Senior AI

3 weeks ago

Kolkata, 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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