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David Careers

Forward Deployment Engineer

Posted 3 days ago

futran tech solutionsMurphy (TX)
Software DevelopersComputer Systems Design Services

SENIORITY

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About the role

Job Title: Forward Deployment Engineer
Location: Remote for 3 months
Job Description: Forward Deployed Engineer (Junior FDE) | 3+ years of relevant professional experience 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.

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