3 days ago
Bengaluru, IndiaStaff+
Responsibilities
- Architect and lead major enterprise AI deployments that scale securely and meet partner compliance requirements.
- Build reliable integrations between Meta’s AI platforms and client CRMs, data warehouses, custom APIs, and infrastructure.
- Translate field deployment challenges into technical proposals and roadmap decisions for Meta’s AI products and platforms.
- Define deployment patterns, build tooling, and establish engineering standards that reduce technical debt and accelerate execution.
- Set technical direction, lead cross-functional initiatives, mentor engineers, and guide new team members.
- Identify and resolve performance, latency, scalability, and reliability bottlenecks in live production environments.
Requirements
- Bachelor’s degree in Computer Science, Computer Engineering, or a relevant technical field, or equivalent practical experience.
- Experience using data and analysis to explain technical problems and provide detailed feedback and solutions.
- Demonstrated experience driving organizational change and leading complex technical projects.
- 8+ years of relevant programming experience or 4+ years of experience with a PhD.
- Preferred experience architecting and deploying large-scale software systems and taking complex AI applications from prototypes to enterprise production.
- Preferred experience scaling GenAI infrastructure across AWS, GCP, compute services, distributed storage, and ML frameworks.
- Preferred experience designing advanced AI testing and automated evaluation systems for hallucinations, reasoning gaps, and safety issues.
- Preferred experience with regulated industries, enterprise compliance, SOC2, data residency, and privacy frameworks.
- Preferred experience leading technical engagements with external engineering teams and translating business constraints into system designs.
- Preferred experience integrating AI tools to optimize workflows and drive measurable impact.
- Preferred experience implementing responsible and ethical AI practices, including risk assessment, bias mitigation, and quality reviews.
- Demonstrated ongoing AI skill development, including prompt/context engineering and agent orchestration.
Tech Stack
Categories
Forward Deployed
About Meta
Meta builds social platforms and communication apps—including Facebook, Instagram, WhatsApp, and Messenger—and develops AR/VR hardware and software such as Quest to power immersive computing. It monetizes primarily through advertising tools for businesses, with additional revenue from devices and services, and operates a massive global infrastructure. Founded in 2004 and headquartered in Menlo Park, California, Meta Platforms, Inc. is a public company traded on Nasdaq under the ticker META.