Senior AI

3 weeks ago

Kolkata metropolitan area, India NexaQuanta Full time

About NexaQuanta: NexaQuanta is a global AI solution provider delivering responsible, secure, and enterprise-grade AI transformation. We specialise in Generative AI, Agentic AI, Machine Learning, AI Risk/Security, Data Engineering, Data Lakes/Lakehouse, cloud data platforms, and Intelligent Automation. Our delivery culture is rooted in ISO 27001 and NexaQuanta’s Responsible AI SDLC. Role Overview: The Senior AI & Data Project Manager leads the delivery of complex, multi-phase AI transformation projects supported by strong data engineering foundations. Candidates must have experience delivering BOTH AI and Data Engineering projects and must excel in stakeholder management. Key Responsibilities: AI & Data Project Delivery Management: Lead delivery of AI projects, including GenAI, RAG, NLP/Computer Vision models, and MLOps pipelines and AI Governance solutions. Oversee solution design, feasibility studies, PoCs, pilots, and production rollouts. Ensure compliance with Responsible AI SDLC, model governance, and security controls. Manage data lake/lakehouse implementations, data warehouses, and ETL/ELT pipelines. Oversee data quality, data cataloguing, lineage, and governance. Ensure robust data foundations for AI workloads. Client & Stakeholder Management: Act as primary client-facing lead for enterprise stakeholders. Deliver clear communication, updates, roadmaps, and expectation management. Conduct discovery workshops and translate business needs into delivery plans. Governance, RAID & Compliance: Maintain RAID logs, RACI, steering decks, and governance documentation. Ensure compliance with ISO 27001, GDPR, PDPA Pakistan, DPDP India. Maintain safe, explainable, and compliant AI delivery standards. Team Leadership: Lead AI Engineers, Data Engineers, ML Engineers, BAs, QA and cross-functional teams. Drive sprint quality, documentation excellence, and engineering discipline. Required Experience & Skills: 7–12+ years of experience delivering AI (GenAI, RAG, ML models, MLOps) and Data Engineering (Lakes, Lakehouse, ETL/ELT) projects. Outstanding stakeholder management. Strong understanding of AI/ML, and Data Engineering concepts and cloud platforms (Azure/AWS/GCP). Consulting experience with enterprise clients. Industry experience in Banking, Insurance, and ISVs. Certifications such as PMP, PRINCE2, Scrum Master, Azure/AWS/GCP. What We Offer: Competitive salary. Opportunity to lead enterprise-level AI and Data transformation projects. Exposure to advanced GenAI and Agentic AI work. Collaborative culture rooted in Responsible AI. 

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