Job Title:  Manager | Solution Architect | Bengaluru | Sustainability & Emerging Assurance

Cloud AI solution architect

You Will 

• Design and own end to end AI solution architectures that align with business objectives and enterprise standards. 
• Translate complex business challenges into scalable AI/ML and Generative AI solutions. 
• Lead the architecture and implementation of LLM based systems, RAG pipelines, ML models, and AI driven applications. 
• Define and oversee architectures for data pipelines, model training, inference, deployment, and lifecycle management. 
• Select and evaluate appropriate AI frameworks, tools, cloud services, and platforms to meet solution requirements. 
• Ensure AI solutions meet security, compliance, scalability, performance, and reliability standards. 
• Provide technical leadership and architectural guidance to engineering, data science, and AI teams. 
• Drive adoption of AI best practices, governance frameworks, and responsible AI principles. 
• Collaborate closely with product managers, engineers, data scientists, and stakeholders to deliver business aligned AI solutions. 
• Present architectural decisions and solution designs to both technical and nontechnical audiences. 

Responsibilities 

• Own solution design reviews, including architecture diagrams, system designs, and AI integration patterns. 
• Review and guide code quality, system designs, and model integration approaches. 
• Lead cross functional design discussions and mentor architects and senior engineers. 
• Define standards for enterprise AI architecture, MLOps, and cloud native AI systems. 
• Ensure AI systems follow identity, security, access management, and compliance requirements. 
• Support strategic planning for AI platform evolution and enterprise AI adoption. 
• Balance hands-on execution with a long-term architectural and strategic mindset. 

Qualifications 

• 10+ years of experience in software architecture, solution design, or enterprise systems. 
• Strong hands-on expertise in AI/ML architectures and Generative AI solutions. 
• Proven experience working with LLMs such as Open AI, Azure Open AI, Hugging Face, or Anthropic. 
• Deep understanding of the ML lifecycle, including data preparation, training, evaluation, deployment, and monitoring. 
• Strong proficiency in Python and AI/ML libraries such as TensorFlow, PyTorch, and scikitlearn. 
• Experience designing RESTful and event driven APIs for AI systems. 
• Solid understanding of data architectures, including SQL, NoSQL, data lakes, and vector databases. 
• Hands-on experience with cloud platforms (Azure preferred; AWS or GCP acceptable). 
• Working knowledge of MLOps practices, including CI/CD, model versioning, and monitoring. 
• Experience with containerized and cloud native architectures (Docker, Kubernetes, microservices). 
• Familiarity with identity, security, and access management for AI systems. 
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. 
• Cloud or AI architecture certifications are a plus. 
• Experience in regulated industries (finance, healthcare, manufacturing) is advantageous. 
• Strong communication, stakeholder management, and leadership skills with the ability to mentor teams effectively.