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 capabilities
- Evaluate emerging AI research, architectures, and techniques for potential integration into our product ecosystem
- Translate cutting-edge research papers into practical implementations and proof-of-concepts
- Stay current with ML research publications and identify opportunities for competitive advantage
- Establish evaluation methodologies and frameworks that become company standards
Infrastructure & Systems
- Architect enterprise-scale ML infrastructure for LLM training, evaluation, and deployment
- Build robust evaluation and monitoring frameworks to measure model performance, safety, and business impact
- Design for scalability from prototype to production, ensuring systems can handle enterprise workloads
- Optimize inference latency and resource efficiency for production AI systems
- Develop reusable abstractions and tools that accelerate AI development across the organization
- Make critical technical decisions on infrastructure, tooling, and platform choices
Technical Development
- Architect production-quality AI systems including RAG pipelines, agentic workflows, and multi-modal applications
- Build scalable microservices and data pipelines to support AI experimentation and deployment
- Integrate AI capabilities with existing enterprise systems, APIs, and data architectures
- Solve the most complex technical challenges that other engineers escalate
Strategic Impact & Influence
- Partner with the CTO and senior leadership as a trusted technical advisor on AI strategy and roadmap
- Work cross-functionally with ML experts, data infrastructure, and product stakeholders to drive alignment on technical direction
- Identify high-impact opportunities where AI can create significant customer value
- Mentor and develop senior and staff engineers across the organization on AI capabilities and best practices
- Represent the company externally through technical talks, blog posts, or industry engagement
What You Bring:
Required Experience
- 8+ years of software engineering experience with strong fundamentals in system design, algorithms, and data structures
- 5+ years hands-on experience building AI-powered applications using LLMs and modern AI frameworks
- Proven track record of leading complex technical initiatives and shipping production AI systems that deliver measurable business value at scale
- Demonstrated experience influencing technical strategy and mentoring senior engineers
- Deep 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 plus
- Strong understanding of prompt engineering, RAG architectures, and agentic AI patterns
- Deep expertise in at least one area: LLM infrastructure, distributed training, inference optimization, or multi-agent systems
- Experience 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 performance
- Experience with AI evaluation methodologies, safety considerations, and failure mode analysis
- Comfortable with cloud platforms (AWS/GCP/Azure), containerization, and modern DevOps practices
- Strong understanding of distributed systems, microservices architecture, and data pipeline design
Leadership & Impact
- Demonstrated ability to drive technical vision and influence decision-making across multiple teams
- Track record of mentoring and developing engineers at various levels
- Experience leading projects with ambiguous requirements and navigating organizational complexity
- Exceptional ability to communicate complex technical concepts to both technical and executive audiences
- Strategic thinking with ability to balance long-term technical vision with near-term business needs
- Proven ability to build consensus and drive adoption of new technologies and practices
Mindset & Approach
- Exceptional ability to navigate ambiguity and rapidly prototype solutions with incomplete information
- Strong research orientation with ability to consume academic papers and translate to practical applications
- Product thinking with focus on user needs, business value, and real-world impact
- Collaborative communication style with ability to explain complex AI concepts clearly
- Intellectual curiosity and excitement about pushing the boundaries of AI capabilities
- Ownership mentality and willingness to tackle the hardest problems
Preferred Qualifications
- Experience in enterprise software environments and understanding of B2B customer needs
- Deep specialization in one or more AI domains: NLP, computer vision, reinforcement learning, multi-agent systems, or LLM infrastructure
- Contributions to open-source AI projects or published technical writing
- Experience with responsible AI practices, model governance, and compliance considerations
- Previous experience in innovation labs, R&D teams, or strategic technical leadership roles
- Experience with ML inference optimization techniques
- Knowledge of distributed training frameworks (DeepSpeed, FSDP, etc.)
- Familiarity with Kubernetes and container orchestration for ML workloads
- Experience with model quantization, compression, or efficiency techniques
What 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 strategy
- Freedom to experiment without the constraints of typical product development cycles
- Visibility and impact as your work shapes the future direction of our products
- Small team autonomy with resources to move fast and test bold ideas
- Research time to stay at the forefront of AI developments and explore emerging capabilities
- Technical leadership scope that extends across the entire engineering organization
Our 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.
- 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 the Agentic AI Assistant platform that empowers the entire workforce.
Our platform enables employees to converse with all of their business systems through natural language to quickly find answers and automate tasks. Powered by the world's most advanced LLMs, our proprietary models, and a sophisticated Agentic AI platform, we're transforming how work gets done by allowing AI to take initiative, streamline complex workflows, and continuously learn and adapt.
Moveworks is trusted by over 5.5 million employees at more than 350 of the world’s largest companies, including 10% of the Fortune 500, to automate everyday tasks and streamline business operations. Recognized on the Forbes Cloud 100 and AI 50 lists, Moveworks was also named one of Fast Company’s 2025 Most Innovative Companies and Inc’s Best in Business, in the Best in Innovation category. Moveworks was also recognized at Microsoft’s 2025 Partner of the Year and in 2024, received the AI Breakthrough Award.
In December 2025, Moveworks was acquired by ServiceNow, marking a pivotal milestone in our journey to create a single front door to work for all business systems. By combining ServiceNow’s leading workflow automation with Moveworks’ Reasoning Engine and natural language capabilities, we deliver the AI platform for every person and every workflow. Built to go beyond basic summaries to deliver meaningful business impact. Together, our AI acts across enterprise systems to turn conversations into completed work.
By joining our team, you’ll be at the forefront of the AI transformation, backed by the global scale of ServiceNow and the agility of a high-growth company. We are looking for world-class talent to help us extend agentic AI to every employee across every corner of the business.
Come join us!
ServiceNow
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.