GenAI Architect

  • Posted 13 days ago | Updated 3 hours ago

Overview

$DOE
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - Term Contract

Skills

CLOUD INFRA
Azure Security
Gen ai
LLM
Cloud AI

Job Details

Position:GenAI Architect
Location: Philly PA (Remote role)
DurationL Long Term Contract
Key Skills:
Open AI
Cloud Infra
Azure Security
Gen AI
LLM
Job Details:
Experience Level 8 Plus years (with at least 2 to 3 years in AI/ML/GenAI)
Key Responsibilities
  • 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
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
  • 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
Tekshapers is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information, or any characteristic protected by law.
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