Director – Solution Architect

1 week 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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