Senior Generative AI at Plainsboro, New Jersey

Senior Generative AI Architect

We at Coforge are hiring an experienced Senior Generative AI Architect with strong expertise in Generative AI, cloud-native architecture. The ideal candidate will have a hands-on background in Generative AI solutions, system design, and AI-driven customer experience solutions, with the ability to design, build, and scale intelligent solutions for enterprise clients.

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.

Required Skills & Experience:

• Minimum of 7 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

Good to Have:

• Designing test strategies for deterministic and non-deterministic (AI) systems
• Establishing measurable benchmarks for LLM performance and system reliability