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.
