Delivery Lead

Company DescriptionRapyder is a fast-moving AWS Premier Partner offering full-stack migration, modernization, GenAI, Managed Services, Snowflake, and Crowdstrike Solutions. With deep vertical expertise, Rapyder helps startup-to-large enterprises to move faster with less friction. We are trusted by several businesses for delivering innovative cloud solutions and ensuring seamless operations.Role Title:Delivery Practice Lead – AI/ML Innovation & Application DevelopmentImmediate Joiner OnlyRole DescriptionThis is a full-time on-site role based in Bengaluru for a Delivery Practice Lead – AI/ML Innovation & Application Development. The Delivery Practice Lead will be responsible for leading the AI/ML practice, developing and implementing cutting-edge AI/ML solutions, managing AI/ML projects, and ensuring timely delivery. The individual will also play a crucial role in client engagements, team management, and collaborating with cross-functional teams to drive innovation.Reporting To: Chief Delivery Officer (CDO)Location: BengaluruKey ResponsibilitiesDelivery Leadership & Execution Excellence• Own end-to-end delivery of AI/ML and AppDev engagements (Discovery → Build → Deploy → Optimize).• Govern delivery outcomes using metrics-driven frameworks — quality, velocity, cost optimization, and customer satisfaction.• Establish delivery blueprints and reusable templates for AI projects (e.g., MLOps pipelines, data prep, model lifecycle management).• Ensure every solution aligns with enterprise-grade standards for scalability, security, and compliance.• Champion DevSecOps, CI/CD, and observability practices across AI & app development projects.⸻Practice Development & Innovation• Build, scale, and mentor a cross-functional team of data scientists, ML engineers, and application developers.• Establish an AI Innovation Lab / Tech Studio to incubate accelerators, reusable frameworks, and proof-of-concepts (POCs).• Drive creation of IP-led offerings — e.g., agentic AI assistants, predictive maintenance models, generative AI workflows, and intelligent apps.• Partner with cloud providers (AWS, Azure, GCP) and ISVs to integrate cutting-edge tools and reference architectures.• Track technology trends (LLMs, multimodal AI, vector DBs, RAG architectures) and translate them into client-ready solutions.⸻Business Growth & Customer Engagement• Support sales & pre-sales by providing technical leadership during solutioning, scoping, and proposal defense.• Collaborate with client CXOs and product leaders to shape AI-driven transformation roadmaps.• Identify upselling and cross-selling opportunities within existing delivery accounts — e.g., AI Ops, data modernization, or workflow automation.• Act as the executive sponsor for key projects ensuring strong stakeholder alignment and proactive risk management.• Represent the practice in client presentations, analyst briefings, and thought leadership forums.⸻Operational & Financial Governance• Define and manage practice-level P&L, utilization targets, and margin optimization.• Build and track delivery dashboards covering SLA adherence, project profitability, and team productivity.• Enforce standard operating procedures (SOPs) for estimation, risk, and change management across AI & app development projects.• Collaborate with the PMO and CDO to ensure continuous process improvement and delivery automation.⸻Talent Leadership & Capability Building• Lead a growing team (50–100+) of AI engineers, data scientists, app developers, and delivery managers.• Define career pathways, skill matrices, and competency frameworks for AI & innovation tracks.• Partner with HR & L&D to launch continuous learning programs — GenAI certifications, MLOps mastery, cloud-native development.• Foster a culture of innovation, experimentation, and measurable outcomes.