GenAI Architect

Title: GenAI FullStack Architect Position: Contract Location: Remote Start Date: Immediate We are seeking a highly skilled and experienced GenAI Architect with a strong background in Full-Stack Development to join our team. The ideal candidate will play a pivotal role in designing, developing, and deploying cutting-edge Generative AI solutions while leveraging full-stack expertise to ensure seamless integration into enterprise systems. This is an excellent opportunity for a passionate technologist to lead AI-driven innovations that deliver significant business value. Responsibilities:

• Design and implement scalable Generative AI solutions leveraging models such as GPT, DALL-E, Whisper, and other advanced LLMs.
• Evaluate and fine-tune pre-trained models to meet business requirements.
• Architect solutions for Natural Language Processing (NLP), computer vision, and multimodal AI applications.
• Integrate AI/ML pipelines with MLOps practices for efficient model lifecycle management.
• Lead the end-to-end development of AI-enabled platforms, encompassing both frontend and backend architectures.
• Develop APIs and microservices to integrate Generative AI functionalities with enterprise systems.
• Build intuitive user interfaces and dashboards for end-user interaction with AI models.
• Optimize system performance, ensuring responsiveness and scalability.
• Integrate Generative AI models into enterprise ecosystems using cloud platforms like AWS, Azure, or GCP.
• Leverage containerization and orchestration technologies like Docker and Kubernetes for deployment.
• Ensure seamless integration with databases, data pipelines, and third-party applications.
• Work closely with product managers, data scientists, and engineering teams to define technical requirements and deliverables.
• Mentor junior engineers and establish best practices in AI model development, deployment, and full-stack engineering.
• Collaborate with stakeholders to identify opportunities for Generative AI to solve complex business challenges.
• Ensure all AI applications adhere to enterprise security, data privacy, and regulatory compliance standards.
• Implement secure authentication and authorization mechanisms for AI-powered platforms.

• A minimum of 8+ years in software development, with at least 3 years in AI/ML and full-stack development.
• Proven experience in architecting and deploying Generative AI solutions using frameworks like PyTorch, TensorFlow, or Hugging Face.
• Strong proficiency in frontend technologies (React, Angular, or Vue.js) and backend development (Node.js, Python, or Java).
• Hands-on experience with RESTful APIs, GraphQL, and microservices architecture.
• Knowledge of SQL/NoSQL databases (PostgreSQL, MongoDB, Cosmos DB, etc.).
• Experience with CI/CD pipelines and DevOps practices.
• Proficiency in cloud services: Azure AI Services, AWS SageMaker, or Google Vertex AI.
• Exceptional problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work in an agile environment and manage multiple priorities.