What are the responsibilities and job description for the Forward Deployed Engineer position at Mphasis?
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.
Salary : $120,000 - $130,000