Artificial Intelligence Architect - Generative AI (10-15 yrs)

AI Architect.

Experience : 10+ to 15 years.

Job Location : Bangalore ( Hybrid).

Note : This is for one of our UK based product development client for their Bangalore office.

Job Description :

We are seeking an experienced and visionary AI Architect to lead the design, research, and deployment of cutting-edge AI solutions.

This role combines advanced technical expertise with a strong research acumen to innovate in areas of generative AI, fine-tuning, NLP, retrieval systems, and scalable AI deployment.

The ideal candidate will have a passion for solving complex problems and a track record of delivering impactful AI solutions in production environments.

Key Responsibilities :

- Model Research and Innovation.

- Conduct advanced research to fine-tune, optimize, and integrate state-of-the-art generative AI models, including Llama, Gemma, Llava, BLIP, CLIP, and other LLMs and VLMs.

- Explore and leverage state-of-the-art architectures, such as transformers and retrieval-augmented techniques (RAG) , to develop innovative solutions aligned with cutting-edge advancements.

- Apply deep mathematical principles to foster innovation in algorithm and architecture research.

- Fine-Tuning Expertise.

- Leverage fine-tuning methodologies, including PEFT (e.g , LoRA, QloRA, etc), to adapt pre-trained models for specialized use cases.

- Develop strategies to enhance model efficiency, scalability, and robustness while minimizing computational costs.

- Natural Language Processing and Retrieval Systems.

- Build sophisticated NLP pipelines and retrieval-based systems to enable advanced contextual understanding and interaction.

- Utilize tools like LangChain, LangGraph, and LlamaIndex for seamless integration of language models into real-world applications.

- Conduct original research to develop bespoke frameworks where off-the-shelf solutions are insufficient, ensuring optimal performance and scalability.

- MLOps and Deployment

- Architect and deploy scalable, robust AI systems leveraging frameworks such as PyTorch and PyTorch Distributed for multi-instance GPU fine-tuning and training.

- Implement MLOps best practices for CI/CD, model monitoring, and performance optimization in production.

Collaborative Development :

- Partner with cross-functional teams to translate business objectives into actionable AI-driven solutions.

- Foster a culture of continuous learning, innovation, and excellence across the organization.

Technical Proficiency :

- Proficiency in frameworks such as PyTorch and tools like LangChain, LangGraph, LlamaIndex, Milvus, W&B, DeepSpeed, etc.

- Proven experience with fine-tuning methodologies, including PEFT (LoRA, QLoRA), RLHF, and advanced prompting techniques (Few-Shot, Zero-Shot, etc).

- Strong understanding of distributed training, retrieval systems, and scalable NLP techniques.

- Familiarity with MLOps practices and tools for robust AI system deployment.

- Mathematical and Research Acumen.

- In-depth knowledge of linear algebra, calculus, probability, statistics, and optimization techniques.

- Ability to interpret and implement methodologies from complex research papers and high-impact journals.

- Proven capability to track and synthesize state-of-the-art research from A- conferences and academic publications for applied use.

Who Should Apply ?

- This position is ideal for individuals with a strong foundation in AI research, hands-on experience with generative models, and a desire to push the boundaries of innovation.

- If you are passionate about leveraging AI to solve complex challenges and excel in a fast-paced, research-driven environment, we want to hear from you!.

Location : On-site, Bangalore.

Experience Required : 10+ Years.

Education : Master's in Computer Science, Mathematics, AI, or a related field preferred.