Senior AI Architect – Product Engineering
Job Description
The ideal candidate will be a hands-on technology leader who can architect solutions, build prototypes, lead AI-assisted development, establish engineering standards, and mentor development teams.
Key Responsibilities :
1. AI-First Product Development :
– Lead the development of new products, features, and MVPs using AI-assisted software development and vibe coding approaches.
– Convert business/product requirements into working prototypes and production-ready solutions rapidly.
– Use AI coding agents and modern development tools to significantly reduce development lead time.
– Establish a prototype – validate – develop – production model that enables faster product releases.
– Identify opportunities to use AI to automate repetitive development, testing, documentation, debugging, and deployment activities.
2. Solution & Product Architecture :
– Define scalable, secure, modular, and cost-effective architectures for new products.
– Make pragmatic technology choices based on speed-to-market, maintainability, scalability, and business value.
– Design APIs, microservices, databases, cloud architecture, integrations, and AI/ML components.
– Create reusable architecture patterns, frameworks, components, and accelerators across products.
– Ensure AI-generated code and solutions follow enterprise architecture and engineering standards.
3. AI Coding & Engineering Productivity :
– Lead adoption of tools such as Claude Code, GitHub Copilot, Cursor, Codex, and other emerging AI development platforms.
– Develop best practices for effective AI-assisted coding / vibe coding.
– Create reusable prompts, coding standards, agent workflows, context repositories, and development playbooks.
– Establish approaches for AI agents to support requirements analysis, coding, testing, code review, documentation, and DevOps.
– Continuously evaluate emerging AI development technologies and integrate those that provide measurable productivity gains.
4. Rapid Prototyping & MVP Development :
– Work closely with Product Managers, UX teams, business stakeholders, and engineering teams to rapidly validate ideas.
– Build functional prototypes and MVPs in days/weeks rather than traditional development cycles.
– Challenge requirements and simplify solutions wherever possible to improve speed and customer value.
– Establish a culture of “build fast, validate fast, learn fast.”
5. Technical Leadership :
– Provide technical leadership to architects, senior developers, and engineering teams.
– Mentor developers on AI-assisted development methodologies and modern software engineering practices.
– Define engineering guidelines for AI-generated and AI-assisted code.
– Conduct architecture and code reviews for critical solutions.
– Help teams overcome complex technical challenges and remove development bottlenecks.
6. Quality, Security & Governance :
– Ensure rapid AI-assisted development does not compromise software quality, security, privacy, or compliance.
– Establish automated testing, code quality, security scanning, and CI/CD practices.
– Define guardrails for the responsible use of AI-generated code.
– Ensure appropriate human review and validation of AI-generated solutions.
– Drive automated quality gates wherever practical.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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