Forward Deployed Engineer (FDE)

Job Description

Forward Deployed Engineer (FDE)

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Berkeley Heights, NJ (5days Onsite)

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Experience: 5–7 Years

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Look for Agentic AI with CI/CD experience

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Role Overview

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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.

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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.

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Key Responsibilities

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

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Technical Skills

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

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

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• Experience in Banking & Financial Services (BFS) domain.
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• Exposure to Agentic SDLC, Spec-Driven Development, or AI-assisted delivery models.
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Understanding of cloud-native architectures and platform engineering.