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Forward Deployed Engineer; Junior FDE

Job in Seattle, King County, Washington, 98127, USA
Listing for: Wipro
Full Time position
Listed on 2026-10-28
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 60000 - 148500 USD Yearly USD 60000.00 148500.00 YEAR
Job Description & How to Apply Below

City:
Seattle

State/Province:
Washington

Posting

Start Date:

10/26/26

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our holistic portfolio of capabilities in consulting, design, engineering, and operations, we help clients realize their boldest ambitions and build future-ready, sustainable businesses. With over 230,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world.

For additional information, visit us at

Job Description

JOB SUMMARY
As a Junior 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 Wipro 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.
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.
  • 3+ 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,…
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