Director - AI CoE

Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We offer best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You’ll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire. Offices : New York | Dallas | San Francisco | Lima | Bengaluru The below role is for our Bengaluru office.

About the Role

You will work on a broad range of cutting-edge deep learning and Gen AI problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using deep learning and Gen AI , we would like to talk to you Role: Gen AI CoE Leader

Key Responsibilities

Identify emerging GenAI technologies and evaluate their business Establish best practices, governance, and responsible AI guidelines for GenAI Monitor emerging GenAI trends, tools, and Run innovation sprints to test applicability of cutting-edge GenAI Build reusable artifacts for common GenAI approaches Design end-to-end GenAI architectures to standardize

Work closely with

Pre-sales teams to validate feasibility of proposed Demo teams to ensure realistic and impactful AI capabilities in client Delivery teams for smooth transition from prototype to Ensure technical and business alignment throughout the solution Desired Skills & Experience 10+ years in AI/ML with at least 2+ years in GenAI research or applied Master’s Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields Deep expertise in Deep learning, LLMs, agentic AI , prompt engineering, RAG pipelines, and fine-tuning. Proven ability to work across cross-functional teams Proven track record of building and deploying GenAI solutions or Excellent written and verbal communication skills Proven ability to collaborate across delivery, marketing, and sales teams Familiarity with multiple domains (e.g., CPG, pharma, BFSI) Expertise in fairness, transparency, bias mitigation, and regulatory Knowledge of automation pipelines, model monitoring, retraining strategies, and version control for GenAI. Hands-on knowledge of AI services across major clouds (Azure OpenAI, AWS Bedrock, Google Vertex AI, etc.)