Ai Application Architect

AI Application Architect

Berkeley Heights, NJ (5days Onsite)

Mphasis W2

Look for Agentic AI with CI/CD experience

AI Application Architect with 10+ years of experience in enterprise application modernization, cloud-native architecture, microservices, systems integration, and solution design. The candidate should have recent experience with AI/GenAI solutions, Spec Driven development, and skill files, including LLM integration, RAG architectures, AI agents, prompt engineering, and enterprise AI adoption initiatives. The ideal candidate should also demonstrate strong client-facing skills. Experience with Spec-kit or BMAD framework is desirable (good to have)

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.