Architect - Artificial Intelligence Solutions (8-15 yrs)

We are seeking a dynamic and experienced leader to drive the growth of our AI practice with a focus on Generative AI, advanced NLP solutions, and Large Language Models (LLMs). This role is ideal for a seasoned professional who combines technical expertise with exceptional leadership skills, customer-facing experience, and a vision for scaling teams and capabilities.

Key Responsibilities :

Leadership & Growth :

- Lead, mentor, and grow a high-performing AI team, fostering innovation and collaboration.

- Develop and execute strategies to expand the practice and deliver measurable business value to clients.

Customer Engagement :

- Serve as a confident and articulate interface with clients, ensuring clear communication of AI strategies, solutions, and outcomes.

- Build trusted partnerships with clients, understanding their needs and aligning solutions to their goals.

AI Solution Development :

- Design and implement state-of-the-art NLP solutions, focusing on multi-class and multi-label text classification.

- Fine-tune and deploy private LLMs (e.g., LLaMA, Gemma) for tailored business applications.

- Develop Retrieval-Augmented Generation (RAG) pipelines leveraging vector databases like Pinecone or ChromaDB for high-performance solutions.

Operational Excellence :

- Oversee end-to-end model lifecycle management, including training, deployment, and monitoring.

- Integrate explainability into AI models, ensuring transparency and trust in decision-making.

- Collaborate with external LLM providers (e.g., OpenAI, Claude) to enhance and integrate AI capabilities.

Skills & Qualifications :

Leadership & Communication :

- Proven ability to lead and inspire teams, with a track record of scaling AI practices.

- Exceptional communication and presentation skills, capable of engaging diverse stakeholders confidently.

Technical Expertise :

- Extensive experience with NLP techniques and multi-class/multi-label text classification.

- Hands-on experience fine-tuning private LLMs (e.g., LLaMA, Gemma).

- Proficiency in PyTorch, Hugging Face, LangChain, Haystack, and related frameworks.

- Strong knowledge of model orchestration tools like MLFlow or KubeFlow.

- Familiarity with RAG techniques and vector stores (e.g., Pinecone, ChromaDB).

Strategic Mindset :

- Visionary thinking with the ability to translate emerging AI trends into actionable business strategies.

Good to have :

- Experience with multi-modal AI models (e.g., image-text, text-audio models).

- Expertise in Databricks for scalable model development and deployment.

- Knowledge of Explainability AI tools (e.g., Captum) for interpretable models.