
Director – Solution Architect
1 week ago
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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