Engineering Leader

EXL

Engineering Leader required to build and lead AI solutions in Voice AI and Fraud Detection for EXLerate.ai platform. This role blends technical architecture expertise with team leadership and client engagement.

Posted 7/2/2026full-time🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaPythonReact

About the role

Key responsibilities & impact

Design, develop, test and document state-of-the-art cloud solutions leveraging services available in AWS, Azure and GCP, as well as required third-party capabilities, for our Voice AI and Fraud Detection products.
Build and lead teams of engineers – hiring, structuring and growing the multi-disciplinary pods that deliver our Voice AI and Fraud Detection solutions on EXLerate.ai.
Ensure all development follows EXL Digital's engineering best practices, including security, quality, CI/CD and observability.
Contribute to the digital AI solution strategy for the target industry segments, with a focus on Voice AI and Fraud Detection use cases.
Support presales and delivery efforts of our AI solutions, with a focus on IT engineering and security efforts.
Foster deep relationships with technical stakeholders at our top clients by demonstrating insight and thought leadership on the application of digital and agentic AI in their context to help them meet their business goals.
Work with teams across the business to generate innovative AI solution opportunities, and drive innovation across digital engineering around agentic AI, Voice AI and fraud analytics.

Requirements

What you’ll need

Bachelor's/Master's in Engineering 8+ years
12+ years of proven track record in architecting and engineering AI solutions.
At least 8 years of experience programming with Python, React, Java or other programming languages.
Solution architecture experience (features, functionalities, upstream & downstream impact on the AI workflow).
Technical architecture experience (data flow, technologies, how they interact and integrate, technology selection, scalability, security).
Strong expertise in AWS or Azure.
Should have led 15+ person teams of multi-disciplinary skills, including solution architects, data scientists, technical architects and developers.
Demonstrated experience working with both senior business and technology stakeholders.
Familiarity with building large-scale AI products or platforms for NLP, speech, computer vision or recommendation systems serving millions of users.

Benefits

Comp & perks

Competitive salary

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI Solutions EngineeringSolution ArchitectureTechnical ArchitectureProgramming LanguagesCloud Solutions DevelopmentData Flow ManagementScalability DesignSecurity Best PracticesCI/CD ImplementationObservability Techniques

Soft Skills

Thought LeadershipStakeholder EngagementTeam BuildingCollaborationInnovation Driving