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.

• 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.

• 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 Tensor Flow, 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

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