AI/ML Architect

Experience:

12+ Years

Location:

Kochin/Trivandrum

Work Mode:

Hybrid

Role Overview

We are looking for an experienced

AI/ML Architect with 12+ years of experience to design and lead scalable, enterprise-grade AI/ML and Generative AI solutions. The ideal candidate should be hands-on with

LLMs, RAG, Agentic AI, cloud platforms, and MLOps/LLMOps

, with strong architecture and technical leadership skills.

Key Responsibilities

- Design end-to-end

AI/ML and Generative AI architectures for enterprise applications.

- Lead solutions involving

LLMs, RAG, AI Agents, NLP, and Machine Learning

.

- Define technology strategy, architecture standards, and best practices.

- Design scalable and secure AI platforms with focus on performance, reliability, cost, and governance

.

- Lead POCs and guide engineering teams through production implementation.

- Design and implement

MLOps/LLMOps for model deployment, monitoring, evaluation, and lifecycle management.

- Collaborate with business, data, product, and engineering teams to translate requirements into AI solutions.

- Mentor senior engineers and provide technical leadership.

Required Skills

- 12+ years of overall experience in AI/ML,



software engineering, or related areas.

- Strong hands-on experience with

Generative AI, LLMs, RAG, and Agentic AI

.

- Strong

Python programming skills.

- Experience with

LangChain, LlamaIndex, vector databases

, and LLM evaluation.

- Solid knowledge of

Machine Learning, NLP, Deep Learning

, and model lifecycle management.

- Experience with at least one cloud platform:

AWS, Azure, or GCP

.

- Experience with

Docker, Kubernetes, APIs, microservices, and MLOps/LLMOps

.

- Knowledge of

AI security, governance, responsible AI, and data privacy

.

- Excellent architecture, communication, problem-solving, and stakeholder-management skills.

Preferred

- Experience with

Azure OpenAI, AWS Bedrock, Google Vertex AI

, or equivalent platforms.

- Experience building enterprise-scale production AI/GenAI platforms

.

- Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, or related field.

Key Skills:

AI/ML | GenAI | LLM | RAG | Agentic AI | Python | LangChain | LlamaIndex | Vector DB | MLOps | LLMOps | AWS/Azure/GCP | Kubernetes | AI Architecture

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