Solution Architect - Platform, Data Platform & AI Architecture

• Define and evolve the architecture for Frontline's enterprise Data Platform, supporting analytics, integrations, operational workloads, data products, and AI-enabled experiences.
• Establish reusable patterns for data ingestion, transformation, storage, publication, event streaming, and data exchange across products.
• Define canonical business models, data contracts, versioning approaches, domain boundaries, and shared business concepts that improve consistency across Frontline's portfolio.
• Establish approaches for metadata, lineage, cataloging, discoverability, governance, data quality, observability, and secure data access.
• Enable reusable data products that can be consumed through APIs, events, analytical interfaces, and AI services.

• Architect reusable capabilities that allow product and engineering teams to adopt AI safely, responsibly, and efficiently.
• Shape architecture for AI-ready data, retrieval and semantic search, agentic workflows, model and tool integrations, context and knowledge systems, AI evaluation, observability, governance, security, and human oversight.
• Establish reusable integration and governance patterns that reduce isolated implementations and make trusted AI capabilities easier for teams to adopt.
• Evaluate emerging AI technologies thoughtfully, balancing innovation with security, explainability, maintainability, operational maturity, and customer trust.
• Use AI-assisted tools to accelerate architectural analysis, documentation, design exploration, research, and solution evaluation while applying strong judgment to validate outputs and protect sensitive information.

• Partner with Platform Product Management during discovery and strategic planning to identify reusable capabilities that solve meaningful problems across engineering teams.
• Help translate business and customer needs into scalable technical approaches and long-term platform investments.
• Inform platform roadmaps, architectural priorities, and build-versus-buy decisions using engineering impact, adoption, usability, cost, risk, and business value.
• Design platform capabilities that are intuitive, discoverable, well documented, and easy for engineering teams to adopt.
• Advance self-service approaches for data publishing, events, APIs, platform capabilities, and developer tooling.
• Use adoption, usability, engineering productivity, reliability, and operational outcomes to evaluate whether platform investments are creating value.

• Create and maintain reference architectures, Architecture Decision Records, Design Sketches, technical standards, engineering guidelines, reference implementations, and reusable architectural patterns.
• Participate in Architecture Review Board activities and help teams make thoughtful architectural decisions without creating unnecessary gates to delivery.
• Provide architectural guidance and mentorship to Technical Leads, engineers, and cross-functional partners.
• Communicate complex technical concepts and tradeoffs clearly to technical and non-technical audiences.
• Bring teams together around shared architectural direction, inviting different perspectives and creating clarity when problems cross organizational boundaries.
• Take ownership of architectural risks, gaps, dependencies, and opportunities, and drive them toward resolution.

• Work closely with Product Management, UX, Engineering, QA, Security, DevOps, Data & Analytics, and Architecture throughout discovery, design, refinement, planning, delivery, and production readiness.
• Help teams make pragmatic tradeoffs between immediate business priorities and long-term platform sustainability.
• Design for reliability, scalability, security, performance, cost optimization, disaster recovery, multi-tenant SaaS operations, observability, telemetry, data freshness, data quality, and Service Level Objectives.
• Champion operational excellence as part of architecture from the beginning, not as an afterthought.
• Learn what matters most to the teams and customers affected by platform decisions, and solve for the outcomes they need rather than simply implementing individual requests.

• Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience.
• 10+ years of software engineering experience, including 5+ years designing distributed systems and solution architectures.
• Experience designing cloud-native, multi-tenant SaaS platforms and building or evolving enterprise Data Platforms.
• Strong understanding of distributed systems, event-driven architectures, streaming, asynchronous workflows, APIs, integrations, and data contracts.
• Experience defining data models, canonical business concepts, governance approaches, metadata, lineage, observability, and secure data access patterns.
• Strong experience with AWS cloud services and Infrastructure as Code.
• Experience with Kafka or equivalent streaming and messaging technologies.
• Experience with modern data platforms such as Snowflake, Databricks, Amazon Redshift, Apache Iceberg, Delta Lake, or comparable technologies.
• Experience with modern data engineering and observability technologies such as dbt, Airflow, OpenSearch, DataHub, OpenMetadata, OpenLineage, or OpenTelemetry.
• Experience with REST APIs, GraphQL, API design, and integration architecture.
• Experience collaborating with Product Management during discovery, solution design, and roadmap development.
• Strong understanding of software architecture principles, security architecture, engineering best practices, and operational excellence.
• Excellent written and verbal communication, facilitation, mentoring, and technical leadership skills.
• Experience influencing technical direction across teams and organizational boundaries without relying on direct authority.

• Retrieval-Augmented Generation, vector search, semantic search, or knowledge retrieval.
• Agentic AI systems, agent orchestration, and tool integration.
• Model Context Protocol and emerging AI integration patterns.
• Knowledge graphs and context management systems.
• AI evaluation, observability, governance, and security.
• Domain-Driven Design, Event Sourcing, or CQRS.
• Enterprise architecture practices.
• Platform engineering organizations and developer enablement.
• Responsible use of AI-assisted or agentic development workflows in professional engineering environments.

• You take ownership of outcomes, follow through on commitments, and proactively address architectural risks and opportunities.
• You think in systems, connecting data, platforms, products, architecture, engineering teams, and customer experiences rather than optimizing one component in isolation.
• You balance technical excellence and long-term sustainability with pragmatic delivery.
• You build trust through collaboration, invite different perspectives, share what you know, and help teams arrive at stronger solutions together.
• You seek to understand what customers and adopting teams are ultimately trying to accomplish and use that understanding to guide technical decisions.
• You are comfortable challenging assumptions, learning from evidence, and improving an approach when a better path becomes clear.
• You communicate complex ideas with clarity and adapt your approach for technical, product, business, and executive audiences.
• You are curious about emerging technologies and actively experiment with new tools and approaches while applying thoughtful judgment.
• You use AI as a practical partner for analysis, exploration, documentation, and problem-solving, while validating outputs and maintaining appropriate security, privacy, and governance.
• You are comfortable navigating ambiguity and helping others create clarity.
• You enjoy mentoring engineers, strengthening technical practices, and helping organizations scale.
• You measure architecture by what it enables: stronger teams, more reliable platforms, faster delivery, trusted customer experiences, and better outcomes.

• Bonus eligibility and long-term incentive opportunities
• 401(k) with company match
• Comprehensive health, dental, and vision coverage
• Employee stock purchase plan
• Generous paid time off and tuition reimbursement