Chief Architect

Role Overview:

We are looking for a highly experienced Chief Architect to define and lead the overall technical vision and architecture of our AI-driven SaaS platform. This role will be responsible for designing scalable, secure, and high-performance systems while driving innovation across AI/ML, data platforms, and cloud-native technologies.

Key Responsibilities:

• Define and own the end-to-end architecture strategy for AI-powered SaaS products

• Lead design of scalable, multi-tenant, cloud-native platforms

• Architect AI/ML pipelines, data platforms, and real-time analytics systems

• Drive technology roadmap, aligning with business and product strategy

• Ensure system scalability, reliability, security, and performance

• Establish best practices for microservices, APIs, and distributed systems

• Evaluate and implement emerging technologies in AI and cloud ecosystems

• Provide technical leadership and mentorship to engineering teams

• Collaborate with product, data science, and DevOps teams

• Oversee architecture governance, standards, and reviews

• Manage technical debt and system evolution strategies

Key Requirements:

• 15+ years of experience in software engineering and architecture

• Proven experience as a Chief Architect / Principal Architect / CTO-level leader

• Strong expertise in AI/ML systems and data engineering pipelines

• Deep knowledge of SaaS architecture and multi-tenancy models

• Hands-on experience with cloud platforms (AWS / Azure / GCP)

• Strong understanding of microservices, distributed systems, and event-driven architecture

• Experience with big data technologies (Spark, Kafka, Hadoop, etc.)

• Proficiency in modern programming languages (Python, Java, Go, etc.)

• Expertise in API design, system integration, and scalability patterns

• Strong knowledge of security, compliance, and data privacy frameworks

• Experience leading large engineering teams and cross-functional initiatives

Preferred Qualifications:

• Experience building AI-first SaaS products at scale

• Exposure to MLOps, model deployment, and lifecycle management

• Knowledge of GenAI / LLM architectures and applications

• Experience in high-growth startups or enterprise SaaS environments

• Bachelor's/Master's in Computer Science; PhD is a plus

Leadership Expectations:

• Thought leader in AI and platform architecture

• Ability to influence stakeholders at executive level

• Strong problem-solving and decision-making skills

• Passion for innovation and continuous improvement

Success Metrics:

• Scalable and resilient platform architecture

• Faster delivery of AI features and products

• Improved system performance and reliability

• Strong engineering culture and architecture standards