Senior Manager , AI Engineering - Business Technology

10 - 15 years

20 - 25 Lacs

Posted:3 days ago| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Join our team! Were building a world where Identity belongs to you.
About the Team
Oktas Business Technology organization powers the internal systems that drive how we operate, scale, and innovate. At the heart of this transformation is the Business Technology Shared Services team " building secure, enterprise-grade capabilities that embed GenAI and automation into the fabric of our business. From virtual agents and document intelligence to smart workflow platforms and AI-enabled service delivery, were creating foundational systems that support the next generation of productivity, self-service, and secure operations across Okta.The Opportunity
As the Senior Manager of AI Engineering, you will lead an engineering team of Full Stack and AI/ML Engineers focused on building and operationalizing Applied AI and Agentic platforms that serve internal users across Okta. You'll be responsible for the delivery of complex, cross-functional projects and will work closely with engineering and product leadership to implement the long-term technical direction. You will play a key role in shaping how AI and automation are responsibly adopted across the enterprise.This is a leadership role for a technical manager who can coach and mentor a team , manage project delivery, and ensure the execution of secure, intelligent platforms with broad business impact.
What Youll Do:
  • Manage and lead a high-performing engineering team responsible for delivering AI/automation platforms, services, and internal tools
  • Partner with product, architecture, data science, and security leaders to translate vision and direction into actionable plans for the scalable, responsible adoption of GenAI technologies.
  • Oversee end-to-end delivery of cross-functional projects , including intelligent agents, AI-assisted workflows, and self-service automation frameworks.
  • Help implement and contribute to the evolution of Oktas internal GenAI platform strategy, including governance, experimentation frameworks, architecture patterns, and infrastructure.
  • Uphold and champion engineering excellence standards across architecture, code quality, testing, CI/CD, observability, and platform reliability.
  • Collaborate with stakeholders across Business Technology and the enterprise (IT, HR, Finance, Customer Support, etc.) to ensure technical execution aligns with business outcomes.
  • Coach and mentor team members , fostering an inclusive, collaborative, and purpose-driven team culture.
  • Help develop and enforce technical standards for responsible AI use, security, and privacy within internal AI systems.

  • What Youll Bring
  • 10+ years of software engineering experience with at least 3+ years of engineering leadership (including people management).
  • Proven success leading high-impact teams and projects involving platform development, distributed systems, and cloud-native services.
  • Hands-on experience with AI/ML or GenAI technologies, including integration of LLMs, NLP systems, orchestration frameworks, and vector-based search.
  • Strong foundation in system architecture, secure development practices, and enterprise platform engineering.
  • Ability to influence stakeholders and drive alignment across engineering, product, data, and security organizations.
  • Track record of building and scaling teams and developing engineering talent.
  • Excellent written and verbal communication, with comfort navigating technical and non-technical conversations.
  • A strategic mindset, customer orientation, and a bias for impact and innovation.

  • Why Join Okta:
  • Implement the AI Platform Vision: Play a defining role in how GenAI and automation shape the future of work at Okta.
  • Lead with Impact: Build platforms used by thousands of employees and trusted across critical business functions.
  • Grow a Great Team: Mentor a passionate, mission-driven team committed to excellence, learning, and purpose.

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