven ability to lead cross-functional AI initiatives
• Experience with cloud AI platforms such as Vertex AI, Amazon SageMaker, Azure OpenAI, or equivalent

Nice to Have

• Experience with responsible AI, model governance, and AI safety
• Open-source contributions or published AI/ML research
• Experience in high-scale consumer technology environments

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