Forward Deployed Engineer, Client Solutions Group

Requirements

• Education & Certifications
• Bachelor’s degree, required
• Concentration in computer science, data engineering, information systems, or a related field, preferred
• Master’s degree, preferred
• Professional Experience
• 6+ years of overall relevant technical experience, required
• Professional software engineering experience, with deep expertise in full stack development, microservices, and system integrations, including time spent as a technical lead or architect, required
• Proven, hands-on experience using AI coding agents (e.g., Cursor, Claude Code) and applying AI-Driven Development Life Cycle (AI-DLC) principles and tooling to accelerate delivery teams.
• Direct, hands-on experience architecting and shipping generative AI systems in production, including designing retrieval, grounding, and semantic layers for LLM- and agent-based applications (RAG architectures, vector stores, embedding strategies, and structured tool use) preferred but not required.
• Working fluency with modern AI platforms and tooling — e.g., AWS Bedrock, Databricks, Snowflake Cortex, OpenAI/Anthropic APIs, LangChain/LlamaIndex, MLflow, and vector databases (pgvector, Pinecone, or equivalents) — with the ability to evaluate alternatives.
• Strong hands-on proficiency across the stack: modern frontend frameworks (React, Angular, or Vue) plus backend microservices and automation in a high-level language/framework.
• Proven experience building and deploying applications on AWS (Lambda, Step Functions, API Gateway, S3, CloudWatch, RDS).
• Strong grounding in modern DevOps and delivery practices: infrastructure-as-code, CI/CD pipelines, containerization (e.g., Docker), feature toggles, automated testing, and incremental delivery in production.
• Deep understanding of RESTful APIs, event-driven architectures, and secure data integration, including integrating web portals and CRM platforms with internal and third-party systems.
• Prior experience supporting Client Solutions Group, fund reporting, or private equity investor servicing functions.
• Familiarity with data governance, auditability, and compliance, and exposure to BI/reporting or data visualization tools.
• Experience scoping and shipping software directly with business users in regulated, high-stakes environments; financial services experience preferred but not required.
• Competencies & Attributes
• Builder’s instinct under ambiguity. You start by shipping, measure progress in working software not slides, and can turn a vague business problem into a working prototype in a week.
• Customer obsession. You sit with users, reimagine workflows alongside them, and ship solutions that are functional in the real world rather than theoretical on a slide.
• Platform mindset. You see every use case as an opportunity to make the next one faster. You build patterns, not snowflakes.
• Executive presence. You can sit across from a senior leader, ask the right questions, push back when needed, and earn trust.
• Intellectual honesty about AI. You know what current models can and cannot do, you design around their limits, and you do not confuse demo magic with production reliability.
• AI-forward instinct. You default to asking how AI changes a design, not whether AI can be bolted on later, and you have a clear point of view on where current architectural patterns — agents, tool use, evaluations, guardrails, and observability — actually apply.
• Architectural judgment. You translate strategy into executable technical designs, and you can distinguish durable architectural decisions from AI hype.
• Hunger to operate at the frontier. You want to build things that have never been built before, at a firm where the work matters.
• Benefits/Compensation
• The compensation range for this role is specific to New York, NY, and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
• The anticipated base salary range for this role is $160,000 to $190,000.
• In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
• Due to the high volume of candidates, please be advised that only candidates selected for an interview will be contacted by Carlyle.

Who We Are

Preferred Qualifications

• Concentration in computer science, data engineering, information systems, or a related field, preferred
• Master’s degree, preferred
• Direct, hands-on experience architecting and shipping generative AI systems in production, including designing retrieval, grounding, and semantic layers for LLM- and agent-based applications (RAG architectures, vector stores, embedding strategies, and structured tool use) preferred but not required.
• Experience scoping and shipping software directly with business users in regulated, high-stakes environments; financial services experience preferred but not required.
• The compensation range for this role is specific to New York, NY, and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.