Principal Scientist

adobe

Noida 15 Years Exp Posted 206d ago

Job Responsibilities

Lead the technical design, implementation, and evolution of AEP Knowledge Base and Agentic AI systems.
Strong background in distributed storage (Delta Lake, Iceberg), compute (Spark), data warehousing (Snowflake, BigQuery, Redshift) and cloud services (Azure, AWS, GCP).
Work hands-on with foundation models (OpenAI, Anthropic, Llama, Gemini) and model adaptation techniques.
Architect RAG (Retrieval-Augmented Generation) pipelines and optimize vector databases (FAISS, Pinecone, Weaviate, Milvus) for enterprise-grade AI solutions.
Experience with foundation models (OpenAI/Anthropic/Llama/Gemini) and model adaptation techniques.
Design and deploy high-performance, low-latency distributed systems that scale globally.
Establish guidelines for evaluation, safety, and guardrails for system behaviour.
Collaborate with research and product teams to integrate modern capabilities into the Platform.
Mentor engineers, drive technical excellence, and foster a culture of continuous learning.
Contributions to open-source projects in the agent/LLM ecosystem is desirable.

What you will need to succeed

15+ years in design and development of large scale data intensive distributed systems.
3+ years as a lead / chief architect.
In depth work experience on technologies like Apache Spark, Delta Lake, Snowflake, Kubernetes, etc.
In depth work experience on one or more public clouds like Azure, AWS or GCP.
Strong background in Relational Stores (PostgreSQL, MySQL).
Strong experience in Vector Stores (Pinecone, Weaviate, Milvus).
Strong coding skills in Java, Scala, Python.
Proficiency in data structures and algorithms.
Cost consciousness around computation and memory requirements.
Excellent communication and collaboration skills to work with multi-functional R&D teams.
BTech/MTech/MS in Computer Science, AI/ML or related fields.