Key Responsibilities
Build, structure, and lead engineering teams across software, Agentic AI, and analytics, from hiring through development and retention
Set technical direction and enforce high standards for architecture, code quality, and delivery
Own performance management, mentorship, and career growth for engineers and team leads
Establish processes, cadences, and accountability frameworks that scale as teams grow
Translate business strategy into clear technical roadmaps and execution plans
Drive cross-functional alignment across engineering, analytics, and business teams
Communicate with clarity to stakeholders at every level, from engineers to executives and clients
Lead negotiations on scope, timelines, and resourcing with a calm, solutions-first approach
Steer teams through shifting priorities and change while protecting morale and delivery quality
What We Look For
Leadership and Management
8 to 12 years of experience in software engineering or a related technical field, including a strong track record of leading engineers or technical teams
Excellent written and verbal communication, with the ability to influence and align stakeholders at every level
Strong negotiation and stakeholder management skills, especially in cross-functional or client-facing settings
Proven ability to manage ambiguity, competing priorities, and change without losing momentum
High adaptability and energy; comfortable operating in a fast-paced, evolving environment
Experience building or scaling engineering teams and management structures
Technical
Strong hands-on engineering background, with the depth to review architecture, guide design decisions, and hold credibility with senior engineers
Working knowledge of the AI/ML lifecycle: problem framing, data readiness, model development, evaluation, deployment, and monitoring
Familiarity with the modern AI stack, such as Python, cloud platforms (AWS/Azure/GCP), LLM and AgenticAI tooling, and MLOps practices (good to have)
Understanding of data engineering and analytics fundamentals: pipelines, warehousing, and BI/visualization tools (good to have)
Preferred
Prior experience in a consulting or client-services environment is a strong plus
Pay: From ₹4,000,000.00 per year
Work Location: In person
