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.