Forward Deployed Engineer, Client Solutions Group
AI summary of the role
Senior forward deployed engineer embedding with Client Solutions Group, Finance, and Fund Management across GPE, Credit, and AlpInvest to identify and ship AI/automation opportunities in Global Wealth operational processes (NAV reporting, fee models, financial reporting).
What you’ll do
- Partner with Client Solutions Group, Finance, and Fund Management stakeholders to document current-state processes and translate them into technical requirements and target-state designs.
- Architect AI-ready data foundations, semantic layers, and retrieval patterns enabling LLMs and agents to reason over investor and fund data.
- Design and build AWS-native pipelines, calculation logic, and governance controls to automate data processing.
- Prototype and ship automated replacements for manual, spreadsheet-based processes, prioritizing high-volume, high-risk metrics.
What you’ll bring
- 6+ years of overall relevant technical experience, with deep full-stack development, microservices, and system integration expertise, including time as a technical lead or architect.
- Hands-on experience using AI coding agents (e.g., Cursor, Claude Code) and applying AI-Driven Development Life Cycle (AI-DLC) principles.
- Proven experience building and deploying applications on AWS (Lambda, Step Functions, API Gateway, S3, CloudWatch, RDS).
- Working fluency with modern AI platforms and tooling (AWS Bedrock, Databricks, Snowflake Cortex, OpenAI/Anthropic APIs, LangChain/LlamaIndex, MLflow, vector databases).
Technologies
AWS · Lambda · Step Functions · ECS · API Gateway · S3 · RDS · React · Angular · Vue · RAG · vector databases
Source and classification
Internal deployment & tooling · Evidence for this classification:
Position Summary This is a senior engineering role at the center of Carlyle’s AI strategy, modeled on the Forward Deployed Engineer archetype: hands-on technical leaders who embed with the business, own end-to-end delivery, and operate with full ownership over the outcomes they ship. As a senior individual contributor and architectural authority at the intersection of full-stack engineering and applied AI, you will set the technical direction that others build against, partnering across a federated operating model of domain and platform teams. You will embed directly with Client Solutions Group, Finance, and Fund Management teams across GPE, Credit, and AlpInvest to identify the highest-leverage AI and automation opportunities across Global Wealth operational processes, including NAV reporting, fee models, and financial reporting and ship them into production, translating ambiguous
More from the job description
Position Summary This is a senior engineering role at the center of Carlyle’s AI strategy, modeled on the Forward Deployed Engineer archetype: hands-on technical leaders who embed with the business, own end-to-end delivery, and operate with full ownership over the outcomes they ship. As a senior individual contributor and architectural authority at the intersection of full-stack engineering and applied AI, you will set the technical direction that others build against, partnering across a federated operating model of domain and platform teams. You will embed directly with Client Solutions Group, Finance, and Fund Management teams across GPE, Credit, and AlpInvest to identify the highest-leverage AI and automation opportunities across Global Wealth operational processes, including NAV reporting, fee models, and financial reporting and ship them into production, translating ambiguous business problems into working software in weeks, not quarters. You will design, evolve, and deliver full-stack solutions, and the AI-ready data foundations, semantic layers, and retrieval patterns beneath them, that turn manual, spreadsheet-based processes into automated, standardized, and auditable technology that both people and AI agents can rely on. This position requires someone equally comfortable in a room with Finance and Fund Management stakeholders dissecting a calculation methodology, [... source excerpt omitted ...] e data model, semantic layer, pipeline, platform logic, and user-facing application that will replace it, end to end, full stack. What Success Looks Like In the first 12 months, you will have shipped multiple production AI products embedded in real Carlyle workflows, helped define the target-state architecture for AI-ready Global Wealth operational processes and established reusable patterns for retrieval and semantic access that accelerate every initiative that follows, and earned recognition as a trusted technical authority at the enterprise level. Your work will be visible at the highest levels of the firm. In-office requirement: 4 days per week Primary Responsibilities B [... source excerpt omitted ...] and user and business needs and document current-state Global Wealth operational processes, calculation logic, and data sources. Translate business processes into clear technical requirements and target-state designs. Facilitate working sessions and process walkthroughs with process owners to validate findings, resolve inconsistencies in metric interpretation, and build stakeholder alignment on standardized definitions. Act as a trusted advisor to business stakeholders on what automation can realistically deliver, and in what sequence. Full Stack Architecture, Solution Design & Delivery (≈50%) Architect AI-ready data foundations, semantic layers, contextual metadata, data contra
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