Principal Solutions Architect, Cloud, Infrastructure, Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Define the technical strategy, reference architectures, landing zones, and standards for AWS, Azure, Kubernetes, and infrastructure-as-code.

• Create designs for lakehouses, warehouses, streaming solutions, data governance, and data quality patterns.

• Develop platform layers for GenAI and agentic workloads, transitioning from prototypes to production.

• Address access control, evaluation, observability, and cost management for AI platforms.

• Lead technical discovery efforts, assess and mitigate risks in engagements, and produce solution designs along with technical scopes.

• Utilize AI tools for discovery synthesis, drafting designs, infrastructure-as-code and code generation, reviews, documentation, and estimation.

• Establish consistent AI-enabled patterns and prompts for team integration.

• Implement guardrails for AI applications involving client and production data.

• Oversee IAM, network segmentation, secrets management, and logging processes.

• Design systems compliant with SOC 2, ISO 27001, and industry regulations.

• Incorporate operational costs, reliability targets, observability plans, and rollback strategies in designs.

• Conduct design reviews and provide mentorship to architects and senior engineers.

• Transform repeatable solutions into reusable accelerators.

• Collaborate directly with Cloud BU leadership to influence engagements and roadmaps.

• Shape AI-driven projects from initial innovation stages to comprehensive enterprise transformation.

⛳️ Requirements

• 12+ years of experience in infrastructure, cloud, or data engineering.

• Several years serving as the accountable architect for large-scale production systems.

• Extensive hands-on experience with AWS and/or Azure.

• Experience with production-level Kubernetes.

• Familiarity with Terraform or a similar infrastructure-as-code tool.

• Capability to credibly review pull requests.

• Experience in designing and implementing modern data platforms, including aspects of governance and data quality.

• Security-focused experience with IAM design, zero-trust networking, encryption, and readiness for audits.

• Proven examples of employing AI to reduce delivery times or enhance output.

• Ability to validate AI-generated outputs prior to production deployment.

• Skills to articulate technical trade-offs to both CFOs and engineers.

• Capacity to navigate ambiguity and formulate initial plans.

• Preferred: experience with production GenAI or LLM systems, including RAG, evaluation, guardrails, or agent orchestration.

• Preferred: multi-cloud or hybrid experience at an enterprise level.

• Preferred: experience in regulated industries.

• Preferred but not mandatory: AWS Solutions Architect Professional, Azure Solutions Architect Expert, or CKA certification.

• Preferred: experience in establishing an architecture practice or a center of excellence.

🏝️ Benefits

• Equal opportunity employer.

• An inclusive environment that emphasizes continuous learning, innovation, and ethical AI practices.

• Opportunities to influence real-world AI-driven projects across significant industries.

• Collaboration with a global team spanning multiple continents and cultures.