Job Summary :

We are hiring an experienced AI/ML Architect to design and deliver scalable, enterprise-grade AI/ML and Generative AI solutions. The role requires strong expertise in Azure, Databricks, Snowflake, and MLOps, with hands-on experience building production-grade AI platforms and LLM-based systems.

Key Responsibilities :

- Architect end-to-end AI/ML solutions (data - model - deployment - monitoring)

- Design GenAI systems (RAG, LLMs, semantic search, agent workflows)

- Build platforms using Azure (ML, AKS, Synapse, ADF), Databricks, Snowflake

- Implement MLOps/LLMOps frameworks (MLflow, CI/CD, retraining pipelines)

- Deploy scalable systems using Docker, Kubernetes (AKS), APIs

- Design real-time & batch data pipelines (Spark, Kafka, Airflow)

- Ensure governance, security, monitoring (IAM, RBAC, Prometheus, Grafana)

- Define architecture (HLD/LLD), scalability, and performance optimization

- Lead teams and collaborate with stakeholders to drive AI strategy

Required Skills :

- 8+ years in AI/ML, Data Engineering, or Platform Engineering

- Strong in Python, SQL, APIs (FastAPI/Flask)

- Experience with TensorFlow, PyTorch, Scikit-learn

- Hands-on with Azure ML, AKS, Databricks, Snowflake

- Strong MLOps (MLflow, CI/CD, Docker, Kubernetes)

- Experience with LLMs, RAG, vector DBs, fine-tuning (LoRA/PEFT)

- Expertise in data pipelines, ETL, and distributed systems

Good to Have :

- Azure OpenAI / AI Foundry

- Multi-agent AI systems

- Terraform / DevSecOps practices

- Cross-cloud (AWS/GCP) exposure

Key Competencies :

- Architecture & system design

- Leadership & stakeholder management

- Problem-solving & innovation mindset