Enterprise Data Architect

Generative AI & LLMs - hands-on experience integrating Large Language Models into applications.

Agentic AI - experience building AI agents and agent-driven workflows

LangGraph & MCP - hands-on experience with agentic frameworks/protocols

Prompt Engineering - experience designing and optimizing prompts for LLM-based applications

Vector Databases & Embeddings - experience with semantic search and AI application data layers

REST APIs / FastAPI - ability to develop and integrate backend services and AI APIs

Cloud - hands-on experience with AWS, Azure, or GCP; for your AWS-specific position, AWS should be mandatory

Devel op AI-powered applications using GenAI, LLMs, RAG, and Agentic AI.

Build scalable applications and APIs using Python/Java and modern full-stack technologies.

Integrate AI models with enterprise data and business applications.

Deploy solutions on AWS/Azure/GCP using CI/CD and cloud-native technologies.

Implement AI security, governance, monitoring, and Responsible AI practices.

Collaborate with business and engineering teams to automate processes and improve productivity

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.