Product Architect/Application Architect - Agentic AI

Job Title: Product/Application Architect

Summary

hands-on Product/Application Architect

You will own architectural decisions across product lines, ensure scalable and maintainable system design, and drive the integration of AI/ML into modern digital platforms. This role demands a combination of deep technical expertise, proactive leadership, and effective communication.

Key Responsibilities

Architecture & Solution Design

• Architect robust, scalable, and secure enterprise applications across frontend, backend, and cloud layers.
• Design and guide the integration of AI/ML models into product workflows, ensuring performance, maintainability, and observability.
• Define and enforce architectural standards, reusable patterns, and best practices across teams.

Technical Leadership

• Provide hands-on technical direction throughout the software development lifecycle.
• Review designs and code to uphold architectural integrity and code quality.
• Introduce and drive adoption of new tools, technologies, and frameworks.

Collaboration & Mentorship

• Translate business needs into high-impact technical solutions through close collaboration with product, design, and data teams.
• Mentor engineers, provide architectural guidance, and elevate team capabilities.
• Communicate architectural decisions clearly to both technical and non-technical audiences.
  

Delivery & Execution

• Support agile development practices, CI/CD pipelines, and DevOps processes.
• Anticipate and resolve architectural challenges to ensure delivery speed and quality.
• Continuously evaluate system performance and make improvement recommendations.

Required Qualifications

• Bachelors or Master’s in Computer Science or related field.
• 10+ years in software engineering, with 3+ years in an architecture or technical leadership role.
• Experience building full-stack applications using technologies like React, Angular, Node.js, Python, Java, or Golang.
• Strong background in cloud-native development (AWS or GCP), microservices, and containerization (Docker, Kubernetes).
• Practical experience designing and deploying AI/ML features using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Deep understanding of system design, API architecture, scalability, and performance optimization.
• Strong communicator with the ability to influence technical and business stakeholders.
• Proven experience mentoring teams and fostering engineering excellence.