Engineer, AI & Process Automation

Qualifications

• Education & Certifications
• Bachelor’s degree, required
• Concentration in computer science, software engineering, mathematics, physics, data science, or a related technical field, preferred
• Master’s degree, preferred
• Professional Experience
• 5+ years of overall relevant hands on engineering experience, required
• 2+ years building and shipping production AI applications LLM powered apps, agentic workflows, RAG systems, or copilots to real users, required
• Fluency with modern AI coding agents and developer tools (e.g., Claude Code, Cursor) and the surrounding DevOps stack version control, CI/CD, testing, containerization, and cloud deployment.
• Deep experience working across both structured data (lakehouse, warehouse, transactional, and time series sources) and unstructured data (PDFs, documents, transcripts, semi structured sources) at scale. Hands on with document intelligence, OCR pipelines, LLM based extraction, and workflow automation that integrates these into end to end business processes.
• Strong coding fundamentals in Python and TypeScript or Java. Comfortable across the stack, from Spark transforms to React front ends.
• Experience working directly with business users to scope and ship software 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.
• Leverage mindset. You see every use case as an opportunity to make the next one faster. You build patterns, not snowflakes, and you invest in reusable building blocks that compound across the team’s work.
• 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.
• Strong collaborator. You work well with business stakeholders and engineering peers, ask the right questions, communicate trade-offs clearly, and bring people along on the choices you make.
• Curious and self-directed. You look beyond assigned tasks to spot improvements, suggest alternatives, and contribute to how the team builds.
• 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 Washington, DC, 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 $180,000. 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 to interview will be contacted by Carlyle.
• Benefits/Compensation
• The anticipated base salary range for this role is $160,000 to $180,000.
• 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 to interview will be contacted by Carlyle.

Who We Are

Preferred Qualifications

• Concentration in computer science, software engineering, mathematics, physics, data science, or a related technical field, preferred
• Master’s degree, preferred
• Experience working directly with business users to scope and ship software in regulated, high stakes environments. Financial services experience preferred but not required.
• The compensation range for this role is specific to Washington, DC, 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.