As a Forward Deployed AI Engineering Manager on our Enterprise team, you'll be the technical bridge between Scale AI's cutting-edge AI capabilities and our most strategic customers.
\nYou'll work with enterprise clients to understand their unique challenges, lead a team that architects specific AI solutions, and ensure successful deployment and adoption of AI systems in production environments.
\nThis is a Management role that combines deep engineering and AI expertise, leading a team, and working on customer-facing problems. You'll work directly with customer engineering teams to integrate AI into their critical workflows.
\nCustomer Integration & Deployment
\nPartner directly with enterprise customers to understand their technical infrastructure, data pipelines, and business requirements.
\nDesign and implement custom integrations between Scale AI's platform and customer data environments (cloud platforms, data warehouses, internal APIs).
\nBuild robust data connectors and ETL pipelines to ingest, process, and prepare customer data for AI workflows.
\nDeploy and configure AI models and agents within customer security and compliance boundaries.
\nAI Agent Development
\nDevelop production-grade AI agents tailored to customer use cases across domains like customer support, data analysis, content generation, and workflow automation.
\nArchitect multi-agent systems that orchestrate between different models, tools, and data sources.
\nImplement evaluation frameworks to measure agent performance and iterate toward business objectives.
\nDesign human-in-the-loop workflows and feedback mechanisms for continuous agent improvement.
\nPrompt Engineering & Optimization
\nCreate sophisticated prompt engineering strategies optimized for customer-specific domains and data.
\nBuild and maintain prompt libraries, templates, and best practices for customer use cases.
\nConduct systematic prompt experimentation and A/B testing to improve model outputs.
\nImplement RAG (Retrieval Augmented Generation) systems and fine-tuning pipelines where appropriate.
\nLeadership & Collaboration
\nServe as the Engineering Manager and technical point of contact for strategic enterprise accounts.
\nLead a team that is collaborating with customer data scientists, ML engineers, and software developers to ensure smooth integration.
\nWork closely with Scale's product and engineering teams to translate customer needs into product improvements.
\nDocument technical architectures, integration patterns, and best practices.
\nProblem Solving & Innovation
\nDebug complex technical issues across the entire stack, from data pipelines to model outputs.
\nRapidly prototype solutions to unblock customers and prove out new use cases.
\nStay current on the latest AI/ML research and tools, bringing innovative approaches to customer problems.
\nIdentify opportunities for productization based on common customer patterns.
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\nThe company's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a real-time, 3D command and control centre.
\nAs the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion and networking technology to the military in months, not years.
\nWe are seeking a mission-driven Cloud Infrastructure Engineer to take a leading role in designing and implementing world-class defensive controls. This is a high-impact role with the autonomy to shape security architecture and protect the technology that is changing the future of defence.
\nKey Responsibilities:
\nRequirements:
\nPreferred Qualifications:
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\nThis role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will work closely with AI Engineers, Data Scientists, Platform Engineers, Security, and Product partners to deliver resilient, cloud native AI platforms in a highly regulated environment.
\nKey Responsibilities
\nQualifications
\nOur Benefits
\nTo help you stay energized, engaged, and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about.
\nOur Hybrid Work Model
\nBlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.
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