Lead Generative AI Architect — Hybrid (London)

Coforge

Greater London

Hybride

GBP 110 000 - 140 000

Plein temps

14 jours+

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Résumé du poste

Coforge in London, UK is seeking a Senior Generative AI Architect to design, develop and deploy scalable generative AI solutions. You will lead architecture, ensure security and ethics, and collaborate with cross-functional teams to deliver impactful AI initiatives.

The role requires 7+ years in AI/ML architecture, hands-on experience with TensorFlow/PyTorch/Hugging Face, and strong programming skills in Python/Java/C++. This is a hybrid role with 3 days in the office weekly.

Qualifications

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.

Responsabilités

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.