Artificial Intelligence Architect

Job Title - Architect - AI (Artificial Intelligence)
(Hiring for Multiple roles at various levels)
Experience - 6+ to 15 years of total experience
Must Have Skills - Agentic AI, AI Evaluation Frameworks, Python, R, Scala, Java, LLM Frameworks and tools
Role Overview
Our client is looking for an experienced AI Architect/Lead to design, develop, and deploy enterprise-scale Generative AI and applied AI solutions. The ideal candidate will have strong expertise in LLMs, RAG architectures, AI Agent frameworks, and Cloud-based AI platforms, with the ability to lead end-to-end AI initiatives from concept to production.
Key Responsibilities
Design and architect scalable Generative AI and LLM-powered enterprise solutions.
Build and deploy RAG-based applications, AI agents, and multi-agent orchestration frameworks.
Drive prompt engineering, LLM fine-tuning, and model evaluation strategies.
Architect vector search and retrieval pipelines for enterprise knowledge systems.
Implement MLOps/LLMOps practices including versioning, experimentation, monitoring, and CI/CD for AI applications.
Collaborate with business and technical stakeholders to translate requirements into AI solution architectures.
Ensure AI security, governance, compliance, and responsible AI best practices.
Mentor and guide AI Engineers and Data Scientists on GenAI solution delivery.
Required Skills
AI/GenAI
Must Have:
Experience with LLM Frameworks and tools
Experience with MCP Servers
Agentic AI experience
AI Evaluation Frameworks
AI Security and Governance
LLMs: OpenAI, LLaMA, Gemini, BERT
RAG Pipelines, Prompt Engineering
AI Agent Frameworks & Agent Deployment
Model Design, Optimization & Deployment
Programming & Frameworks
Python, R, Scala, Java
Pandas, TensorFlow, PyTorch, Scikit-learn, Keras
Data & MLOps
Git, DVC, MLflow
Docker, Kubernetes, Kubeflow
Apache Airflow, CI/CD
Cloud & Platforms
AWS, Azure, GCP
AWS SageMaker, AWS Bedrock
Azure Machine Learning Services
Google AI Platform
Databricks, Snowflake, Salesforce, SAP Databases
RDBMS & NoSQL Databases
Vector Databases (Pinecone, Weaviate, Chroma, FAISS, Milvus, etc.)
Qualifications
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
12-15 years of experience in AI architecture and solution delivery.
Proven experience building enterprise-scale Generative AI and LLM-powered applications.
Strong leadership and stakeholder management skills.

Work arrangement
No