Why This Role Stands Out
This Forward Deployed Engineer role offers an exciting opportunity to leverage cutting-edge AI-assisted engineering and automation to solve complex business challenges, with the flexibility of a hybrid work model. You'll thrive here if you possess a strong software engineering background in Python and AI, enjoy translating business needs into scalable tech solutions, and are eager to drive innovation in a collaborative environment. Embrace this chance to grow your skills and make a significant impact!
Quick Overview
Job Description
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 python and AI
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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