Architect Advanced

Mphasis; Princeton (CA); On-site; USD 100,000 - 174,000; Full time

Job summary

Mphasis is seeking a Forward Deployed Engineer to translate business needs into AI-driven software solutions for enterprise customers in the United States. You will design, deploy, and govern AI-enabled workflows, agents, and APIs while ensuring quality and security.

The role emphasizes collaboration with clients, building scalable architectures, and utilizing AI-assisted development tools to accelerate delivery and adoption of solutions. A strong Python background is required.

Qualifications

• 5-7 years of software engineering experience with focus on AI-enabled development.
• Proficient in Python for enterprise-grade code review, debugging and optimization.
• Experience using AI-assisted development tools (e.g., Copilot, Claude, Cursor).
• Familiar with LangChain/LangGraph and cloud platforms (GCP/Azure).
• Hands-on API, microservices, and modern architectures; ability to read multiple stacks.

Responsibilities

• Collaborate with customers to translate business requirements into scalable AI-enabled solutions.
• Map processes, define KPIs and ROI for proposed implementations.
• Design AI workflows, integrations, and data requirements with governance in mind.
• Build AI agents, copilots, and services, integrating with enterprise systems.
• Review and validate AI-generated designs, code, and docs for production readiness.
• Drive deployment through CI/CD, security, testing, and monitoring.

Skills

Python

AI tooling

LangChain/LangGraph

APIs & microservices

CI/CD & DevSecOps

Code review & debugging

Customer-facing

Tools

GitHub Copilot

Playwright

CodeQL

Sourcegraph

GitHub Spec Kit

Job description

Role Description

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.

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. The ideal candidate will design and deploy solutions using AIDLC (spec-driven development).

Key Responsibilities

• Work closely with customers and stakeholders to understand business goals, strategy, pain points, opportunities


• Map processes and workflow, define success metrics and KPIs


• Assess current state & technology landscape, priorities use cases, estimate ROI,


• Design technology solutions, AI/Agent workflows, integrations, data requirements, security and risk requirements


• Build AI agents, copilots, applications, APIs, services, integration with enterprise systems, RAG, orchestration


• Design, generate and validate AI-generated code and engineering artifacts, and drive deployment of enterprise-grade applications, integrations, and AI-powered solutions


• Review and validate AI-generated artifacts including requirements, design documents, code, and technical specifications.


• Apply prompt engineering, context engineering, and AI enablement techniques to improve solution outcomes.


• Customize SDD framework (GitHub SpecKit) to implement or enhance the application functionalities.


• Build the code analysis capability that scans the application code base (UI components, routes, controllers/services, API definitions, data models, validation and business-rule logic) using SDD Framework.


• Extract user flows, functional rules, boundary conditions, error paths, and integration points from the code using SDD framework


• Convert the extracted understanding into structured, reviewable specs using the Spec Kit workflow (constitution, specify, plan, tasks, implement).


• Handle large or legacy code bases through chunking, indexing, dependency mapping, and context management so results stay accurate.


• 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.


• Deploy and productionize CI/CD, automation, security, access, compliance, monitoring, logging, observability, performance tuning, scalability


• Review and ensure compliance with enterprise security, governance, DevSecOps, and quality standards.


• Develop user onboarding, training, go-live support


• Drive user adoption, measure business impact, optimize user experience, communicate outcomes


• Identify new user cases, expansion opportunities, refine model, prompts, agents


• Improve and refine processes, automation

Required 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.


• Expert AI/LLM framework LangChain/LangGraph, GCP/Azure, GraphDB/Vector Database


• Experience working with Spec-Driven Development methodologies (GitHub Spec Kit or comparable approaches).


• Hands-on experience with APIs, microservices, and modern application architectures.


• Ability to read and reason about code in the client’s stack (for example Java/Spring, .NET, Node.js, C++ or Python), including REST APIs and data models.


• Experience with static analysis or code parsing techniques (AST parsing, call graphs, dependency analysis, or tools such as Tree-sitter, CodeQL, or Sourcegraph)


• 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.

Other Details

Salary range $100000 to $173500