Senior Generative AI Architect – London

LetzBizz

Chennai District

Hybrid

INR 19,375,000 - 24,541,000

Full time

14 days+
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Job summary

LetzBizz is seeking a Senior Generative AI Architect to lead the design, development, and implementation of enterprise-scale AI solutions across the organization. You will shape AI strategy, set standards, and collaborate with product, data, and engineering teams to drive impactful outcomes.

The role requires deep expertise in AI/ML, LLMs, cloud platforms, governance, and responsible AI practices, along with strong leadership to ensure scalable, secure, and compliant AI delivery.

Qualifications

  • 10+ years of experience in Artificial Intelligence and Machine Learning.
  • 7+ years of experience in AI/ML Architecture.
  • Hands-on experience with LLMs and enterprise AI platforms.
  • Experience designing and deploying Generative AI solutions.
  • Experience with AWS, Azure, or Google Cloud.
  • Experience building scalable production-grade AI applications.

Responsibilities

  • Design and maintain enterprise-grade Generative AI architectures.
  • Define AI frameworks, standards, and best practices.
  • Align AI initiatives with business objectives and technology strategies.
  • Lead architecture reviews and technical decision-making.
  • Design scalable AI infrastructure across cloud environments.
  • Monitor and optimize AI workloads for performance and cost.

Skills

Generative AI
Machine Learning
Deep Learning
Natural Language Processing
Large Language Models
Prompt Engineering
Fine-Tuning Models
AI Solution Design

Tools

TensorFlow
PyTorch
Hugging Face
LangChain
LlamaIndex
Kubernetes
Docker

Job description

About The Role

We are looking for an experienced

Senior Generative AI Architect

Location

London, United Kingdom

Work Mode

Hybrid

Experience

10+ Years

Employment Type

Full-Time

About The Role

We are looking for an experienced Senior Generative AI Architect to lead the design, development, and implementation of enterprise-scale Generative AI solutions.

The ideal candidate will possess strong expertise in Artificial Intelligence, Machine Learning, Large Language Models (LLMs), Cloud Platforms, and AI Architecture. This role requires a strategic thinker who can design scalable AI solutions while ensuring security, governance, and responsible AI practices.

Key Responsibilities
AI Architecture & Solution Design
  • Design and maintain enterprise-grade Generative AI architectures.
  • Define AI frameworks, standards, and best practices.
  • Align AI initiatives with business objectives and technology strategies.
  • Lead architecture reviews and technical decision-making.
Generative AI Development
  • Design, train, fine-tune, and deploy Generative AI models.
  • Build solutions using Large Language Models (LLMs).
  • Develop AI-powered applications for content generation, automation, summarization, and knowledge management.
  • Implement Retrieval-Augmented Generation (RAG) architectures.
Integration & Platform Engineering
  • Integrate AI solutions with enterprise systems and business workflows.
  • Collaborate with engineering teams to embed AI capabilities into existing applications.
  • Design scalable AI infrastructure across cloud environments.
Performance & Scalability
  • Optimize AI workloads for performance and cost efficiency.
  • Ensure high availability, scalability, and reliability of deployed AI solutions.
  • Establish monitoring and observability mechanisms.
Responsible AI & Governance
  • Implement AI governance frameworks.
  • Address fairness, explainability, bias, transparency, and security concerns.
  • Ensure compliance with organizational and regulatory requirements.
Research & Innovation
  • Stay updated with emerging AI technologies and industry trends.
  • Evaluate new frameworks, tools, and models.
  • Drive innovation through AI adoption and experimentation.
Leadership & Collaboration
  • Work closely with Product Managers, Data Scientists, Engineers, and Business Stakeholders.
  • Mentor technical teams and provide architectural guidance.
  • Support solution workshops and strategic AI initiatives.
Mandatory Skills
Artificial Intelligence & Machine Learning
  • Generative AI
  • Machine Learning
  • Deep Learning
  • Natural Language Processing (NLP)
  • Large Language Models (LLMs)
  • Prompt Engineering
  • Fine-Tuning Models
  • AI Solution Design
AI Frameworks
  • TensorFlow
  • PyTorch
  • Hugging Face
  • LangChain (Preferred)
  • LlamaIndex (Preferred)
Cloud Platforms
  • Microsoft Azure
  • Amazon Web Services (AWS)
  • Google Cloud Platform (GCP)
Programming Languages
  • Python (Mandatory)
  • Java
  • C++
Enterprise Architecture
  • AI Platform Architecture
  • Cloud-Native Architecture
  • MLOps
  • CI/CD
  • Containerization
  • Kubernetes
  • Docker
Experience Requirements
Mandatory
  • 10+ years of overall experience in Artificial Intelligence and Machine Learning.
  • 7+ years of experience in AI/ML Architecture.
  • Strong experience designing and deploying Generative AI solutions.
  • Hands-on experience with LLMs and enterprise AI platforms.
  • Experience working with AWS, Azure, or Google Cloud.
  • Experience building scalable production-grade AI applications.
Preferred
  • Experience with RAG architectures.
  • Experience with AI Agents and Agentic Workflows.
  • Experience leading enterprise AI transformation programs.
  • Strong stakeholder management and leadership skills.
Required by Hiring Team
  • 10+ Years of Machine Learning Experience
  • 10+ Years of Artificial Intelligence (AI) Experience
  • 10+ Years of Cloud Platform Experience
Why Apply?
  • Opportunity to work on cutting-edge Generative AI initiatives.
  • Exposure to enterprise-scale AI transformation programs.
  • Collaborative and innovation-driven environment.
  • Opportunity to architect next-generation AI solutions.
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