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Senior Engineering Manager – AI CoE

redwoodsoftware · Hyderabad, Telangana, India · India
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<p><strong><span data-contrast="none"><span data-ccp-parastyle="Title">Senior Engineering Manager</span><span data-ccp-parastyle="Title"> – AI </span><span data-ccp-parastyle="Title">CoE</span></span></strong><span data-ccp-props="{"201341983":0,"335559739":280,"335559740":240}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">About Redwood</span></span></strong><span data-ccp-props="{"134245418":true,"134245529":true,"201341983":0,"335559738":160,"335559739":80,"335559740":257}"> </span></p> <p><span data-contrast="none">Redwood Software helps the world's largest enterprises automate mission-critical business processes. Our platforms support complex enterprise workloads across ERP systems, business applications, cloud infrastructure, and on-premises environments.</span><span data-ccp-props="{"201341983":0,"335559739":80,"335559740":257}"> </span></p> <p><span data-contrast="none">Redwood is building reusable AI infrastructure, agentic capabilities, developer tools, and platform services that enable enterprise-ready AI features across its product portfolio.</span><span data-ccp-props="{"201341983":0,"335559739":80,"335559740":257}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">Role Mission</span></span></strong><span data-ccp-props="{"134245418":true,"134245529":true,"201341983":0,"335559738":160,"335559739":80,"335559740":257}"> </span></p> <p><span data-contrast="none">As a Senior Engineering Manager, you will lead the engineering team responsible for delivering Redwood's shared AI platform and agentic capabilities.</span><span data-ccp-props="{"201341983":0,"335559739":80,"335559740":257}"> </span></p> <p><span data-contrast="none">You will translate the AI strategy into an executable engineering roadmap, build a high-performing team, and ensure the delivery of secure, scalable, observable, and commercially valuable AI systems. The role requires sufficient technical depth to guide architecture and challenge engineering decisions while remaining accountable for people's leadership, execution, team health, and delivery outcomes.</span> <br><span data-ccp-props="{"201341983":0,"335559739":80,"335559740":257}"> </span></p> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">Key Responsibilities</span></span></strong> <br><span data-ccp-props="{"134245418":true,"134245529":true,"201341983":0,"335559738":160,"335559739":80,"335559740":257}"> </span></p> <ul> <li><span data-contrast="none"> Lead one or more engineering teams responsible for AI platform services, agentic capabilities, developer tools, and product integrations.</span></li> <li><span data-contrast="none"> Translate business and product priorities into a clear engineering roadmap, delivery plan, and team-level objectives.</span></li> <li><span data-contrast="none"> Recruit, onboard, manage, and retain engineers with the skills required to build production-grade AI and agentic systems.</span></li> <li><span data-contrast="none"> Establish clear ownership, performance expectations, decision-making responsibilities, and development plans across the team.</span></li> <li><span data-contrast="none"> Drive predictable execution through effective planning, dependency management, risk identification, and operational readiness.</span></li> <li><span data-contrast="none"> Partner with senior individual contributors to guide architecture and technical direction without becoming a bottleneck for engineering decisions.</span></li> <li><span data-contrast="none"> Ensure consistent engineering practices across AI evaluation, observability, model governance, security, reliability, performance, and cost management.</span></li> <li><span data-contrast="none"> Collaborate with Product, Architecture, Security, Data, Legal, and product engineering teams to deliver enterprise-ready AI capabilities.</span></li> <li><span data-contrast="none"> Balance shared platform investments with customer-facing requirements and immediate product priorities.</span></li> <li><span data-contrast="none"> Monitor delivery, quality, platform adoption, incidents, operational performance, and engineering effectiveness.</span></li> <li><span data-contrast="none"> Establish an engineering culture focused on ownership, accountability, continuous improvement, collaboration, and customer outcomes.</span></li> <li><span data-contrast="none"> Conduct regular one-on-one meetings, performance discussions, and career development planning.</span></li> <li><span data-contrast="none"> Communicate engineering progress, risks, dependencies, and investment requirements to senior stakeholders.</span></li> <li><span data-contrast="none"> Maintain sufficient technical involvement to understand architectural risks, challenge decisions, and support critical engineering outcomes.</span><br><span data-ccp-props="{"201341983":0,"335559685":360,"335559739":40,"335559740":257,"335559991":259}"> </span></li> </ul> <p><strong><span data-contrast="none"><span data-ccp-parastyle="heading 1">Scope and Expected Impact</span></span></stron

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