Senior Engineering Manager – AI CoE
Redwood Software (company site, opens in a new tab)15+ yrsHyderabadOn-siteDirect career pageEst. 40–70 LPA
Posted 12h ago
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Reach people at Redwood Software
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Redwood Software you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Lead engineering teams delivering Redwood's shared AI platform, agentic capabilities, and developer tools with accountability for team health and project outcomes.
- Translate AI strategy and business priorities into engineering roadmaps with measurable plans, ensuring secure, scalable, and operationally reliable AI systems.
- Oversee delivery predictability, architecture guidance, resource planning, and cross-team alignment involving Product, Architecture, Security, and other stakeholders.
Minimum Requirements
- Minimum 15+ years in software engineering with at least 4+ years in engineering people-management or team leadership roles.
- Experience leading engineering teams responsible for complex software products or platform services, preferably in enterprise SaaS, cloud, distributed systems, ML, or AI domains.
- Strong knowledge of generative AI, agentic architectures, LLM-based applications, orchestration, and production deployment.
- Experience managing technical roadmaps, delivery risks, incidents, quality, operational metrics, and guiding architecture decisions.
Ideal Candidate Profile
- Experienced leader capable of scaling AI platform or agentic engineering teams with a balance of technical depth and people leadership.
- Strategic thinker able to convert broad AI initiatives into clear, measurable engineering objectives while driving multi-team collaboration.
- Comfortable operating autonomously in ambiguous, high-scale product environments with distributed, cross-functional teams.