4+ years as a software engineer, data engineer, or AI/ML practitioner writing technical design documents, data pipeline documentation, or API specifications
Work within established AI-native engineering workflows, collaborating with AI agents across implementation, testing, debugging, and documentation while validating every output.
Practical exposure to AI, Generative AI, AI agents, intelligent automation or digital transformation initiatives. Experience with Microsoft Copilot Studio, Power Platform, Power Automate or comparable AI and automation platforms is an advantage.
Bachelor's degree or higher in Computer Science, Computer Engineering, or a related science/technical field, OR equivalent training, certifications, and/or experience.
Ensure that sourcing strategies take into consideration the balance between specific project needs, the current GSA strategies, related commercial strategies and prevailing business conditions.
Bachelor's degree or higher in Computer Science, Computer Engineering, or a related science/technical field, OR equivalent training, certifications, and/or experience.
Architecture for data at the scale of hundreds of billions: Conducting in-depth research and innovation in all aspects, from large-scale offline computing and performance and scheduling optimization of distributed systems to building high-availability, high-throughput, and low-latency online services.
Deliver on strategic road mapping and global business plan implementation across client & agency relationships at all levels. Focus includes revenue acceleration, driving product solution adoption and best practices, and managing co-investment bonus for the partnership.