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The manager will build and manage a new fund focused on investments resilient to AI disruption, political instability, and structural economic shifts, owning the investment thesis and portfolio strategy with a 20-year horizon. This role includes leading capital raising efforts from day one, sourcing, cultivating, and closing Limited Partner (LP) relationships, and executing investments across asset classes.
The manager will build and run an AI Resilience Fund from the ground up, shaping portfolio strategy, leading fundraising efforts, and executing investments across asset classes with a 20-year horizon. This role involves advising fund investors on positioning for an AI-transformed economy and continuously refining the investment thesis.
The manager will build and manage a new fund focused on investments resilient to AI disruption, political instability, and structural economic shifts, owning the investment thesis and portfolio strategy with a 20-year horizon. This founding role requires leading capital raising from day one, sourcing, cultivating, and closing Limited Partner (LP) relationships, and executing investments across asset classes.
The manager will build and operate a new fund focused on investments resilient to AI disruption, political instability, and economic shifts, owning the investment thesis and portfolio strategy with a 20-year horizon. This foundational role includes leading capital raising efforts from day one and executing investments across various asset classes.
The manager will build and manage a fund focused on investments resilient to AI disruption, political instability, and structural economic shifts, owning the investment thesis and leading capital raising from day one. This role involves sourcing, evaluating, and executing investments across asset classes with a 20-year horizon and advising fund investors.
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The manager will build and run a new fund from the ground up, focusing on investments resilient to AI disruption, political instability, and structural economic shifts over a 20-year horizon. This includes leading capital raising efforts, developing the investment thesis, and executing investments across various asset classes.
The AI Adoption Specialist guides organizations through integrating AI technologies by assessing readiness, developing tailored implementation strategies, and launching initial pilots. They oversee full deployment, provide necessary training, and continuously monitor and optimize AI models and processes for maximum performance.
This role leads the development and implementation of AI-driven automation systems, focusing on operationalizing AI by designing scalable workflows and overseeing development pods. The Director will translate strategic objectives into practical AI automation initiatives for internal operations and client-facing solutions.
The engineer will act as the subject matter expert, modeling customer facilities for AI ingestion using Phaidra's platform and collaborating with Data Scientists to define product requirements based on customer needs. They will also work to ensure automated tools enable scaling the solution across thousands of customers.
The main task involves designing and building applications using Python, which includes supporting component design, development, maintenance, and taking responsibility for technical quality standards. Responsibilities may also cover defining structured practices, designing data storage solutions, optimizing performance, and collaborating with clients to translate requirements into digital products.
The role involves owning research projects from planning and proposal through execution and analysis to generate knowledge and create new technologies. Responsibilities also include proactively completing research steps independently and communicating findings clearly to both technical and non-technical audiences.
This role involves translating customer needs and the evolving Adversarial AI threat landscape into actionable product capabilities and detection techniques for the AISec Platform. The manager will guide cross-functional teams, manage the product backlog, define requirements, and maintain vigilance over the Adversarial AI threat landscape, including MITRE ATLAS.
Contractors will engage AI models on complex educational scenarios, validating pedagogical concepts and evaluating AI outputs for clarity and correctness. This involves analyzing reasoning errors, documenting logic gaps, and providing structured, rewritten explanations to improve how the model reasons and teaches.
Contractors will challenge AI models using realistic financial scenarios involving regulatory compliance, illegal actions, and complex conversational testing to evaluate system guardrails. Responsibilities include validating regulatory understanding, scoring factual accuracy against ground truth, analyzing safety bypasses, and documenting potential regulatory loopholes.
This Vice President role is responsible for expanding the Data and AI Practice, encompassing P&L management, business development, client relationship management, and overall thought leadership within the healthcare consulting firm. Key duties include leading business development to secure over $10M annually, managing delivery quality, driving the Go-to-Market approach for new solutions, and contributing strategically to the firm's future direction.
