Senior Director, AI Software Engineering
Experian
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This role on the market
7,265 open engineering roles across 744 companies are on ApplySarthi right now, most of them in Bengaluru (369), Hyderabad (133), Mumbai (54).
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What engineering roles keep asking for: Python (22%), AWS (21%), Observability (14%), System design (13%), CI/CD (12%) — counted across their open postings here.
AWS jobs · Java jobs · Microservices jobs · React jobs
Experian has 397 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for engineering roles keep coming back to Python, AWS, Observability, System design. Practise those questions before you sit with Experian.
Questions you are likely to be asked
- Why do you want to join Experian?
- What is your experience with Java? Tell me one thing you learned the hard way.
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
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Practise the Senior Director, AI Software Engineering at Experian interview free →You will lead the integration of artificial intelligence into our software platforms, which serve both business clients and their end customers. You'll manage engineering teams across three countries, setting the standard for how we build, deliver, and support software. You'll balance strong security and compliance for business clients with smooth, intelligent experiences for consumers, while helping global teams work faster using modern AI-assisted development tools. At Experian, we believe great work happens when people come together. We're focused on attracting talent in and around our designated hub locations who are open to collaborating with colleagues in person. Aligning employees to these talent markets helps foster collaboration, strengthen team connections, and support long-term career growth within Experian. You will report to the VP, Partner Solutions Engineering, and reside in or near one of our collaboration hubs: Costa Mesa, CA; San Jose, CA; Allen, TX; Austin, TX; Franklin, TN; New York, NY; Schaumberg, IL; Washington, D.C.; Atlanta, GA; Boston, MA; Seattle, WA You will have opportunity to: Lead a global strategy to embed AI across our engineering organization, setting consistent standards for delivery speed and quality Manage and mentor engineering leaders across three countries, building a collaborative, experimentation-driven culture Modernize our software development lifecycle by introducing AI coding tools that automate code generation, testing, and localization Drive company-wide adoption, security compliance, and training for AI development platforms like GitHub, Claude, Copilot, Cursor AI, and Amazon Kiro Shift engineering teams toward intent-driven development workflows, including spec-driven AI-DLC frameworks and Model Context Protocol (MCP) integrations Integrate AI capabilities directly into our core platforms, including React frontends, .NET and Java microservices, Salesforce, and MuleSoft Partner with global teams to balance fast feature delivery with enterprise-grade security and compliance requirements 12+ years of experience in software application development 5+ years leading multi-layered engineering organizations (managing managers), including distributed, international teams Hands-on technical management experience with AWS, .NET, Java, React, Salesforce, and MuleSoft environments Experience in B2B2C, B2B, or high-scale B2C SaaS environments, including managing architecture complexity, tenant isolation, and data privacy requirements Direct experience deploying and scaling AI development tools (e.g., GitHub, Claude, Copilot, Cursor AI, and Kiro) across an engineering organization Experience building products using an AI-DLC process including application level integrations, using agentic AI tools such as Amazon Kiro Track record leading major technical or cultural transformations (e.g., DevOps, cloud migration, AI tool rollouts) across large, distributed engineering teams Reside in, or near the designated Collaboration Hub(s) for this role. Our uniqueness is that we celebrate yours. Experian's people first, inclusive and purpose driven culture is multi award-winning; World's Best Workplaces™ 2025 (Fortune Global Top 25), Great Place To Work™ in 26 countries to name a few. Check out Experian Life on social or explore our Careers Site to understand why. Our compensation reflects the cost of labor across several U.S. geographic markets. The base pay range for this position is listed above. Within this range, individual pay is determined by work location and additional factors such as job-related skills, experience, and education. You will be also eligible for a variable pay opportunity. Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal, state and local law, including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Great compensation package and bonus plan Core benefits including medical, dental, vision, and matching 401K Flexible work environment, ability to work remote, hybrid or in-office Flexible time off including volunteer time off, vacation, sick and 12-paid holidays Explore all our exciting benefits here: https://myexperianbenefits.com/ Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @ experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers #LI-Hybrid
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Listed on smartrecruiters · posted 2026-10-29. ApplySarthi collects openings and links to application pages; the role is advertised by Experian, not by us.