Forward Deployed Engineer

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.
• 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.
• 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.