Description

You will lead the design and implementation of advanced AI platforms and data systems.

Responsibilities

• Prototype and operationalize advanced AI solutions, including GenAI and LLM-based systems.
• Build and integrate cloud-native data pipelines using Snowflake, Airflow, and Vertex AI.
• Implement retrieval-augmented generation (RAG) pipelines and multimodal data solutions.
• Drive automation, observability, and performance optimization across AI and data workflows.

Required Skills

• 6–8 years experience in AI/ML engineering or architecture roles, or 10+ years in enterprise data architecture/engineering with a strong hands-on AI focus.
• Proven experience building and scaling an AI platform end-to-end.
• Expertise in LLMs, GenAI, and Agentic AI development.
• Strong AWS architecture and integration skills, including mandatory experience with Amazon Bedrock and related AWS AI services.
• Proficiency in Python and SQL.
• Experience with core data tools like Snowflake, Airflow, and PySpark.
• Familiarity with LangChain and vector databases.
• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or related field.

Preferred Skills

• Experience with regulated industries (finance, healthcare, pharma).
• Knowledge of prompt engineering and data governance.
• Experience with agentic AI design patterns or autonomous workflow agents.

Key Skills

Education

Any Graduate