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Urgent! Vice President of Engineering - Artificial Intelligence/Machine Learning Job Opening In Chennai – Now Hiring Qrata Consulting

Vice President of Engineering Artificial Intelligence/Machine Learning



Job description

<p><p><b>Position :</b> Vice President of Engineering<br/><br/><b>Experience :</b> 10+ Years<br/><br/><b>Location :</b> Chennai, Tamil Nadu, India<br/><br/><b>Job Summary :</b><br/><br/>We are seeking an exceptional and visionary Vice President of Engineering to lead our dynamic team in Chennai through a period of significant growth and technological advancement.

</p><p><br/></p><p>The ideal candidate will have over 10 years of experience in engineering roles, with at least 4 years in an engineering leadership position.

</p><p><br/></p><p>This role is crucial for translating business strategy into engineering outcomes and championing a culture of innovation, with a core focus on AI and technological excellence.<br/><br/><b>Key Responsibilities :</b><br/><br/>- Translate the CEO's vision and business strategy into a tangible technology roadmap, focusing on innovation, scalability, and long-term impact.<br/><br/>- Champion a culture of engineering excellence by balancing speed and quality, with clear communication around technical debt and ROI.<br/><br/>- Identify and evaluate opportunities to leverage AI/ML across the product and services spectrum, from workflow automation to content enrichment.<br/><br/>- Partner with the CTO and Product teams to ensure the responsible, scalable, and measurable adoption of AI capabilities.<br/><br/>- Ensure the reliable, timely, and high-quality delivery of all engineering projects.<br/><br/>- Lead the adoption of DevOps, CI/CD, and quality automation best practices to improve release velocity and reduce downtime.<br/><br/>- Implement and track engineering KPIs aligned with business OKRs to measure and report on what matters.<br/><br/>- Build and grow a high-performance, psychologically safe engineering organization.<br/><br/>- Mentor and support the career development of engineering managers, ensuring a healthy succession pipeline.<br/><br/>- Develop scalable systems for hiring, onboarding, promotions, knowledge sharing, and performance management.<br/><br/>- Collaborate with Product, Design, Customer Success, and Business teams to align priorities and dependencies.<br/><br/>- Own and optimize engineering budgets, vendor decisions, and cost-performance ratios across cloud infrastructure and toolsets.<br/><br/>- Regularly report to the leadership team and board on engineering health, strategy progress, and resourcing needs.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/>- 10+ years of experience in engineering, including 4+ years in an engineering leadership position.<br/><br/>- Proven track record of leading cross-functional agile teams and delivering B2B SaaS products.<br/><br/>- A deep understanding of cloud-native architectures, modern development ecosystems, and infrastructure-as-code.<br/><br/>- Demonstrated success in evaluating, implementing, or integrating AI/ML capabilities in a product or service environment.<br/><br/>- Strong grasp of product thinking and the ability to co-own outcomes with Product Management.<br/><br/>- Excellent interpersonal and stakeholder communication skills.<br/><br/>- Demonstrated ability to hire, grow, and retain engineering talent in a scaling organization</p><br/></p> (ref:hirist.tech)


Required Skill Profession

Operations Specialties Managers



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