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Generative AI Solutions Architect

Nous Infosystems

 

Bengaluru, Karnataka, India

Posted On: 4 days ago
Experience: 8+ years
Availability: Hybrid
Openings: 1
Category: Generative AI Architect
Tenure: No Preference/Any
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Description

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

Education

Any Graduate

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