Senior Generative AI Architect

Job Title/Role: Senior Generative AI Architect Location: Princeton, NJ 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 #J-18808-Ljbffr