Principal Architect, Cloud Engineering

Brillio; San Ramon (CA); On-site; USD 180,000 - 220,000; Full time

Job summary

Brillio is seeking an experienced Solution Architect to design scalable cloud, infrastructure, and AI solutions across Azure, AWS, and GCP. The role includes solution design, customer advisory, cloud modernization, and leadership for transformation programs.

You will contribute to the Cloud, AI & Infrastructure CoE, support GTM, pre-sales, and solutioning initiatives while mentoring architectural teams and aligning with governance and security requirements.

Qualifications

• 10–15+ years of experience.

Responsibilities

• Design end-to-end cloud, infrastructure, platform, and AI-enabled solutions aligned to business and technology objectives.
• Translate customer requirements into scalable, secure, and cost-effective solution architectures.
• Develop solution blueprints, reference architectures, landing zones, modernization frameworks, and deployment patterns.
• Provide architecture guidance throughout the solution lifecycle, ensuring alignment with business, operational, and security requirements.
• Act as a trusted technical advisor to customers, delivery teams, and stakeholders.
• Architect hybrid and multi-cloud solutions across Azure, AWS, and GCP.
• Design cloud migration, modernization, platform engineering, and transformation solutions.
• Enable adoption of cloud-native services, containers, Kubernetes, DevOps, DevSecOps, and IaC.
• Design AI-enabled infrastructure solutions leveraging automation, AIOps, observability, and intelligent operations.
• Drive integration of AI capabilities into enterprise technology platforms and services.

Job description

Brillio is the partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Backed by Bain Capital private equity and Orogen Group, and growing rapidly since its inception, Brillio is one of the fastest growing digital technology service providers. We help clients harness the transformative potential of the four superpowers of technology - cloud computing, internet of things (IoT), artificial intelligence (AI), and mobility. Born digital in 2014, we apply Customer Experience Solutions, Data Analytics and AI, Digital Infrastructure and Security, and Platform and Product Engineering expertise to help clients quickly innovate for growth, create digital products, build service platforms, and drive smarter, data-driven performance.

With delivery locations across the United States, Romania, Canada, Mexico, and India, our growing global workforce of over 5500 Brillians blends the latest technology and design thinking with digital fluency to solve complex business problems and drive competitive differentiation for our clients. Brillio was awarded ‘Great Place To Work consistently.Learn more www.Brillio.com

About the Role

Solution Architect – Cloud, Infrastructure & AI Solutions

Role Summary

We are seeking an experienced Solution Architect to design and deliver scalable, secure, and business-aligned cloud, infrastructure, and AI solutions across Azure, AWS, and GCP environments. The role will be responsible for solution design, customer advisory, cloud modernization, AI-enabled infrastructure adoption, enterprise resiliency, and technical leadership for strategic transformation programs. The Solution Architect will also contribute to the Cloud, AI & Infrastructure CoE and support GTM, pre-sales, and solutioning initiatives.

Responsibilities

• Design end-to-end cloud, infrastructure, platform, and AI-enabled solutions aligned to business and technology objectives.
• Translate customer requirements into scalable, secure, and cost-effective solution architectures.
• Develop solution blueprints, reference architectures, landing zones, modernization frameworks, and deployment patterns.
• Provide architecture guidance throughout the solution lifecycle, ensuring alignment with business, operational, and security requirements.
• Act as a trusted technical advisor to customers, delivery teams, and stakeholders.

Cloud, Infrastructure & AI Solutions

• Architect hybrid and multi-cloud solutions across Azure, AWS, and GCP.
• Design cloud migration, modernization, platform engineering, and transformation solutions.
• Enable adoption of cloud-native services, containers, Kubernetes, DevOps, DevSecOps, and Infrastructure as Code (IaC).
• Design AI-enabled infrastructure solutions leveraging automation, AIOps, observability, and intelligent operations.
• Drive integration of AI capabilities into enterprise technology platforms and services.

CoE Leadership & Innovation

• Contribute to the Cloud & Infrastructure CoE through architecture standards, best practices, and governance frameworks.
• Develop reusable solution accelerators, architectures, frameworks, automation assets, and intellectual property.
• Evaluate emerging technologies and industry trends to drive innovation and differentiated solutions.
• Mentor architects and engineering teams on modern architecture practices and technologies.
• Partner with sales, consulting, and delivery teams to create industry-focused solution offerings and GTM assets.
• Lead technical solutioning activities for strategic pursuits, RFPs, proposals, customer presentations, and workshops.
• Conduct solution discovery sessions, effort estimation, architecture assessments, and transformation roadmaps.
• Support business growth through thought leadership, customer engagement, and architecture consulting.

Governance, Security & Optimization

• Architect solutions aligned with cloud governance, security, compliance, and FinOps principles.
• Define architecture standards for identity, networking, observability, resiliency, and operational excellence.
• Ensure solutions are scalable, secure, highly available, and optimized for performance and cost.
• Conduct architecture reviews and provide technical governance throughout delivery.

AI Resiliency & Operational Readiness

• Design resilient AI solutions incorporating high availability, scalability, fault tolerance, and business continuity.
• Define architecture patterns for model resiliency, multi-region deployment, provider independence, and disaster recovery.
• Establish observability frameworks covering AI performance, reliability, model quality, security, compliance, and governance.
• Implement controls for model failure, prompt failures, hallucination risks, data quality issues, latency constraints, quota limitations, and cost optimization.
• Design AI platforms with workload isolation, fallback strategies, retry mechanisms, circuit breakers, and controlled degradation capabilities.

Qualifications

• Experience & Qualifications
• 10–15+ years of experience

Candidates should demonstrate the below listed critical leadership qualities:

Customer Advocacy – Lead with the client's business priorities and build relationships grounded in relevance, trust and measurable value.

Owner's Mindset – Take accountability for the territory, pipeline and results; approach every target account with a clear ambition to build a meaningful Brillio franchise.

Innovation Ethos – Bring new ideas and perspectives that challenge conventional thinking and create reasons for clients to engage.

Execution with Pace – Maintain urgency, discipline and momentum from initial access through contract closure.

Big Picture Thinking – Connect individual opportunities to broader client transformation agendas and Brillio's long term growth strategy.

Winning Through Teams – Mobilize the best of Brillio and its ecosystem to create differentiated propositions and win together.