What are the responsibilities and job description for the GEN AI position at Wall Street Consulting Services LLC?

8 years of overall IT experience with strong expertise in AI/ML and Data Engineering.
Design and develop GenAI solutions using LLMs, RAG, AI Agents, prompt engineering, and vector databases.
Build scalable data pipelines using Python, PySpark, SQL, and cloud data platforms such as Azure, AWS, or GCP.
Hands-on experience with Azure OpenAI, Amazon Bedrock, OpenAI APIs, LangChain/LangGraph, Semantic Kernel, or similar AI frameworks.
Strong experience with Databricks, Microsoft Fabric, Snowflake, Synapse, or Spark-based data platforms.
Develop and optimize ETL/ELT pipelines, data models, and feature engineering workflows for AI applications.
Experience with ML model deployment, MLOps, Docker, Kubernetes, CI/CD, MLflow, and model monitoring.
Knowledge of vector databases such as Pinecone, FAISS, ChromaDB, Azure AI Search, or Weaviate.
Proficiency in cloud services, REST APIs, Git, and enterprise security/governance best practices.
Excellent problem-solving, communication, and stakeholder collaboration skills, with experience delivering enterprise-scale AI and data solutions.

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