The role involves designing and implementing complex agent orchestration logic using LangGraph, defining state management, and building/optimizing the tool layer for LLM interaction with internal APIs. Responsibilities also include reducing latency via asynchronous processing and streaming, implementing semantic caching, and optimizing token usage.
This role focuses on optimizing the CEO’s time, priorities, and confidential initiatives by acting as a trusted partner, gatekeeper, and confidant, operating at both strategic and tactical levels. The assistant will also serve as an AI stakeholder/sponsor on behalf of the CEO, utilizing advanced AI tools daily.
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The manager will lead teams responsible for building, operating, and evolving the enterprise Data & AI platform, which underpins analytics, data products, machine learning, and agent-based experiences across the company. This involves owning core platform capabilities like ingestion, lakehouse architecture, and AI/ML enablement layers while ensuring operational excellence and alignment with strategic goals.
The Staff AI Engineer will be responsible for architecting, building, and operationalizing production-grade multi-agent systems at scale to power advisor copilots and investment intelligence workflows. Key tasks involve designing and implementing these systems using modern agent frameworks, developing distributed services with strong observability, and establishing evaluation frameworks for accuracy and reliability.
The manager will build and run a new fund focused on investments resilient to AI disruption, political instability, and structural economic shifts, owning the investment thesis and portfolio strategy with a 20-year horizon. This role is foundational, requiring leadership in capital raising from day one, sourcing, evaluating, and executing investments across asset classes.
This role is responsible for supporting and managing AI-enabled production workflows across all agency accounts, ensuring creative assets meet quality and speed expectations. Key duties include maintaining file standards, enforcing production processes within Figma, and overseeing template and tool chain management.
The role involves contributing to AI model training by curating code examples, providing precise solutions, and offering meticulous corrections in specialized programming languages. Responsibilities also include evaluating and refining AI-generated code to ensure adherence to industry standards for efficiency, scalability, and reliability.
The engineer will design, develop, and maintain scalable, high-performance backend systems for an automated order-taking platform, collaborating closely with the team to integrate ML models and client devices. They will also build integrations with third-party restaurant software systems and optimize the AI pipeline to handle challenging audio environments and scale rapidly.
The role involves designing and implementing modern applications, co-creating efficient solution architectures, and creating clear project documentation. Responsibilities also include participating in software deployments, collaborating with users to solve problems, presenting solutions to clients, and mentoring junior developers.
The role involves designing and implementing modern AI-based applications, co-creating efficient solution architectures, and developing clear, maintainable project documentation. Responsibilities also include participating in software deployments and collaborating with users to resolve issues.
The role involves designing, developing, and maintaining new features across engineering services including client-facing apps, the computer vision pipeline, and IoT software. Responsibilities also include maintaining system reliability through monitoring and debugging, and collaborating on code and product roadmap contributions.
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Design and implement complex agent orchestration logic using LangGraph, defining state management, routing, and error handling for the high-load financial analysis system. Build and optimize the tool layer for LLM interaction with internal APIs and implement performance optimizations like asynchronous processing and semantic caching.
The role involves conducting structured job shadows on active jobsites to map workflows, extract expert construction knowledge, and synthesize observations to inform the venture studio and product roadmap. Additionally, the lead will enable field teams to adopt and leverage custom AI tools through hands-on coaching and feedback.
This role involves extensive travel to construction jobsites to shadow teams, capture expert knowledge, and synthesize field observations to directly inform the company's venture studio and product roadmap. Additionally, the lead will be responsible for enabling field teams to understand and adopt custom-built AI tools through hands-on coaching and translating technical capabilities into construction language.
The Senior Software Engineer will design, implement, and integrate AI features into existing 8am products by collaborating with product managers and data scientists. Responsibilities include building and evaluating AI-powered services, writing high-quality Python code for data manipulation and LLM interaction, and developing infrastructure for scalable AI deployment.
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