Public Cloud Solutions Architect

Description

The company designs, builds, manages and modernizes mission-critical technology systems that people rely on every day.

The company works with Fortune 100 clients and is redefining modernization through AI-led transformation, agentic platforms and repeatable engineering patterns.

This role sits in the Global Modernization Center of Excellence, a team that works across industries with global delivery and engineering teams.

Responsibilities

• Run client discovery and AI readiness assessments to find high-value application modernization and agentic AI use cases.
• Turn unclear business needs into clear technical architectures and implementation roadmaps.
• Lead workshops, design sessions and architecture reviews that get business and technical stakeholders aligned.
• Advise senior client leaders on modernization and agentic AI adoption, with solution narratives for both executives and engineers.
• Design target-state cloud-native and AI-native architectures using microservices, APIs, containers and cloud-native patterns to modernize legacy and monolithic applications.
• Define modernization solutions that combine application, infrastructure, agentic SDLC and platform engineering across public and private cloud.
• Build agentic proofs of concept, pilots, MVPs and reference implementations that show measurable business value.
• Own the technical solution definition, including scope, PoC framing, assumptions, dependencies and baselines.
• Estimate effort, cost, risk, timeline and team makeup with the company's solution calculator and related tools.
• Write SOWs, RFP responses and technical proposal content, and contribute to commercial inputs.
• Lead technical due diligence to confirm proposed solutions are feasible and deliverable.
• Work with sales, consulting, legal, delivery, engineering and COE teams to set up sound engagements that can be delivered.
• Provide technical leadership from pursuit through implementation to protect solution fidelity and client success.
• Bring in Cloud, Mainframe, Network & Edge and other specialists when a solution spans multiple domains.
• Stay with the work from scoping through delivery, guiding delivery teams until promised outcomes are reached and designs go live.
• Keep up with AI, application and cloud developments through ongoing learning and certification.

Requirements

• Bachelor's degree in computer science, engineering or a comparable discipline, or equivalent practical experience.
• At least 8 years of hands-on experience in solution architecture, software engineering or technical consulting centered on application architecture and modernization.
• Deep expertise in at least one of five areas: Apps on Public Cloud (AWS, GCP or Microsoft Azure), Edge & Software-Defined Networks, Mainframe Modernization, Cloud Platform Engineering or Private Cloud, with an application-led view of the others.
• At least 2 years of hands-on experience delivering production-grade agentic AI applications.
• Advanced skill with open-source agentic frameworks such as LangChain/LangGraph, AutoGen, CrewAI, Semantic Kernel or equivalents.
• Deep Python skills. TypeScript/Node.js experience is a plus.
• Experience connecting AI agents to enterprise systems such as CRMs, ERPs, APIs and data lakes.
• Experience with vector databases, embedding pipelines and practical RAG architectures.
• Strong client advisory, pre-sales, live-demo and technical storytelling skills for engineering and executive audiences.
• Working knowledge of responsible AI, data privacy and enterprise security standards, applied across pursuit and delivery.
• Background in engineering consulting or professional services.
• Experience contributing to large-scale modernization or transformation programs.
• Experience in both consultative solutioning and delivery settings.
• Industry experience in Financial Services, Healthcare, Telecommunications, Manufacturing or the Public Sector.
• Familiarity with enterprise AI governance and AI risk-management frameworks.
• A growth mindset, a commitment to your own development, a customer-first approach, and an open, collaborative and inclusive way of working. Meeting most of the requirements and being excited by the work is enough to apply.
• Apps on Public Cloud: design and implement cloud-native and AI-native applications on AWS, GCP or Azure. Helpful certifications: AWS Certified Solutions Architect (Professional), Google Cloud Professional Cloud Architect or Azure Solutions Architect Expert.
• Edge & Software-Defined Networks: design agentic AI network modernization using SDN, SD-WAN, SASE, zero-trust and automation, with expertise in Palo Alto, Zscaler, Illumio or Guardicore and strong DevNetOps and DevSecOps skills. Helpful certifications: CCNP Enterprise, AWS Certified Advanced Networking (Specialty), Azure Network Engineer Associate (AZ-700) or Google Cloud Professional Cloud Network Engineer.
• Mainframe Modernization: design modernization for IBM Z and z/OS workloads, including migration, integration, API enablement and modern application platforms. Helpful certifications: IBM Z Xplore or IBM Z Skills badges covering z/OS and IBM Z Software, or an IBM or Broadcom Mainframe Modernization or zCloud Program certification.
• Cloud Platform Engineering: design internal developer platforms and standardized golden paths that speed up secure application delivery. Helpful certifications: Certified Kubernetes Administrator (CKA), Azure DevOps Engineer Expert (AZ-400), AWS Certified DevOps Engineer (Professional) or FinOps Certified Practitioner.
• Private Cloud: design application and workload modernization for private-cloud and data-center environments using containers, Kubernetes, APIs, automation and cloud-native operating models. Helpful certifications: CKA, AZ-400, AWS Certified DevOps Engineer (Professional), FinOps Certified Practitioner or a comparable private-cloud platform credential.
• Certifications are valued, and if you do not hold one yet, the company will support you in earning it.

Conditions

Travel globally at least 25% of the time to meet clients, lead workshops and work alongside delivery teams.

US full-time base pay range is $143,640 to $273,000. Actual pay depends on geography, job-related skills and experience. Part-time pay is adjusted accordingly.

Location-specific ranges: California San Francisco Bay Area $172,440 to $327,600; other California areas $158,040 to $300,360; Colorado $143,640 to $273,000; Massachusetts $143,640 to $300,360; New York City $172,440 to $327,600; Washington state and Washington DC $158,040 to $300,360.

Pay will never fall below any applicable state, city or local minimum wage.

Applications are reviewed on a rolling basis.

The company does not currently require employees to be fully vaccinated against COVID-19, but you may need to show proof if placed at a client, customer or partner site, and medical or religious accommodation requests can be made before you start.

The company welcomes people of all cultures, backgrounds and experiences.

Benefits

• Eligible for a discretionary annual bonus based on performance and the company's applicable plans. Sales commission eligible roles take part in a commission plan instead of the annual bonus.
• Comprehensive benefits including medical and dental coverage, disability, retirement benefits, paid leave and paid time off.
• Learning programs with certifications from Microsoft, Google, Amazon, Skillsoft and many others.
• A company-wide volunteering and giving platform to donate, start fundraisers, volunteer and search over 2 million nonprofit organizations.