Forward Deployed Engineer (FDE)

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.

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.

6 EXPERIENCE & SKILLSET REQUIRED ESSENTIAL QUALIFICATIONS PREFERRED EXPERIENCE

Bachelors 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 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.