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 modern 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 enterprise AI/GenAI solutions.

- Proven experience building RAG and LLM-powered applications.

- Strong understanding of cloud-native AI architectures.

- Excellent technical leadership and mentoring capabilities.

- Strong communication and stakeholder-management skills.

- Ability to work with senior leadership and guide enterprise AI transformation initiatives.