Special Projects (Office of the CTO), Staff AI Engineer
About the Role :
We're seeking an exceptional Staff AI Engineer to join our Office of the CTO's Special Projects team. This is a unique opportunity to work at the leading edge of AI research and development, building and iterating on cutting-edge AI agents and models that will shape our company's product vision and strategic direction. As a staff-level technical leader, you'll not only push the boundaries of what's possible with AI, but also set technical direction, influence architecture decisions across the organization, and mentor engineering teams. You'll have the freedom to explore emerging AI capabilities, prototype innovative solutions, and identify transformative opportunities for AI integration across our enterprise software platform.
What You'll Do :
Technical Leadership & Strategy
- Define technical vision and architecture for next-generation AI capabilities across the company
- Drive AI strategy discussions with the CTO and executive leadership, translating technical possibilities into business opportunities
- Set standards and best practices for AI development that influence teams organization-wide
- Lead cross-functional initiatives that span multiple teams and product areas
Research & Innovation
Design, build, and rapidly iterate on experimental AI agents and models to explore state-of-the-art capabilitiesEvaluate emerging AI research, architectures, and techniques for potential integration into our product ecosystemTranslate cutting-edge research papers into practical implementations and proof-of-conceptsStay current with ML research publications and identify opportunities for competitive advantageEstablish evaluation methodologies and frameworks that become company standardsInfrastructure & Systems
Architect enterprise-scale ML infrastructure for LLM training, evaluation, and deploymentBuild robust evaluation and monitoring frameworks to measure model performance, safety, and business impactDesign for scalability from prototype to production, ensuring systems can handle enterprise workloadsOptimize inference latency and resource efficiency for production AI systemsDevelop reusable abstractions and tools that accelerate AI development across the organizationMake critical technical decisions on infrastructure, tooling, and platform choicesTechnical Development
Architect production-quality AI systems including RAG pipelines, agentic workflows, and multi-modal applicationsBuild scalable microservices and data pipelines to support AI experimentation and deploymentIntegrate AI capabilities with existing enterprise systems, APIs, and data architecturesSolve the most complex technical challenges that other engineers escalateStrategic Impact & Influence
Partner with the CTO and senior leadership as a trusted technical advisor on AI strategy and roadmapWork cross-functionally with ML experts, data infrastructure, and product stakeholders to drive alignment on technical directionIdentify high-impact opportunities where AI can create significant customer valueMentor and develop senior and staff engineers across the organization on AI capabilities and best practicesRepresent the company externally through technical talks, blog posts, or industry engagementWhat You Bring : Required Experience
8+ years of software engineering experience with strong fundamentals in system design, algorithms, and data structures5+ years hands-on experience building AI-powered applications using LLMs and modern AI frameworksProven track record of leading complex technical initiatives and shipping production AI systems that deliver measurable business value at scaleDemonstrated experience influencing technical strategy and mentoring senior engineersDeep expertise with AI development tools and platforms (LangChain, LlamaIndex, OpenAI / Anthropic APIs, vector databases)Technical Skills
Expert-level proficiency in Python; experience with TypeScript / JavaScript is a plusStrong understanding of prompt engineering, RAG architectures, and agentic AI patternsDeep expertise in at least one area : LLM infrastructure, distributed training, inference optimization, or multi-agent systemsExperience with deep learning frameworks (PyTorch, Hugging Face Transformers)Familiarity with LLM serving frameworks (vLLM, TensorRT-LLM, or similar)Experience architecting systems for scale, reliability, and performanceExperience with AI evaluation methodologies, safety considerations, and failure mode analysisComfortable with cloud platforms (AWS / GCP / Azure), containerization, and modern DevOps practicesStrong understanding of distributed systems, microservices architecture, and data pipeline designLeadership & Impact
Demonstrated ability to drive technical vision and influence decision-making across multiple teamsTrack record of mentoring and developing engineers at various levelsExperience leading projects with ambiguous requirements and navigating organizational complexityExceptional ability to communicate complex technical concepts to both technical and executive audiencesStrategic thinking with ability to balance long-term technical vision with near-term business needsProven ability to build consensus and drive adoption of new technologies and practicesMindset & Approach
