Generative AI Solutions Architect
Location :
Bengaluru

Experience :
8 - 12 Years

Work Mode :
Hybrid / On-site

Job Description
We are looking for an experienced Generative AI Solutions Architect to design, build, and deploy enterprise-grade Generative AI and AI/ML solutions. The ideal candidate should have strong expertise in LLMs, RAG, Python, AI/ML frameworks, cloud platforms, and contemporary GenAI architectures, along with experience providing technical leadership to engineering teams.

Key Responsibilities
- Design and implement enterprise-grade Generative AI and AI/ML solutions.
- Define AI strategies, technology roadmaps, and reference architectures.
- Architect and develop scalable RAG-based AI applications.
- Design solutions using LLMs, vector databases, embeddings, and semantic search.
- Evaluate and integrate appropriate AI/ML and cloud technologies.
- Provide technical guidance on Python, ML/DL, LLM, and GenAI frameworks.
- Mentor and guide AI Engineers, ML Engineers, Data Scientists, and development teams.
- Drive architecture and technical design reviews.




- Optimize AI solutions for accuracy, performance, scalability, security, and cost.
- Collaborate with business, product, data, and engineering stakeholders to translate requirements into AI solutions.
- Evaluate emerging technologies in Generative AI, Agentic AI, and LLM ecosystems.
- Establish best practices around AI engineering, deployment, monitoring, and responsible AI.

Mandatory Skills
- Generative AI / LLMs
- Python
- RAG
- Vector Databases
- LangChain
- Hugging Face
- Machine Learning / Deep Learning
- TensorFlow / PyTorch
- Cloud platforms - AWS / Azure / GCP
- AI/ML Solution Architecture

Good To Have
- Agentic AI / Multi-Agent Systems
- Prompt Engineering
- LLM Evaluation
- MLOps / LLMOps
- Knowledge Graphs
- Semantic Search
- Azure OpenAI / Amazon Bedrock / Google Vertex AI
- Enterprise AI governance and security

Preferred Candidate Profile
- Strong experience designing and delivering ente

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