TC-Gen AI Architect -Manager
- Kochi, Kerala
- Permanent
- Full-time
- Lead, mentor, and develop a cross-functional team of full-stack and AI engineers.
- Drive the architecture, design, and execution of AI-enabled digital solutions.
- Collaborate with product managers, designers, and business stakeholders to translate requirements into technical solutions.
- Oversee project timelines, sprint planning, code reviews, and engineering best practices.
- Ensure AI solutions meet enterprise requirements for quality, security, scalability, and responsible AI compliance.
- Conduct code reviews, performance tuning, and prompt optimization.
- Design, develop, and integrate solutions using large language models, multimodal models, and custom fine-tuned AI systems.
- Evaluate and implement emerging generative AI technologies, frameworks, and toolsets.
- Build pipelines for model inference, optimization, and monitoring in production environments.
- Implement Retrieval-Augmented Generation (RAG) pipelines integrating vector databases.
- Design and optimize prompts, chains, and agentic workflows for domain-specific use cases.
- Collaborate closely with UX teams to ensure world class customer experiences.
- Implement front end integration with AI features such as chat interfaces, copilots, and content generators.
- Architect and build secure, scalable APIs and microservices using Node.js, Python, Java, .NET, or equivalent back end technologies.
- Implement data pipelines and integrate AI services into enterprise systems.
- Ensure sound application design principles including modularity, performance optimization, and cloud-native patterns.
- Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field.
- 10+ years of total experience, including at least 3 years in AI/ML solution development and 3 years in software development.
- Strong hands-on experience building full-stack applications and AI powered features.
- Strong proficiency in Python and experience with AI/ML frameworks (PyTorch, TensorFlow, Hugging Face Transformers).
- Proven hands-on experience developing solutions using LLM APIs (OpenAI, Azure OpenAI, Anthropic, Cohere, etc.).
- Experience with prompt engineering, embeddings, and vector search.
- Deep understanding of cloud architectures, APIs, microservices, and distributed systems.
- Experience with UI frameworks such as React, Angular, NextJS or similar.
- Experience in building conversational AI, copilots, or workflow automation tools.
- Familiarity with orchestration frameworks like LangChain, LlamaIndex, or Semantic Kernel.
- Experience integrating GenAI with enterprise systems (SharePoint, ServiceNow, SAP, etc.).
- Understanding of responsible AI principles - data privacy, model safety, and bias mitigation.