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.
- Robust leadership and stakeholder management skills.

📌 Artificial Intelligence Architect (Pune)
🏢 NorthStar HR Consultants
📍 Pune