Forward Deployed Engineer (FDE)

Job Description:

Forward Deployed Engineer 8+ years of relevant professional experience

Location: Plano, TX / NYC, NY / Atlanta, GA, Seattle, WA

JOB SUMMARY

As a FDE, you will work at the intersection of customer strategy, product, AI architecture, data and engineering. You will identify high-value business problems, shape practical AI-enabled solutions, and work with experienced FDEs, platform teams and engineers to configure, integrate, test and deploy AI-native products in customer environments across the United States or United Kingdom.

This role is for a go-getter with a builder mindset, excellent communication skills and a strong passion for AI technology and its possibilities. You should enjoy solving ambiguous business problems using technology, translating between business and technical teams, learning quickly and continuously, and staying with a solution through production adoption and measurable value.

ROLES & RESPONSIBILITIES

•  Participate in customer discovery to understand users, workflows, pain points, data, systems, constraints and the business outcomes to be improved.

•  Translate business problems into clear hypotheses, measurable success criteria, solution options and the smallest credible production-oriented solution slice.

•  Apply an understanding of AI architecture and engineering to support solution design, platform selection, integration, testing, evaluation and deployment readiness.

•  Work with senior FDEs, product managers, architects and engineers to configure, customize and integrate Client AI-native platforms, agents and reusable accelerators.

•  Contribute hands-on to prototyping, data analysis, workflow design, prompt and context design, documentation, demonstrations and user-feedback cycles.

•  Help ensure solutions are responsible, secure, reliable, observable and cost-aware, with appropriate human oversight, controls and fallback paths.

•  Drive work forward with urgency and ownership, proactively resolve issues and operate effectively in fast-moving customer and product environments.

•  Support customer adoption through enablement, workflow improvement and tracking of usage, quality and business-value evidence.

•  Capture field insights and convert recurring customer needs into reusable assets, product feedback and roadmap inputs.

•  Communicate complex business and technical ideas clearly through structured discussions, concise documents and executive-ready presentations.

ESSENTIAL QUALIFICATIONS           

• Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI or a closely related technical discipline.

• Experience in a startup, product company or zero-to-one product-building environment.

• Business, management or related postgraduate degree is preferred following the technical degree.

• AI-native product development experience involving GenAI, LLMs, RAG, agentic systems, intelligent workflows or production AI applications.

• 5+ years of relevant experience in product engineering, technology consulting, AI/data solutions, digital products or enterprise technology.

• Hands-on exposure to Python, SQL, APIs, cloud platforms, workflow automation, data pipelines, evaluation or observability.

• Excellent written and verbal communication skills, with the ability to engage business, technical and executive stakeholders.

• Industry or domain knowledge and understanding of business processes, KPIs and operating constraints.

• Strong understanding of AI architecture, software/data engineering, APIs, cloud and the AI solution lifecycle.

• Strong academic record from leading or Ivy League colleges.

• Builder mindset, structured problem solving, high ownership and the ability to solve business problems using technology

• Experience taking solutions from discovery and prototype through production deployment, adoption and measurable outcomes.

• Passion for AI technology and its possibilities, with a quick and continuous learning orientation.

• Understanding of Responsible AI, information security, data privacy, testing and AI economics.

• Willingness and ability to travel for customer engagements, based on business needs.   

Interview & Assessment Workflow

Note: Direct internal hire under Platforms & Products — No client interview round.

[Screening] ────►     [HM Round] ────► [Tech Assessment] ────► [Final but formal Tech Interview]

Recruiter Call     Hiring Manager         48-72h Take-Home                   Scenario-Based Deep Dive

1. Recruiter Screening: Profile, work authorization (USC), travel readiness (60%), and compensation alignment.
2. Hiring Manager Round: Behavioural, product mindset, background verification, and communication assessment.
3. Take-Home Technical Assessment: 1 practical exercise/case study completed within 2–3 business days.
4. Formal Technical Interview: Scenario-based solution, end-to-end architecture evaluation, and live solutioning.