Director – Solution Architect

2 weeks ago


Bengaluru, India Antal International Full time

About the Role We are seeking a seasoned Director-level Solution Architect with deep expertise in Data Science, Classical Machine Learning, and Generative AI to lead strategic client engagements and solutioning for high-impact AI-driven transformation programs. You will work closely with business stakeholders, data engineering teams, and delivery leads to design scalable, value-driven AI/ML/GenAI solutions across industries. Key Responsibilities Client Engagement & Pre-Sales Act as a trusted advisor to CxOs and business leaders during solutioning and proposal stages Translate business problems into AI/ML/GenAI solution architectures Drive technical discussions, effort estimations, and proposal development Solution Design & Architecture Architect enterprise-scale data science and AI solutions including GenAI, NLP, computer vision, and ML models Build solution frameworks combining classical ML models , deep learning , LLMs , multi-modal models , and prompt engineering Ensure performance, scalability, and responsible AI principles are embedded into architecture Thought Leadership & Strategy Drive innovation initiatives around GenAI use cases and accelerators Stay up to date with the latest in LLMs (e.g., GPT, Claude, LLaMA), open-source tooling, and AI safety Represent the organization in conferences, webinars, and thought leadership publications Team Leadership Lead cross-functional solutioning teams including data scientists, ML engineers, cloud architects, and analysts Mentor senior architects and technologists to grow internal capability Required Skills and Experience 16–20 years of experience in data science, AI/ML solutioning, and architecture Strong foundation in classical ML algorithms , statistical modeling, supervised & unsupervised learning Proven track record in delivering production-grade AI/ML models and pipelines 3+ years hands-on or strategic experience with GenAI / LLMs , including use case design, model selection, fine-tuning, and deployment Deep understanding of cloud platforms (AWS, Azure, GCP) and MLOps frameworks Exposure to tools like LangChain, Hugging Face, OpenAI APIs, vector DBs (FAISS, Pinecone, etc.) Strong knowledge of Python , data science libraries (pandas, scikit-learn, transformers), and orchestration tools (Airflow, MLflow) Experience working across BFSI, Retail, Healthcare, or Manufacturing preferred Excellent stakeholder management, storytelling, and communication skills Preferred Qualifications Certifications in cloud (AWS/Azure/GCP), data science, or GenAI tools Experience with RAG pipelines, fine-tuning open-source LLMs, or building GenAI copilots



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