Generative AI Architect, Allentown PA (Hybrid)

Job Title: Generative AI Architect

Location: Allentown PA (Hybrid)

Key Responsibilities:

• Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards.
• Model Development: Lead the design, training, and deployment of generative AI models (e.g., GPT, DALL-E, Stable Diffusion) tailored to various applications such as content generation, data synthesis, and automation.
• Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows.
• Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments.
• Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency.
• Research & Innovation: Stay abreast of the latest advancements in generative AI and related fields, incorporating new techniques and tools into the company's AI strategy.
• Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery.
• Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices. Establish and maintain coding and architectural standards.
• Security: Ensure that generative AI systems comply with security protocols and data protection regulations.
• Mentorship: Provide guidance and mentorship to junior team members and foster a culture of continuous learning within the AI team.

Education:

Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A Ph.D. is a plus.

Experience:

• Minimum of 5 years of experience in AI/ML architecture or a related role.
• Proven experience in designing and deploying generative AI models and solutions.
• Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.

Technical Skills:

• Proficiency in programming languages such as Python, Java, or C++.
• Strong understanding of machine learning algorithms, deep learning architectures, and natural language processing.
• Familiarity with data preprocessing, feature engineering, and model evaluation techniques.
• Knowledge of API development and integration.
• Experience with containerization and orchestration tools like Docker and Kubernetes.

Must have Skills:

• Experienced and proven track record with analyzing GenAI requirements and proposing GenAI architecture solution that applies to use case and available data. Preferably using resources available in Azure.
• Experience with data sources used for GenAI ingestion like Sharepoint Online, Azure Blob Storage, Snowflake, Databricks.
• Experience with Microsoft 365 Copilot and Custom Copilots.
• Must possess expertise in prompt engineering
• Knowledge and experience with latest GenAI solutions, practices and standards,
• Must possess strong communication skills to be able to convey the intricacies of current GenAI architecture solutions to different audiences.
• Knowledge and experience with GenAI testing processes and implementation
• Knowledge and experience with latest GenAI "responsible AI" tools and implementation.
• A tactical AND strategic mindset to delivering GenAI solution architectures so they can be easily adapted as the technology evolves.

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