Role: PRINCIPAL AI ML ARCHITECT

Experience: 8+ Years

Location: Remote

Engagement: C2C

Working Hours: 11:00 AM – 9:00 PM

Role Overview

We are looking for a Principal AI/ML Architect with strong hands-on experience in designing, developing, and implementing enterprise-grade AI/ML and Generative AI solutions.

The ideal candidate should combine architecture leadership with strong hands-on technical expertise across Machine Learning, Generative AI, LLMs, cloud platforms, MLOps/LLMOps, and enterprise AI integrations.

The candidate will be responsible for designing end-to-end solutions, developing and integrating AI components, troubleshooting production issues, and supporting deployment and operationalization while providing technical guidance to engineering teams.

## Key Responsibilities

- Architect, design, and implement end-to-end AI/ML and Generative AI solutions.
- Translate business requirements into scalable, secure, reliable, and production-ready technical architectures.
- Develop and integrate solutions using Python, AI/ML frameworks, APIs, and cloud services.
- Design and implement LLM, RAG, embeddings, vector search, agentic AI, and model orchestration** solutions.
- Build and operationalize capabilities for model training, deployment, inference, evaluation, monitoring, and lifecycle management
- Implement MLOps/LLMOps practices, including CI/CD, model and prompt versioning, automated testing, observability, and monitoring.
- Evaluate AI models, frameworks, platforms, and technologies and select appropriate solutions based on business and technical requirements.




- Design integrations across AI services, enterprise applications, APIs, data platforms, and cloud environments.
- Ensure AI solutions meet enterprise requirements related to security, privacy, scalability, performance, reliability, and cost optimization.
- Provide technical leadership through solution design, hands-on development, code reviews, troubleshooting, and mentoring.

## Mandatory Skills

8+ years of hands-on AI/ML experience with enterprise-scale production implementations.

- Robust hands-on Python development experience.
- Strong expertise across Machine Learning, Deep Learning, NLP, and Generative AI/LLMs.
- Hands-on experience with RAG, embeddings, vector databases/vector search, prompt/context engineering, and LLM evaluation.
- Strong experience with at least one major cloud platform: Azure, AWS, or GCP.
- Hands-on experience with MLOps/LLMOps, model deployment, monitoring, CI/CD, containers, APIs, and microservices.
- Experience working with structured and unstructured data, data pipelines, and enterprise data platforms.
- Strong understanding of AI security, privacy, Responsible AI, and enterprise governance.
- Strong communication and stakeholder-management skills.

## Good to Have

- Experience with Agentic AI and AI agents.
- Experience designing highly scalable enterprise AI platforms.
- Experience with cloud-native AI/ML services and architecture patterns.
- Experience mentoring AI/ML engineering teams and driving technical standards.

Pay: ₹110,000.00 - ₹120,000.00 per month

Experience

- AI ML Architect: 8 years (Required)

Work Location: Remote

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