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Solution Architect - LLM/RAG

Praharsh Technologies Pvt Ltd
11 - 17 Years
Mumbai

Posted on: 26/06/2026

Job Description

Key Responsibilities :

Solution Architecture :

- Design end-to-end AI and Data solution architectures for enterprise customers.

- Translate business requirements into scalable, secure, and high-performance technical solutions.

- Define architecture blueprints, technology stacks, and implementation roadmaps.

- Ensure solutions align with enterprise architecture standards and best practices.

Customer Engagement & Consulting :

- Collaborate with customers to understand business challenges and technical requirements.

- Lead solution discovery workshops and technical discussions.

- Provide strategic technology consulting and recommend AI-driven solutions.

- Present architecture proposals and solution approaches to business and technical stakeholders.

AI & Data Solutions :

Design enterprise AI and analytics solutions leveraging :

1. Large Language Models (LLMs)

2. Retrieval-Augmented Generation (RAG)

3. Machine Learning

4. Data Analytics

5. AI-powered applications

- Build Proof of Concepts (PoCs) to validate proposed solutions.

Pre-Sales & Solutioning :

Prepare :

1. Technical Proposals

2. Solution Architecture Documents

3. Statements of Work (SoW)

4. Technical Presentations

- Support pre-sales activities and customer solution demonstrations.

Cloud Architecture :

Design cloud-native AI and Data platforms using :

1. AWS

2. Microsoft Azure

3. Google Cloud Platform (GCP)

- Recommend cloud services, security models, and deployment architectures.

Required Skills :

AI & Data :

- Artificial Intelligence, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Data Analytics, Enterprise AI Solutions.

Architecture :

- Enterprise Solution Architecture, Technical Consulting, Solution Design, Architecture Documentation, PoC Development.

Cloud Platforms :

- Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP).

Domain Expertise :

- BFSI (Banking, Financial Services & Insurance).

Documentation :

- Solution Documents, Statement of Work (SoW), Technical Proposals.

Preferred Skills :

- Experience in Generative AI solutions.

- Knowledge of Data Engineering and Data Platforms.

- Experience with AI frameworks and cloud-native architectures.

- Strong stakeholder management and presentation skills.

- Experience working in customer-facing consulting roles.

Education :

- Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

Key Skills :

- Solution Architecture, AI, Data Analytics, BFSI, LLM, RAG, Generative AI, AWS, Azure, GCP, Technical Consulting, PoC, Statement of Work (SoW), Technical Proposals, Cloud Architecture, Enterprise Solutions.

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