AI-Powered Delivery Architect

HCL Technologies Limited

United States

Sur place

USD 140 000 - 190 000

Plein temps

Il y a 27 heures
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Résumé du poste

HCL Technologies Limited seeks a Forward Deployed Engineer to embed with clients, turning ambiguous business problems into working software rapidly. You will own the outcome end to end, prototyping, integrating, hardening, and leading a small team to ship and sustain solutions with AI/GenAI as a force multiplier.

Responsibilities include conceptualizing fast solutions with stakeholders, driving delivery efficiency, and applying prompt engineering to ensure high-quality, production-grade results

Qualifications

  • Strong software engineering fundamentals and hands-on full-stack delivery.
  • Experience with integration patterns, DevOps/DevSecOps and test automation.
  • Conceptual fluency in AI/GenAI and ability to use AI tools in delivery.
  • Ability to work in ambiguous, client-embedded settings and communicate with stakeholders.
  • Experience mentoring or leading small teams.

Responsabilités

  • Embed with client stakeholders to frame and prototype fast solutions.
  • Own delivery efficiency metrics and drive ROI.
  • Engineer with AI leverage to boost pod productivity and quality.
  • Develop and deploy agent-based automation for delivery/workflows.
  • Lead a small team (3–4) and raise engineering bar.
  • Ensure secure, standards-based integrations into client ecosystems.

Connaissances

Software fundamentals
Full-stack delivery
Integrations & DevOps
DevSecOps
Test automation
AI/GenAI fluency
Prompt engineering
Client-facing
Mentoring teams
Ambiguity handling

Description du poste

HCL Technologies Limited seeks a Forward Deployed Engineer to embed with clients, turning ambiguous business problems into working software rapidly. You will own the outcome end to end, prototyping, integrating, hardening, and leading a small team to ship and sustain solutions with AI/GenAI as a force multiplier.

Responsibilities include conceptualizing fast solutions with stakeholders, driving delivery efficiency, and applying prompt engineering to ensure high-quality, production-grade results

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