AI Architect - Generative AI Solution

We're looking for a highly experienced AI Architect to lead the design, development, and deployment of next-generation AI and Generative AI solutions. This is an exciting opportunity to work on large-scale enterprise AI initiatives involving LLMs, RAG architectures, Machine Learning, Deep Learning, and Multi-Cloud platforms.

Job Details :

Role : AI Architect (GenAI) - 10+ Y - Bangalore - Chennai - Coimbatore - Pune - Hybrid - Contract 6M

Notice Period : Immediate Joiners Preferred

Scope Of Work :

- Architect and lead enterprise-scale AI, Machine Learning, and Generative AI solutions.

- Design and implement advanced AI platforms leveraging LLMs, RAG frameworks, vector databases, and intelligent agents.

- Define AI architecture blueprints, technical standards, and best practices across multiple projects.

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

- Build and optimize AI applications for performance, scalability, security, and governance.

- Drive AI adoption across cloud ecosystems including AWS, Azure, and GCP.

- Lead model deployment, monitoring, MLOps, and production AI lifecycle management.

- Evaluate emerging AI technologies and recommend innovative solutions to accelerate business outcomes.

- Mentor engineering teams and provide technical leadership across AI initiatives.

Key Skills :

1. AI & Generative AI :

- Generative AI (GenAI)

- Large Language Models (LLMs)

- Retrieval-Augmented Generation (RAG)

- AI Solution Architecture

- Prompt Engineering

- AI Agents & Autonomous Workflows

- Vector Databases

2. Machine Learning & Deep Learning :

- Machine Learning

- Deep Learning

- NLP & Transformer Models

- Model Training, Fine-Tuning & Optimization

3. Programming & Engineering :

- Python

- API Development

- AI Frameworks (LangChain, LlamaIndex, Hugging Face, etc.)

- Data Pipelines & Model Integration

4. Cloud & Infrastructure :

- AWS

- Microsoft Azure

- Google Cloud Platform (GCP)

- MLOps & AI Deployment Pipelines

- Containerization & Scalable Architecture

Ideal Candidate :

- 10+ years of overall IT experience with significant exposure to AI and advanced analytics.

- Proven experience architecting and delivering enterprise AI/GenAI solutions.

- Deep understanding of LLM ecosystems, RAG architectures, and AI application design patterns.

- Experience working with multi-cloud environments and scalable distributed systems.

- Strong stakeholder management, consulting, and leadership capabilities.

- Ability to guide cross-functional teams from concept through production deployment.

(ref:hirist.tech)