Forward Deployed Engineer (FDE) - AI Native Analyst - Dallas ATC - NAELFY26

Role overview

Responsibilities

• check_circle Collaborate with engineers, architects, and product teams to design, build, test, and deploy custom applications and services
• check_circle Develop API-driven and platform-based solutions across front-end and back-end using your primary language (Python, Java, or TypeScript)
• check_circle Work in Agile delivery models (Scrum, Lean, XP) — contributing reliably to sprint cycles and communicating progress clearly
• check_circle Use AI coding assistants daily as a standard part of delivery — actively, frequently, and with demonstrable impact on your productivity and output quality
• check_circle Apply AI across the software delivery lifecycle: AI-generated tests, AI-assisted debugging, AI-accelerated code review, and prompt engineering for development tasks
• check_circle Validate AI-generated outputs — check for errors, limitations, and hallucinations; develop sound judgment about when AI output is reliable and when human verification is required
• check_circle Contribute to proofs of concept, technical documentation, and solution development alongside senior engineers
• check_circle Engage in client-facing environments and learn to communicate technical concepts clearly to non-technical stakeholders
• check_circle Develop your understanding of how agentic systems work — how agents are orchestrated, how LLMs are called, and how software connects to AI pipelines — through on-the-job exposure and active self-development

Basic qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Software Engineering, or a related field
• Foundational programming experience (Python, Java, TypeScript, or Node.js)
• Basic understanding of web technologies including JavaScript, HTML, and CSS
• Academic projects, internships, or personal projects in software development

Preferred qualifications

• Understanding of Agile delivery fundamentals
• Active and frequent use of AI tools in day-to-day study or work — successful candidates can demonstrate practical, everyday examples of how they leverage AI to solve problems, accelerate learning, and improve their output
• Sound judgment when using AI: ability to validate outputs, understand limitations, and show curiosity about how AI is reshaping modern software engineering
• Demonstrated curiosity about agentic AI — evidence of self-directed exploration through personal projects, side builds, online courses, or experimentation with tools like LangChain, LangGraph, AutoGen, or equivalent; we are looking for inclination and initiative, not production experience
• Some exposure to LLM APIs in any context (personal projects, coursework, or work)
• API and service-oriented architecture
• Databases — SQL or NoSQL
• Cloud platforms (AWS, Azure, or GCP) and DevOps concepts
• Frontend frameworks such as React or Angular
• Containers (Docker) and CI/CD pipeline basics

Benefits

• check_circle Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage
• check_circle 401(k) plan
• check_circle Bonus opportunities
• check_circle Paid holidays
• check_circle Paid time off