AI Architect

Valuemomentum; Hyderabad; On-site; INR 3,500,000 - 5,500,000; Full time

Job summary

Valuemomentum seeks an enterprise AI/ML Architect to design and guide scalable AI solutions, collaborating with data scientists, ML engineers, platform engineers, and software teams to embed AI capabilities into products and workflows.

You will provide hands-on leadership in Python and ML frameworks, oversee data prep and model development, and drive optimization in cloud-native environments for reliable production systems.

Qualifications

• Strong experience architecting enterprise AI/ML solutions.
• Hands-on Python with ML/DL frameworks.
• Experience leading cross-functional AI projects.

Responsibilities

• Architect enterprise AI solutions and guide implementation.
• Collaborate with data scientists, ML engineers, and software teams.
• Provide technical leadership in Python and ML frameworks.
• Oversee data prep, feature engineering, and model development.
• Evaluate AI/ML advancements and update roadmaps.
• Optimize models for performance, latency, and cost.

Skills

Python

ML

GenAI

LLMs

AI architectures

Data prep

Vectorization

Tools

TensorFlow

PyTorch

HuggingFace

LangChain

Job description

• Architect, design, and guide the implementation of enterprise grade AI and ML solutions that solve complex business problems and power intelligent applications.
• Lead collaboration with data scientists, ML engineers, platform engineers, and software teams to integrate AI capabilities into products, platforms, and enterprise workflows.
• Provide hands‑on technical leadership in Python, including proficiency with ML, GenAI, and LLM frameworks (TensorFlow, PyTorch, HuggingFace, LangChain, etc.).
• Oversee end‑to‑end data preparation, feature engineering, vectorization, and model development, ensuring data quality and readiness for LLMs and Generative AI workloads.
• Continuously evaluate emerging advancements in AI, ML, LLMs, Agentic Systems, and incorporate relevant innovations into architectural roadmaps and solution designs.
• Optimize AI and Generative AI models for performance, latency, scalability, observability, and cost efficiency, leveraging cloud-native and distributed compute environments.
• Conduct and drive technical design reviews, code reviews, and architecture assessments to ensure high standards of quality and engineering rigor.
• Diagnose, troubleshoot, and resolve complex AI system issues to maintain the reliability, accuracy, and security of production AI applications.