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Trusted on six continents and impacting 60 million endpoints,     Recast puts people and productivity first.   </p>    <p>     Recast India serves as a cornerstone of the company’s global growth strategy, leveraging the nation’s deep and diverse talent pool to drive innovation.     Based in the tech hub of Bengaluru, this state-of-the-art facility was established to tap into one of the world's most robust markets for engineering excellence.     Local technologists now fill critical gaps in AI, SRE, and cloud infrastructure, utilizing timezone advantages to accelerate product delivery and build organizational resilience.   </p>    <p>     To support this momentum, the team is expanding with high-ownership roles across Full-Stack, DevOps, UI/UX, and software engineering     to strengthen high-impact product groups. 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Title:</strong></p><p><strong>Principal Data / AI Engineer&nbsp;</strong></p><p><strong>Location:</strong> Flexible / Bangalore</p><p><strong>Reports to:</strong> VP Engineering</p><p><strong>About Recast:</strong></p><p>Recast Software empowers organizations to better manage, secure, and support users and devices at scale. Our products integrate deeply with enterprise IT environments to help customers remediate issues, maintain compliance, and operate with confidence. We serve thousands of enterprise customers globally and continue to grow our cloud and platform capabilities. Our mission is to simplify IT operations while enabling secure, compliant, and scalable environments across millions of devices globally.</p><p><strong>About the Role:</strong></p><p>Recast is looking for a Principal Data / AI Engineer to define and drive our data, analytics, and AI architecture across the product portfolio. This role sits at the intersection of engineering, product, security, and cloud infrastructure, and will play a&nbsp;critical role in shaping our database architecture as well as enabling data informed decision making, operational intelligence, and AI driven capabilities across the company.</p><p>This is a hands-on architecture role with high visibility and impact. You will shape Recast’s data platform strategy, guide AI adoption (including GenAI where appropriate), and ensure our solutions scale securely and responsibly for enterprise customers.</p><p><strong>Top 3 accountabilities:</strong></p><ul><li>Define and evolve Recast’s end to end data and AI architecture</li><li>Enable scalable, secure analytics and AI use cases across products</li><li>Act as the technical authority and mentor for data &amp; AI practices within Engineering</li></ul><p><strong>What You’ll Do:</strong></p><ul><li>Own the <strong>data and AI architecture vision</strong> for Recast, spanning ingestion, storage, processing, analytics, and AI/ML workloads</li><li>Design and evolve <strong>cloud native data platforms</strong> (batch, streaming, and near real time) that support product telemetry, customer insights, and internal analytics</li><li>Partner with Product and Engineering leaders to identify and deliver <strong>AI powered use cases</strong>, including automation, intelligence, and decision support</li><li>Establish architectural patterns for <strong>LLMs, ML models, vector search, and AI services</strong>, with a strong focus on security, privacy, and cost control</li><li>Define standards for <strong>data governance, quality, observability, and lifecycle management</strong></li><li>Review and guide technical designs across teams, ensuring scalability, reliability, and compliance</li><li>Mentor engineers and technical leads, raising the bar for data engineering and AI maturity across the organization</li></ul><p><strong>How You’ll Be Measured:</strong></p><ul><li>Architecture adoption: End to end data &amp; AI reference architecture defined and adopted by 80% of new data/AI initiatives within 12 months</li><li>Delivery efficiency: 25–40% reduction in lead time for data or AI features from design to production</li><li>AI value creation: 2–4 production AI/ML use cases per year with clearly measured business or operational impact</li></ul><p><strong>What You’ve Done:</strong></p><ul><li><strong>10+ years</strong> of experience in software, data, or cloud architecture, with <strong>5+ years</strong> focused on data platforms and/or AI/ML systems</li><li>Designed and operated <strong>production data platforms</strong> supporting largescale, distributed systems (cloud Native, multitenant preferred)</li><li>Hands on experience with <strong>AI/ML or GenAI systems</strong> (model integration, pipelines, inference, or MLOps) in real world environments</li></ul><p><strong>What Stands Out:</strong></p><ul><li>Strong architectural judgment — able to balance speed, scalability, cost, and risk</li><li>Comfortable operating at both <strong>strategic and hand ?on levels</strong></li><li>Ability to explain complex data and AI concepts to senior technical and nontechnical stakeholders</li><li>Curiosity and pragmatism when applying AI — focused on real customer and business value</li><li>Experience in enterprise, security sensitive, or compliance driven environments</li></ul><p><strong>What We Value:&nbsp;</strong></p><ul><li><strong>We take initiative.</strong> We have a culture of ownership and progress over perfection. 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