Senior Generative AI Architect

Job Description

Job Title/Role: Senior Generative AI Architect

Key Skills: Python, GenAI & LLM Engineering,

Experience: 10-15 Years experience

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:

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• Architecture Design: Develop and maintain the architectural framework for generative AI solutions, ensuring alignment with business goals and technical standards.
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• 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.
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• Integration: Collaborate with software engineering teams to integrate generative AI capabilities into existing systems and workflows.
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• Scalability & Performance: Ensure AI solutions are scalable, efficient, and optimized for performance across different platforms and environments.
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• Ethical AI Practices: Implement and enforce ethical guidelines for AI development and deployment, addressing issues such as bias, fairness, and transparency.
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• 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.
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• Collaboration: Work closely with data scientists, engineers, product managers, and other stakeholders to identify opportunities for AI-driven solutions and ensure successful project delivery.
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• Documentation & Standards: Create comprehensive documentation for AI architectures, processes, and best practices.
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• Establish and maintain coding and architectural standards.
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Required Skills & Experience:

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• Minimum of 7 years of experience in AI/ML architecture or a related role.
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• Proven experience in designing and deploying generative AI models and solutions.
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• Hands-on experience with AI frameworks and tools such as TensorFlow, PyTorch, Hugging Face, etc.
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• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and deploying AI solutions in cloud environments.
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• Technical Skills: Proficiency in programming languages such as Python, Java, or C++.
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• Strong understanding of machine learning algorithms, deep learning
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Good to Have:

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