Mod Solution Architect

Description

The company designs, builds, runs and modernizes the mission-critical technology systems that organizations rely on every day.

The role sits in the Global Modernization Center of Excellence and combines hands-on building with client-facing leadership on agentic AI and application modernization.

Large enterprises run decades of business-critical applications, and agentic AI gives them a chance to rebuild those systems. You will work with Fortune 100 clients across industries.

Success looks like clients treating you as a trusted advisor on complex modernization decisions, your pilots and MVPs reaching production with measurable value, your estimates and SOWs holding up in delivery, and you becoming a go-to voice in the COE who shares reusable patterns and assets.

Responsibilities

• Take a client's hardest modernization problem, turn unclear needs into a clear architecture and roadmap, and build a working demo, pilot or MVP that proves the value.
• Stay on the engagement through delivery, guiding delivery teams and advising senior executives until the agreed outcomes are achieved.
• Work across the full range, from focused engineering pilots to large agentic factories.
• Build production-ready agentic AI demos, pilots and reference implementations, not slideware.
• Use the company's agentic framework, AI intellectual property and proven modernization offerings rather than starting from a blank page.
• Own a solution from scoping, estimates and SOW through delivery, and see your designs go live.
• Run client discovery and AI readiness assessments to find high-value application modernization and agentic AI use cases.
• Translate vague business needs into concrete technical architectures and implementation roadmaps.
• Lead workshops, design sessions and architecture reviews that align business and technical stakeholders.
• Advise senior client leaders on modernization and agentic AI adoption, using solution narratives that work for both executives and engineers.
• Design target-state cloud-native and AI-native architectures built on microservices, APIs, containers and cloud-native patterns to replace legacy and monolithic applications.
• Combine application, infrastructure, agentic SDLC and platform engineering skills into modernization solutions spanning public and private cloud.
• Build agentic proofs of concept, pilots, MVPs and reference implementations that demonstrate measurable business value.
• Define technical scope, PoC framing, assumptions, dependencies and baselines for each solution.
• Estimate effort, cost, risk, timeline and team makeup using 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 that proposed solutions are feasible and deliverable.
• Work with sales, consulting, legal, delivery, engineering and COE teams to set up sound, deliverable engagements.
• Provide technical leadership from pursuit through implementation to keep the solution faithful to its design and the client successful.
• Bring in cloud, mainframe, network and edge specialists when a solution crosses domains.
• Keep up with advances in AI, application and cloud technologies 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 focused on application architecture and modernization.
• Deep expertise in at least one of the five specialization areas listed below, with an application-led view of the others.
• At least 2 years of hands-on experience delivering production-grade agentic AI applications.
• Advanced expertise with open-source agentic frameworks such as LangChain/LangGraph, AutoGen, CrewAI, Semantic Kernel or equivalent.
• 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 in 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 and commitment to your own development. You put customer success first and work openly, collaboratively and inclusively with sales, delivery, engineering and COE teams. If you meet most of the requirements and the work interests you, you are encouraged to apply.
• Specialization, Apps on Public Cloud (AWS, GCP or Microsoft Azure): design and deliver application modernization and agentic AI solutions on a leading hyperscaler. Helpful certifications: AWS Certified Solutions Architect - Professional, Google Cloud Professional Cloud Architect or Azure Solutions Architect Expert.
• Specialization, Edge & Software-Defined Networks: modernize networks with agentic AI, SDN, SD-WAN, SASE and zero-trust patterns for autonomous, resilient and secure connectivity, 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.
• Specialization, Mainframe Modernization: modernize IBM Z and z/OS workloads through migration, integration, API enablement and adoption of 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.
• Specialization, Cloud Platform Engineering: build internal developer platforms and standardized golden paths, and apply CI/CD, DevOps and DevSecOps practices to 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.
• Specialization, Private Cloud: modernize applications and workloads 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.

Conditions

Full-time schedule. U.S. pay range: $179,760 to $341,520. Actual pay may vary by location, job-related skills and experience. Part-time pay is adjusted accordingly, and pay will never fall below any applicable state, city or local minimum wage.

Different pay ranges apply in these locations: California (San Francisco Bay Area) $215,640 to $409,800; California (all other) $197,640 to $375,600; Colorado $179,760 to $341,520; Massachusetts $179,760 to $375,600; New York City $215,640 to $409,800; Washington $197,640 to $375,600; Washington DC $197,640 to $375,600.

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

Applications are reviewed on a rolling basis.

The company does not currently require COVID-19 vaccination, but a client, customer or partner site may require proof of vaccination under its own policy, and you may request a medical or religious accommodation before employment starts if you believe you are eligible.

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

Benefits

• Eligible for the company's discretionary annual bonus, based on performance and subject to the applicable plan terms. Sales-commission-eligible roles take a sales commission plan in place of the bonus.
• Comprehensive benefits including medical and dental coverage, disability cover, retirement benefits, paid leave and paid time off, designed to offer choice and support you and your family.
• Ongoing learning programs that give access to industry certifications from providers including Microsoft, Google, Amazon and Skillsoft. Certifications are valued, and the company will support you in earning one if you do not yet hold it.
• A company-wide volunteering and giving platform to donate, start fundraisers, volunteer and search over 2 million non-profit organizations.