Agentic AI Forward-Deployed Engineer

Mphasis

Berkeley Heights (NJ)

On-site

USD 120,000 - 160,000

Full time

10 hours ago
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Job summary

Mphasis is seeking a Forward Deployed Engineer (FDE) to bridge business challenges and technology solutions through AI-assisted engineering and automation. You will work directly with customers to translate requirements into scalable solutions, leveraging agentic SDLC practices and automation for enterprise-grade quality and governance.

Responsibilities include designing and validating AI-generated code, reviewing artifacts and test assets, and building deployment pipelines.

Qualifications

  • 5–7 years of software engineering experience.
  • Proficient in Python for reviewing and optimizing AI-generated code.
  • Experience with AI-assisted development tools and agentic SDLC.
  • Familiarity with APIs, microservices and modern architectures.
  • Background in CI/CD, DevSecOps, automated testing and deployment pipelines.

Responsibilities

  • Understand business problems and translate them into technology solutions.
  • Design, generate and validate AI-generated code and artifacts; drive deployment of enterprise-grade applications.
  • Apply prompt engineering and context engineering to improve outcomes.
  • Review AI-generated requirements, design, code and specs for quality and governance.
  • Validate AI-generated test designs and Playwright/Selenium scripts for coverage and production readiness.
  • Ensure compliance with security, governance and quality standards.
  • Build agentic workflows, automation pipelines and developer productivity tools.
  • Develop prototypes, PoCs and production-ready implementations.
  • Support customer engagements, workshops and solution consulting.

Skills

Python
AI-assisted development
Spec-Driven Development
APIs & microservices
CI/CD & DevSecOps
Test automation
Problem-solving
Customer-facing
Independent work

Tools

GitHub Copilot
Claude
Cursor
Playwright
Selenium

Job description

Mphasis is seeking a Forward Deployed Engineer (FDE) to bridge business challenges and technology solutions through AI-assisted engineering and automation. You will work directly with customers to translate requirements into scalable solutions, leveraging agentic SDLC practices and automation for enterprise-grade quality and governance.

Responsibilities include designing and validating AI-generated code, reviewing artifacts and test assets, and building deployment pipelines.

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