Forward Deployed Engineer (Office of the CEO)
AI summary of the role
Inaugural AI Solutions Engineer embedded in the Office of the CEO at a global economics/tech consulting firm.
What you’ll do
- Embed with teams to discover high-leverage inefficiencies and translate them into technical solutions
- Design and deploy production-ready LLM and RAG applications
- Build agentic workflows to automate repetitive tasks
- Create real-time decision-grade dashboards and internal tools for the CEO and leadership
What you’ll bring
- Bachelor's degree in CS, Math, Software Engineering, Physics, or Data Science
- ~4–6 years in software/data engineering or similar technical building role
- Strong proficiency in Python and/or TypeScript
- Solid foundations in APIs, data modelling, and relational databases
Technologies
Python · TypeScript · LLMs · RAG · APIs · data pipelines · relational databases · AI-assisted development · dashboarding · forecasting
Source and classification
Internal deployment & tooling · Evidence for this classification:
role, you will operate at the intersection of executive strategy, technical execution, and start-up building. You will work closely with the CEO and senior leadership to identify high-leverage problems across the firm, and rapidly design, build, and deploy solutions that drive measurable impact. This is not a traditional engineering role. You are not maintaining a single system or working from a fixed roadmap. Instead, you will move across teams and problem spaces, acting as a “startup builder” inside the firm, owning problems end-to-end from discovery through production. This role is an opportunity to build a startup-like capability within Keystone, with direct exposure to executive decision-making and firm-wide impact. You will work on the highest-priority problems, see your solutions adopted quickly, and help define how modern AI and software reshape how the firm operates. This is
More from the job description
Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation. As breakthrough innovations reshape industries, redefine competition and change our society, complex and highly competitive ecosystems emerge. Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems. We operate globally from offices in New York City, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C. 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 AI Solutions Engineer, focused on critical initiatives. In this role, you will operate at the intersection of executive strategy, technical execution, and start-up building. You will work closely with the CEO and senior leadership to identify high-leverage problems across the firm, and rapidly design, build, and deploy solutions that drive measurable impact. This is not a traditional engineering role. You are not maintaining a single system or working from a fixed roadmap. Instead, you will move across teams and problem spaces, acting as a “startup builder” [... source excerpt omitted ...] scovery through production. This role is an opportunity to build a startup-like capability within Keystone, with direct exposure to executive decision-making and firm-wide impact. You will work on the highest-priority problems, see your solutions adopted quickly, and help define how modern AI and software reshape how the firm operates. This is not an ordinary role. We are looking for an incredibly high-agency builder who is energized by a start-up culture, thrives in ambiguity, bridges the gap between strategic vision and technical reality, and fundamentally loves to learn and ship at the frontier of technology innovation. The role will also work alongside our Keystone Artifici [... source excerpt omitted ...] h teams to understand how work gets done, identify high-leverage inefficiencies, and translate them into concrete technical solutions 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 Internal Tools, Automation & Dashboards 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 Full-St
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