The AI Adoption Manager leads end-to-end AI education and adoption programs for enterprise clients, ensuring teams achieve self-sufficiency and measurable business impact. This role acts as the primary client interface, managing relationships, tracking adoption metrics, and aligning all activities with data governance and compliance guardrails.
You will lead the offensive security strategy by challenging and hardening AI-driven exploitation pipelines and designing robust anomaly-detection layers. The role involves consultative work to optimize security workflows, benchmark LLM performance, and present technical roadmaps to CISO-level stakeholders.
Design and build a mahjong-playing algorithm using RL, imitation learning, or search-based models with an LLM reasoning layer. Lead the technical architecture, manage the inference pipeline to meet latency budgets, and collaborate with the client's engineering team.
Own the technical architecture and end-to-end delivery of a real-time voice copilot from proof-of-concept to production. Lead the engineering pod, manage stakeholder expectations, and ensure system performance regarding latency, accuracy, and cost.
The COO will own the operational, financial, and executional backbone of the company to enable the CEO to focus on vision and growth. Responsibilities include managing the executive team, overseeing financial performance, and scaling the company's operating system.
You will facilitate executive distillation sessions to translate strategic goals and operational processes into actionable AI context packs. Additionally, you will interpret process-mining data to design optimization reports and build prototypes for AI agent skills.
You will build unstructured data pipelines to ingest, parse, and resolve entities from various sources like email, Slack, and documents. Additionally, you will implement vector and graph storage, PII redaction, and incremental sync processes to support AI agents.
Lead the creation and commercialization of packaged BFSI solutions focusing on GenAI, ML, and Cloud technologies. Drive pre-sales motions, establish strategic alliances with hyperscalers, and develop thought leadership to accelerate deal conversion.
The role focuses on generating a predictable revenue pipeline and achieving quarterly sales targets within the Financial Services industry. Responsibilities include owning the full sales cycle, executing multi-channel C-suite outreach, and coordinating AI solution scoping with engineering teams.
Drive AI adoption across multiple engineering organizations by translating CTO visions into team-level disciplines and reusable practices. Manage the diffusion loop to detect, package, and transfer successful AI workflows between companies while maintaining operational rhythms and reporting.
Identify and validate high-value AI opportunities by developing business cases and redesigning business processes for financial environments. Lead the implementation of AI solutions from prototyping to production while ensuring regulatory compliance and measurable ROI.
