Job description

What We're Working On We help global enterprises build and scale digital products powered by high-volume, high-impact data. Our projects involve modern cloud data platforms, complex transformation pipelines, and real-time business insights. What you’ll do • Lead technical strategy for enterprise data & AI solutions • Guide architecture for data platforms, ML systems, and AI applications • Translate business needs into scalable, secure technical designs • Run architecture workshops and pre-sales solutioning with clients • Define best practices for responsible AI, data security, and governance • Oversee full model lifecycle—from development to deployment and monitoring • Mentor engineers and support technical decision-making • Evaluate emerging technologies to shape future solutions What We’re Looking For • 7+ years in data architecture, AI/ML solution design, or engineering leadership • Strong experience with modern data stacks (e.g., Snowflake, Databricks, BigQuery) • Hands-on knowledge of AWS, Azure, or GCP • Familiar with MLOps tools, model deployment, and CI/CD pipelines • Proven experience designing ML models in production environments • Skilled communicator across technical and business teams • Bonus: Experience with LLMs, vector databases, or RAG frameworks • Bonus: Experience sharing technical insights via blogs, talks, or other channels Ongoing recruitment – no set deadline.

Requirements