We are seeking an accomplished Principal Application Architect to serve as a strategic technical leader, shaping the future of our cloud-native SaaS applications, enterprise data platform, and AI capabilities. This role will play a pivotal part in bringing together Apptio, Cloudability, and Targetprocess into a unified portfolio of applications that delivers actionable financial intelligence to customers. The architect will drive large-scale architectural decisions, optimize our cloud data platforms, and embed AI/ML-powered capabilities into enterprise-grade solutions.
This is a senior, high-impact role requiring deep expertise in architecting mission-critical SaaS systems, governing cross-product integrations, and building next-generation financial intelligence platforms. You will influence executives and product leaders, mentor senior engineers, and ensure our solutions are scalable, secure, cost-efficient, and future-ready.
Key Responsibilities:
Strategic Portfolio Integration & Leadership:
Architect, deliver and govern a unified financial intelligence platform for integrating Apptio, Cloudability, and Targetprocess.
Define and govern enterprise-wide architecture frameworks for multi-tenant SaaS, data platforms, and AI-enabled capabilities.
Align technology decisions with business objectives, influencing executives, product leadership, and engineering stakeholders.
Data Platform & AI/ML Enablement:
Architect a common data layer to unify financial and operational data across the portfolio, standardizing services, APIs, and governance.
Design and scale Snowflake-based data environments for large-scale analytics, AI/ML, and LLM workloads.
Define and drive implementation of differentiated AI-driven features such as natural language financial insights, anomaly detection, and automated data mapping.
Partner with data science teams to productize AI models using MLOps best practices.
Leverage cloud-native AI services (including IBM AI and LLM models) to deliver intelligent platform capabilities.
Application & Platform Modernization:
Evolve legacy and monolithic systems into microservices-based, API-first, and AI-enabled architectures.
Drive strategies for high-volume, low-latency financial workloads while optimizing for cost efficiency.
Implement architecture, tooling, and automation to accelerate development speed, improve operational agility, and reduce manual overhead.
Security, Compliance & Trust:
Champion secure-by-design architectures with tenant isolation, encryption, data privacy controls, and compliance with GDPR, HIPAA, SOC 2, and other regulatory frameworks.
Ensure financial intelligence solutions meet the highest standards of auditability, reliability, and trust.
Mentorship & Innovation:
Coach principal engineers and architects, raising AI, SaaS, and data platform expertise across the organization.
Evaluate and integrate emerging SaaS, AI, LLM, and financial intelligence technologies to maintain competitive advantage.
Experience:
12+ years in software architecture and enterprise application development.
5+ years as a principal, lead, or staff-level architect delivering multi-tenant SaaS on AWS, Azure, or GCP.
Proven experience architecting portfolio-level integrations across multiple SaaS products.
Large-scale Snowflake architecture, governance, and cost-optimization expertise.
Track record of designing, deploying, and scaling AI/ML-powered features in production.
Hands-on experience with AI/ML frameworks, LLM integration, prompt engineering, MLOps tooling, and cloud AI services.
Technical Skills:
Deep understanding of Snowflake internals and advanced SQL performance tuning.
Strong grasp of SaaS architecture patterns (tenant isolation, metering/billing, API security).
Proficiency in Infrastructure-as-Code (Terraform, Pulumi) for provisioning SaaS and AI/data environments.
Hiring manager and Recruiter should collaborate to create the relevant verbiage.