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Forward Deployed Engineer (FDE)

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Onsite

Forward Deployed Engineer (FDE)

Mphasis

Forward Deployed Engineer (FDE)

Skills

PythonDevOpsMicroservicesSeleniumPlaywrightAIGitHubCompliance

1 month ago

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Important information


Contract type:

Permanent

Salary:

$100,000 – $140,000 / year

Location:

Alpharetta, GA, USA

Work mode:

Onsite

Published on:

24 September 2026

What they need


Experience: 5–7 Years

Role Overview

Mphasis is seeking a highly motivated Forward Deployed Engineer (FDE) to bridge business challenges and technology solutions through AI-assisted engineering, automation, and modern software delivery practices.

As an FDE, you will work directly with customers to translate business requirements into scalable technology solutions. You will leverage AI-native engineering approaches, Agentic SDLC practices, and automation frameworks to accelerate solution delivery while ensuring enterprise-grade quality and governance.

Key Responsibilities

  • Work closely with customers and stakeholders to understand business problems and translate them into technology solutions.
  • Design, generate and validate AI-generated code and engineering artifacts, and drive deployment of enterprise-grade applications, integrations, and AI-powered solutions.
  • Apply prompt engineering, context engineering, and AI enablement techniques to improve solution outcomes.
  • Review and validate AI-generated artifacts including requirements, design documents, code, and technical specifications.
  • Review and validate AI-generated test designs, test cases, Playwright automation scripts, and quality engineering assets to ensure functional accuracy, adequate coverage, maintainability, and production readiness.
  • Ensure compliance with enterprise security, governance, DevSecOps, and quality standards.
  • Build and orchestrate agentic workflows, automation pipelines, and developer productivity solutions.
  • Develop solution prototypes, proof-of-concepts, and production-ready implementations.
  • Support customer engagements, workshops, demonstrations, and solution consulting activities.

Required Skills

Technical Skills

  • Strong software engineering background with 5–7 years of experience.
  • Strong proficiency in Python , with the ability to review, validate, debug, and optimize AI-generated code for enterprise use.
  • Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude, Cursor, or equivalent platforms.
  • Experience working with Spec-Driven Development methodologies.
  • Hands-on experience with APIs, microservices, and modern application architectures.
  • Familiarity with CI/CD, DevSecOps, automated testing, and deployment pipelines.
  • Experience with test automation frameworks such as Playwright, Selenium, or equivalent.

Professional Skills

  • Strong problem-solving and analytical capabilities.
  • Customer-facing communication and consulting skills.
  • Ability to work independently in fast-paced environments.
  • Experience collaborating with cross-functional and distributed teams.
  • Strong ownership mindset with a focus on measurable business outcomes.

Preferred Qualifications

  • Experience in Banking & Financial Services (BFS) domain.
  • Exposure to Agentic SDLC, Spec-Driven Development, or AI-assisted delivery models.

Understanding of cloud-native architectures and platform engineering.

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