AI ML Tech Lead/Architect

Job Summary We are seeking a highly experienced AI & Data Architect / Technical Lead to lead an enterprise engagement focused on pricing elasticity modeling, customer segmentation, and AI-driven supply chain intelligence. This role will serve as the primary technical and analytics lead for pricing transformation initiatives, driving the design and implementation of advanced pricing models, elasticity engines, segmentation frameworks, and scalable solutions. Primary Responsibilities Pricing Elasticity & Advanced Analytics Design, build, and operationalize price elasticity models across product categories. Develop demand forecasting and price sensitivity models using statistical, econometric, and ML approaches. Implement cross-elasticity analysis across SKUs and customer segments. Build dynamic pricing engines integrated with ERP and business systems. Establish model monitoring, recalibration frameworks, and continuous optimization processes. Translate pricing strategy into production-grade AI-driven systems. Customer Segmentation & Business Process Understanding Design and deploy advanced customer segmentation frameworks. Apply ML techniques such as clustering, classification, and propensity modeling. Demonstrate strong understanding of business processes and operational flows. Speak the language of business stakeholders, similar to ERP functional consultants or business analysts. Align pricing and segmentation outputs with revenue, margin, and supply chain KPIs. Data Architecture & Platform Engineering (Databricks Strongly Preferred) Design modular, maintainable, and upgradeable data pipelines. Implement Lakehouse architecture and enterprise-grade governance standards. Enable ERP, AI systems, analytics platforms, and reporting tools to operate on unified architecture. Ensure scalability, cost optimization, reliability, and security. AI Models, Modern Architecture & Tooling Demonstrate strong understanding of AI/ML models, LLM architectures, and latest AI frameworks. Build and integrate GenAI solutions using OpenAI SDK and modern AI orchestration tools. Develop APIs and microservices using FastAPI and Pydantic for robust schema validation. Architect modular, scalable, and future-ready systems. Maintain architectural vision ensuring maintainability, upgradeability, and modularity. Leverage rapid prototyping tools to quickly develop MVPs for client validation and iteration. Build pricing dashboards and segmentation insights using Google Looker. Design business-facing analytical views aligned with executive reporting needs. Enable data-driven decision-making through interactive dashboards and BI tools. Governance, Compliance & Engineering Standards Ensure adherence to development standards, compliance requirements, and responsible AI practices. Define architecture review, code review, testing, and quality processes. Implement responsible AI practices and lifecycle governance. Maintain documentation, version control, and auditability standards. Technical Leadership, Communication & Mentorship Serve as the on-site Technical Point of Contact. Mentor engineers, analysts, and interns; conduct structured knowledge transfer sessions. Drive execution discipline and engineering excellence. Demonstrate excellent communication skills to collaborate with US-based clients with limited timezone overlap. Communicate complex technical and pricing concepts clearly to technical and non-technical stakeholders. Exhibit strong innovation mindset and proactive problem-solving attitude. Requirements Bachelors or Masters degree in Computer Science, Data Science, Economics, Engineering, or related field. 8+ years of experience in Data Science, AI Engineering, Pricing Analytics, and overall IT experience of 12+ years. Proven experience in pricing analytics, elasticity modeling, and customer segmentation. Strong understanding of AI models, ML pipelines, and enterprise system architecture. Strong business process understanding and ability to translate business goals into technical systems. Advanced proficiency in Python, SQL, and ML frameworks. Experience with Pydantic, FastAPI, and API-based architectures. Experience building dashboards using Google Looker or equivalent BI tools. Strong communication and client-facing experience. Strongly Preferred Qualifications Databricks and Lakehouse architecture experience. Experience in Time & Material enterprise engagements. Job Summary We are seeking a highly experienced AI & Data Architect / Technical Lead to lead an enterprise engagement focused on pricing elasticity modeling, customer segmentation, and AI-driven supply chain intelligence. This role will serve as the primary technical and analytics lead for pricing transformation initiatives, driving the design and implementation of advanced pricing models, elasticity engines, segmentation frameworks, and scalable solutions. Primary Responsibilities Pricing Elasticity & Advanced Analytics Design, build, and operational