Exceptional ability to navigate ambiguity and rapidly prototype solutions with incomplete informationStrong research orientation with ability to consume academic papers and translate to practical applicationsProduct thinking with focus on user needs, business value, and real-world impactCollaborative communication style with ability to explain complex AI concepts clearlyIntellectual curiosity and excitement about pushing the boundaries of AI capabilitiesOwnership mentality and willingness to tackle the hardest problemsPreferred Qualifications
Experience in enterprise software environments and understanding of B2B customer needsDeep specialization in one or more AI domains : NLP, computer vision, reinforcement learning, multi-agent systems, or LLM infrastructureContributions to open-source AI projects or published technical writingExperience with responsible AI practices, model governance, and compliance considerationsPrevious experience in innovation labs, R&D teams, or strategic technical leadership rolesExperience with ML inference optimization techniquesKnowledge of distributed training frameworks (DeepSpeed, FSDP, etc.)Familiarity with Kubernetes and container orchestration for ML workloadsExperience with model quantization, compression, or efficiency techniquesWhat Makes This Role Unique :
This isn't a traditional engineering role. You'll have :
Direct partnership with executive leadership and significant influence over company-wide AI strategyFreedom to experiment without the constraints of typical product development cyclesVisibility and impact as your work shapes the future direction of our productsSmall team autonomy with resources to move fast and test bold ideasResearch time to stay at the forefront of AI developments and explore emerging capabilitiesTechnical leadership scope that extends across the entire engineering organizationOur Environment :
We're building a team culture that values intellectual curiosity, rapid experimentation, and thoughtful risk-taking. You'll work alongside other senior engineers who are equally passionate about AI's potential to transform enterprise software. We believe in giving smart people hard problems and the autonomy to solve them. As a staff engineer, you'll be a key technical leader helping shape not just what we build, but how we build it.
Your work will directly impact how our customers experience AI and shape the long-term scalability of our AI capabilities. This role is critical to our company's AI transformation and competitive positioning.
Level & Compensation :
Not sure if this is the right level? Don't worry-while this role is scoped at L5+, we're open to candidates at the Senior, Staff, or Principal level based on experience and impact. Our interviews are designed to calibrate level based on experience. Compensation is commensurate to leveling decisions.
Compensation : $200,000 - $330,000
Our compensation package includes a market competitive salary, equity for all full time roles, exceptional benefits, and, for applicable roles, commissions or bonus plans.Ultimately, in determining pay, final offers may vary from the amount listed based on geography, the role's scope and complexity, the candidate's experience and expertise, and other factors.
Moveworks Is An Equal Opportunity Employer
Moveworks is proud to be an equal opportunity employer. We provide employment opportunities without regard to age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, veteran status, or any other characteristics protected by law.Who We Are
Moveworks is an AI Assistant that helps all employees find information, automate tasks, and be more productive. We give the entire workforce one interface to get answers and take action across every enterprise system. And for developers, we make it easy to build and deploy AI agents that bring the power of Moveworks to every business process or workflow.
It's all powered by a pioneering Reasoning Engine paired with an Agentic Automation Engine that, together, are able to handle even the most complex requests by understanding queries, then building and executing intelligent plans to fulfill them - in seconds.
Founded in 2016, Moveworks has raised $315M in funding, and eclipsed $100M in ARR in 2024 thanks to our award-winning product and team. Along the way, we've earned recognition as a leader in the Forrester Wave for Conversational AI Platforms for Employee Services, as a member of the Forbes Cloud 100 and AI 50 lists, and as one of America's Most Loved Workplaces according to Newsweek.
Today, Moveworks has over 500 employees in six offices globally, and is backed by some of the world's most prominent investors including Kleiner Perkins, Lightspeed, Bain Capital Ventures, Sapphire Ventures, Iconiq, and more.
Over 350 leading organizations like Marriott, Databricks, Toyota, CVS Health, and Honeywell trust Moveworks to increase operational efficiency, enhance the employee experience, and drive lasting AI transformation.
Come join one of the most innovative teams on the planet!