Keystone Strategy
Forward Deployed Engineer (Office of the CEO)
New York · Exec
Sponsorship not specified$160k-$180kDetected 36 days ago
TypeScriptPythonAlgorithmsData EngineeringLLMsRAGForecastingLeadership
About the role
- About the Forward Deployed Engineer (Office of the CEO) role This is a high-impact, highly autonomous builder role embedded within the Office of the CEO.
- Reporting directly to the Office of the CEO, you will be the inaugural Forward Deployed Engineer, focused on critical initiatives.
- This is not a traditional engineering role.
Responsibilities
- AI Integration: Design and deploy practical, production-ready applications using LLMs, RAG pipelines, and modern AI tooling
- Agentic Workflows: Build and implement AI-driven workflows that automate repetitive or time-intensive tasks, using emerging frameworks where appropriate
- Data Integration: Work with fragmented internal and external datasets to build reliable, automated data pipelines and systems
- Dashboarding: Create real-time, decision-grade dashboards and tools for the CEO and leadership team
- Applied Modelling: Develop and implement forecasting or predictive models tied to real business use cases (e.g., operational bottlenecks, pipeline trends, or market dynamics)
- End-to-End Ownership: Own the full lifecycle of systems you build-scoping, prototyping, validation with stakeholders, and production deployment
- AI & Data Systems: Experience building with LLMs, RAG architectures, or modern data pipelines
- Product Intuition: Strong judgment on what to build, how to prioritize, and how to iterate quickly based on user feedback
- Design and deploy practical, production-ready applications using LLMs, RAG pipelines, and modern AI tooling
Requirements
- Bachelor's degree in a highly technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science
- Technical Skills: Strong proficiency in Python and/or TypeScript, with solid foundations in APIs, data modelling, and relational databases
Nice to have
- Ability to clearly explain technical concepts and trade-offs to non-technical stakeholders, including senior leadership, and rapidly navigating a matrixed organisational structure
Skills
- Strong proficiency in Python and/or TypeScript, with solid foundations in APIs, data modelling, and relational databases
- Autonomy: Ability to operate independently, navigate ambiguity, and make pragmatic trade-offs under pressure
- Annual Salary Range
- $160,000 - $180,000 USD
- Internal Tools, Automation & Dashboards
- Leverage modern AI-assisted development tools to move quickly while maintaining strong standards for code quality, security, and scalability
- Forecasting & Prediction Algorithms
- Demonstrated track record of shipping real products, tools, or systems-not just prototypes
Compensation
- $160,000 - $180,000 USD
- In addition to annual salary, we provide an annual discretionary bonus, 401k contribution, and competitive benefits package.
- Annual Salary Range
Benefits
- The role will also work alongside our Keystone Artificial Intelligence & Machine Learning (K.AIML) team, focused on building, deploying, and scaling AI-powered tools that enhance Keystone's impact.
- In addition to annual salary, we provide an annual discretionary bonus, 401k contribution, and competitive benefits package.
- Education: Bachelor's degree in a highly technical field such as Computer Science, Mathematics, Software Engineering, Physics, or Data Science
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