Gen AI Architect / Senior Technical Architect

We are seeking an experienced Generative AI Architect to design, build, and deploy advanced generative AI systems. The role involves architecting end-to-end AI solutions, selecting appropriate foundation models, designing LLM applications, integrating AI into enterprise platforms, and ensuring responsible AI practices. The architect will lead technical direction, collaborate with cross-functional teams, mentor engineers, and drive innovation across AI initiatives., * Architect and design end-to-end generative AI solutions across text, image, audio, and multimodal formats.

• Evaluate and select suitable foundation models (GPT, LLaMA, Stable Diffusion, etc.).
• Lead custom LLM development including fine-tuning, prompt engineering, RLHF, and optimization.
• Collaborate with engineering, product, design, and data science teams for AI integration.
• Ensure responsible AI practices covering fairness, privacy, and explainability.
• Guide AI infrastructure setup including data pipelines, vector DBs, model serving, and APIs.
• Conduct POCs, prototypes, and benchmark evaluations.
• Stay current with AI research and recommend emerging tools and methods.
• Mentor engineers and contribute to best practices and internal knowledge sharing.

Artificial Intelligence (AI), Artificial Intelligence (AI), Cross-Functional, Mentoring, Architectural Design, Technical Leadership, Software Design, Audio Data Formats, Data Science, Product Design, * Bachelors or Masters in Computer Science, AI, or related field.

• 7+ years in AI/ML with 3+ years in Generative AI (LLMs, diffusion models, etc.).
• Proven experience deploying large-scale AI systems.
• Deep understanding of transformer architectures and fine-tuning methods.
• Hands-on experience with PyTorch, TensorFlow, Hugging Face, LangChain, etc.
• Strong knowledge of cloud platforms (AWS/GCP/Azure) and scalable architectures.
• Experience with vector databases (FAISS, Pinecone, Weaviate) and RAG systems.
• Familiarity with responsible AI frameworks and privacy-preserving techniques., * Experience with open-source LLMs, quantization, and model distillation.
• Exposure to multimodal models (CLIP, DALL·E, Imagen).
• Contributions to AI research or open-source projects.
• Experience building GenAI copilots, chatbots, or productivity tools.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management.
• Ability to translate complex AI concepts into business value.
• Innovative, proactive, and collaborative mindset.