GenAI Architect

Overview

Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

Training
LangChain
HIPAA
Natural Language Processing
Deep Learning
PL/SQL
SQL
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Lifecycle Management
Python
RESTful
Cloud Computing
Semantic Search
Communication
Stakeholder Management
Solution Architecture
Collaboration
Use Cases
IT Strategy
Prompt Engineering
Data Storage
Vector Databases
Regulatory Compliance
Data Security
Privacy
Performance Tuning
Optimization
Microsoft Azure
JD
Artificial Intelligence
Machine Learning (ML)
Generative Artificial Intelligence (AI)

Job Details

  • Key Skills:

  • Open AI
  • Cloud Infra
  • Azure Security
  • Gen AI
  • LLM

  • Preferred Qualifications

  • Azure Cloud certifications
  • Experience in model fine-tuning and custom LLM training
  • Knowledge of LangChain, RAG (Retrieval-Augmented Generation) frameworks
  • Exposure to data privacy regulations (GDPR, HIPAA, etc.)
  • Background in natural language processing (NLP) and deep learning

  • Required Skills and Qualifications

  • Proven experience architecting AI/ML or GenAI systems on Azure
  • Hands-on experience with Open AI, Azure OpenAI, and related Azure AI tools
  • Strong understanding of LLMs, prompt engineering, and text generation frameworks
  • Proficiency in PL/SQL with advanced SQL and performance tuning
  • Experience with MLOps, CI/CD pipelines, and AI model lifecycle management
  • Solid knowledge of Python, APIs, RESTful services, and cloud-native architecture Familiarity with vector databases and semantic search concepts
  • Strong communication and stakeholder management skills
  • Design and implement GenAI architectures leveraging Microsoft Azure and Open AI models
  • Lead solution architecture and integration of generative AI models into enterprise applications
  • Collaborate with data scientists, engineers, and business stakeholders to define AI use cases and technical strategy
  • Develop and optimize prompt engineering, model fine-tuning, and deployment pipelines
  • Design scalable data storage and retrieval layers, using vector databases (e.g., Azure AI Search, Pinecone, or FAISS)
  • Evaluate third-party GenAI APIs and tools for integration
  • Ensure compliance with data security, privacy, and responsible AI guidelines
  • Support performance tuning, monitoring, and optimization of AI solutions in production Stay updated with evolving trends in GenAI and Azure offerings, especially related to Open AI

  • JD:

    Experience Level 8 Plus years (with at least 2 to 3 years in AI/ML/GenAI)

    Key Responsibilities


Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.