Posted on: 26/06/2026
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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