Generative AI Architect

Coforge; Greater London; Hybrid; GBP 120,000 - 180,000; Full time

Job summary

Coforge in London, UK, is hiring a Generative AI Architect. Hybrid work mode allows three days in the office weekly. You will design, develop, and implement generative AI solutions, leading architecture, model training, and deployment.

The role requires deep expertise in generative AI, AI ethics, and collaboration with cross-functional teams to deliver scalable, secure AI initiatives. Strong experience with TensorFlow, PyTorch, and Hugging Face is expected.

Qualifications

• 7+ years in AI/ML architecture or related role.
• Proven experience deploying generative AI models and solutions.
• Hands-on with TensorFlow, PyTorch, and Hugging Face.

Responsibilities

• Architecture Design: Develop and maintain the architectural framework for generative AI solutions aligned with business goals.
• Model Development: Lead design, training, and deployment of generative AI models (e.g., GPT, DALL‑E, Stable Diffusion).
• Integration: Collaborate with software engineering to integrate AI capabilities into existing systems and workflows.
• Scalability & Performance: Ensure AI solutions are scalable and optimized for performance across platforms.
• Ethical AI Practices: Implement ethical guidelines addressing bias, fairness, and transparency.
• Research & Innovation: Stay abreast of advancements and incorporate new techniques into the AI strategy.
• Collaboration: Work with data scientists, engineers, product managers, and stakeholders.
• Documentation & Standards: Create documentation for architectures and practices.
• Establish and maintain coding and architectural standards.

Skills

AI/ML architecture

AI frameworks

AI models & solutions

Cloud platforms

Tools

TensorFlow

PyTorch

Hugging Face

Job description

Work mode: Hybrid – 3 days weekly from office

Skills: AI/ML architecture; AI frameworks; AI models & solutions; cloud platforms (e.g., AWS, Azure, Google Cloud)

We at Coforge are looking for Generative AI Architect in London, UK.

Job Description:

The Generative AI Architect will be responsible for designing, developing, and implementing generative AI solutions that align with the company's strategic objectives. This role involves leading the architecture and deployment of advanced AI models, ensuring scalability, security, and ethical considerations are integrated into all AI initiatives. The ideal candidate will possess deep expertise in generative AI technologies, a strong understanding of AI ethics, and the ability to collaborate effectively with cross-functional teams.

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.

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.