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# Gen AI Architect

- **Company:** Mas Tek IT LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Databases, Continuous Integration, Python (Programming Language), Performance Tuning, OpenAI, Search Technologies, Software Engineering, Enterprise Search, Pinecone, Enterprise Software Applications, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Google Vertex AI, Hallucination Detection, Model Validation, Llamaindex, Generative AI, Agentic-AI, Kubernetes, Amazon Bedrock, HuggingFace, Weaviate, Machine Learning Operations, FAISS, Docker, ChromaDB, Microservices, Data Generation
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/2e7e397d-7b15-42e8-bd03-0311ed927d40

## About the Role

Experience: 10+ years overall, with 2+ years in Generative AI, · 10+ years of experience in software engineering, AI/ML, data science, or related fields.

· 2+ years of hands-on Generative AI implementation experience.

· Strong Python programming skills.

· Experience with LLMs and platforms such as OpenAI, Azure OpenAI, Amazon Bedrock, or Google Vertex AI.

· Hands-on experience building RAG applications and AI assistants.

· Experience with LangChain, LlamaIndex, Hugging Face, or similar frameworks.

· Knowledge of vector databases such as Pinecone, FAISS, Weaviate, Chroma, or Azure AI Search.

· Experience with AI agents, prompt engineering, model evaluation, and hallucination mitigation.

· Understanding of cloud platforms, APIs, microservices, CI/CD, Docker, Kubernetes, and LLMOps.

· Strong technical leadership, communication, and stakeholder management skills.

Preferred Qualifications

· Experience with multi-agent systems and agentic AI.

· Knowledge of fine-tuning, multimodal AI, and synthetic data generation.

· Experience with AI governance, security, privacy, and regulatory compliance.

· Experience delivering enterprise AI solutions in financial services, healthcare, insurance, or other regulated industries.

## Description

· Lead the architecture, design, development, and deployment of GenAI solutions.

· Build production-grade applications using LLMs, RAG, AI agents, and agentic workflows.

· Develop solutions using Python, LangChain, LlamaIndex, and other GenAI frameworks.

· Implement vector search, embeddings, prompt engineering, and model evaluation.

· Integrate AI solutions with enterprise applications, APIs, databases, and cloud platforms.

· Establish best practices for AI security, governance, performance, scalability, and cost optimization.

· Implement monitoring, testing, CI/CD, MLOps, and LLMOps practices.

· Lead technical teams, mentor developers, and collaborate with business and technology stakeholders.