Forward Deployed Engineer (FDE)

Wipro•Atlanta, GA

12h

About The Position

Wipro is hiring a Forward Deployed Engineer to help customers identify and solve business problems using AI-native technology. The role involves customer discovery, translating business needs into measurable solution approaches, and supporting the design, integration, testing, evaluation, and deployment readiness of AI solutions. The engineer works with senior FDEs, product managers, architects, and engineers to configure and integrate Wipro AI-native platforms, agents, and reusable accelerators. The position contributes hands-on to prototyping, data analysis, workflow and prompt design, documentation, demonstrations, and user-feedback cycles. It also supports responsible, secure, reliable, observable, and cost-aware solutions, customer adoption, and the development of reusable assets and product feedback from field insights. The role requires clear communication with business, technical, and executive stakeholders and willingness to travel for customer engagements as business needs require. The listed experience range is 5–8 years, with 3+ years of relevant experience specified among the qualifications. Compensation ranges from $60,000 to $148,500, depending on factors including location, skills, and relevant experience. The role is eligible for Wipro’s standard benefits, including medical and dental options, disability insurance, paid time off, and other paid and unpaid leave options.

Requirements

Bachelor’s degree in Computer Science, Software Engineering, Data Science, AI, or a closely related technical discipline.
At least 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.
Strong understanding of AI architecture, software and data engineering, APIs, cloud, and the AI solution lifecycle.
Excellent written and verbal communication skills and ability to engage business, technical, and executive stakeholders.
Builder mindset, structured problem-solving, high ownership, and ability to solve business problems using technology.
Experience taking solutions from discovery and prototype through production deployment, adoption, and measurable outcomes.
Understanding of Responsible AI, information security, data privacy, testing, and AI economics.
Willingness and ability to travel for customer engagements based on business needs.
Mandatory skill: Croamis.

Nice To Haves

Experience in a startup, product company, or zero-to-one product-building environment.
Business, management, or related postgraduate degree following the technical degree.
AI-native product development experience involving GenAI, LLMs, RAG, agentic systems, intelligent workflows, or production AI applications.
Industry or domain knowledge and understanding of business processes, KPIs, and operating constraints.
Strong academic record from leading or Ivy League colleges.
Passion for AI technology and its possibilities, with a quick and continuous learning orientation.

Responsibilities

Participate in customer discovery to understand users, workflows, pain points, data, systems, constraints, and desired business outcomes.
Translate business problems into hypotheses, measurable success criteria, solution options, and a small, production-oriented solution slice.
Apply knowledge 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 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, resolve issues proactively, and operate effectively in fast-moving customer and product environments.
Support customer adoption through enablement, workflow improvement, and tracking usage, quality, and evidence of business value.
Capture field insights and turn recurring customer needs into reusable assets, product feedback, and roadmap inputs.
Communicate complex business and technical ideas through structured discussions, concise documents, and executive-ready presentations.