Top Solutions Architect Jobs

Designs and integrates secure intelligence systems for Department of War customers, translating IT needs into cloud migration, modernization, and advanced technology solutions. Responsibilities include network and systems architecture, AWS microservices, DevSecOps and IaC automation in disconnected environments, technical delivery leadership, stakeholder collaboration, and mentoring developers. The role requires TS/SCI clearance with polygraph, relevant software and network architecture experience, a bachelor's degree, and DoD IAT Level II certification.

Define the technology vision and enterprise architecture for Citi’s Trade Finance platforms. Lead architecture decisions for high-volume processing systems, guide cloud, PaaS, and AI-native modernization, evaluate vendors, influence product roadmaps, and partner with senior business, product, operations, and technology stakeholders. Strengthen cybersecurity controls for digital asset processing, manage architecture-related risks, and shape future-state technology strategies.

Leads enterprise omnichannel commerce and order management architecture from strategy through production. Designs OMS integrations, data flows, fulfillment, inventory, returns, and customer service solutions across digital, retail, marketplace, and B2B channels. Advises clients and executives, leads workshops, guides technical delivery, mentors engineering teams, supports proposals, and establishes standards for scalable, secure, reliable enterprise systems.

Designs and supports Microsoft Power Platform applications for NIH research workflows, clinical protocol data, reporting, and analytics. Develops architectural diagrams, prototypes, dashboards, and scalable solutions while applying Agile practices, testing, security, accessibility, and modernization strategies. Advises executives and technical stakeholders on technology trends, process improvement, strategic planning, governance, risk, and emerging AI and cybersecurity capabilities. Coordinates project plans, working groups, training, documentation, and ongoing operational support.

Own the full lifecycle of customer solutions, from discovery with school leaders through requirements, prototyping, agentic workflows, data pipelines, evaluations, production deployment, and handoff. Partner with Sales to support deals, translate stakeholder needs into shippable solutions, make technical architecture decisions, manage timelines, and collaborate with Product, Engineering, and DevOps. The role also involves mentoring engineers and working with messy education data using Snowflake and modern data engineering practices.

Build technical capabilities across public-sector partners, drive partner-sourced pipeline, support presales opportunities, lead labs and proofs of concept, and co-create repeatable Elastic solutions. The role includes developing partner engagement plans, delivering enablement and certification roadmaps, architecting reference solutions, creating demos and sales collateral, supporting deployments, and building relationships with technical stakeholders. Approximately 30% travel is required, and the candidate must be located in the Washington, DC metro area.

Builds technical capability and partner-sourced pipeline across systems integrators, resellers, MSSPs, and cloud providers. Responsibilities include partner technical enablement, sales playbooks, solution architecture, proofs of concept, workshops, reference architectures, demos, technical content, and deployment support. The role requires presales software experience, cloud and security or observability knowledge, strong communication, commercial fluency, and approximately 30% travel within a partner-facing public-sector environment.

Lead systems engineering for large-scale naval communications programmes across lifecycle phases: requirements, solution architecture, design, IVVQ, deployment and through-life support. Provide technical leadership, manage multifunctional teams, maintain design baselines, mitigate technical risks, and produce design validation and certification documentation.

Build and manage Microsoft Copilot Studio agents, Power Automate workflows, and low-code AI solutions for business teams. Translate business needs into technical designs, integrate approved data sources and APIs, test agent quality and security, and maintain deployments. Lead workshops, coaching, AI champion programs, and adoption efforts. Partner with HR, IT, business leaders, and Security on governance, access controls, ownership, monitoring, cost management, and continuous improvement.

Designs, develops, tests, and delivers customized digital bots, generative AI bots, and agentic virtual agents for enterprise customers. Responsibilities include bot-flow architecture, routing application development, integrations, customer workshops, effort estimation, Agile leadership, testing, UAT and QA support, technical consulting, solution demonstrations, training, knowledge transfer, and leading delivery. The role requires extensive CCaaS, bot, webhook, IVR, speech recognition, and customer-facing consulting experience.

Serve as the technical integration expert across pre-sales and post-sales teams. Discover customer ERP, EAM, CMMS, and other system requirements; create integration scopes, data-flow diagrams, architectures, and effort estimates; demonstrate solutions and proof-of-concepts; assess feasibility and risk; develop reusable integration patterns; and ensure smooth handoffs to implementation teams.

Serve as the pre-sales integration architect, translating customer ERP, EAM, CMMS, and other enterprise-system requirements into scoped integration blueprints. Lead technical discovery, create data-flow diagrams and estimates, demonstrate integrations, identify deal risks, develop reusable integration patterns, and coordinate with Sales, Product, Engineering, Legal, and post-sales teams to ensure successful implementation handoffs.

Owns pre-sales integration architecture by leading technical discovery, assessing ERP, EAM, CMMS, and other enterprise systems, and translating requirements into scoped integration blueprints. Creates data-flow diagrams, effort estimates, and repeatable integration patterns; supports deal reviews, pricing, demos, and proof-of-concepts. Collaborates with Sales, Product, Engineering, Legal, and post-sales Integrations to ensure technical feasibility and effective implementation handoffs.

Own pre-sales integration architecture by leading technical discovery, scoping ERP, CMMS, EAM, and enterprise-system integrations, producing data-flow designs and effort estimates, and supporting demos and proofs of concept. Partner with Sales, post-sales integrations, Product, Engineering, and Legal to assess feasibility, identify risks, build reusable integration patterns, and create authoritative implementation handoffs.

Leads end-to-end HR technology architecture, including solution design, buy-versus-build analysis, architecture reviews, proofs of concept, integration, security, cloud, and application optimization. Establishes architectural vision, roadmaps, governance, and technology standards while advising development teams, evaluating emerging technologies, reducing technical debt, and collaborating with business and technology stakeholders. The role also supports AI-enabled applications, SaaS platforms, modernization, and professional development across the architecture team.

Develops and demonstrates NVIDIA networking solutions for AI/ML and HPC customers. Provides technical leadership on complex AI infrastructure, customer performance issues, proof-of-concepts, debugging, feature requests, and co-engineering programs. Partners with sales and developer relations teams to identify opportunities, delivers technical presentations and workshops, and supports networking, compute, storage, GPU, and cloud infrastructure solutions.

Leads the strategy and evolution of clinical data, analytics, reporting, and cloud platforms supporting clinical trials and portfolio decisions. Develops data products, semantic models, dashboards, and self-service analytics; applies CDISC standards; drives platform modernization, migration, interoperability, governance, validation, quality, and regulatory compliance. Partners with clinical, IT, architecture, and business teams while overseeing vendors, investments, and solution delivery.

Leads enterprise architecture strategy and solution design across systems, cloud, Microsoft 365, and data center environments. Defines architecture standards, governance processes, design patterns, and technology roadmaps. Oversees architecture assessments, technology evaluations, modernization, and transformation programs while aligning technology with business capabilities. Provides architectural guidance for major initiatives, supports cybersecurity and compliance efforts, and mentors architects and engineering teams. Requires extensive enterprise infrastructure and cloud architecture experience, with preferred Azure and Microsoft certifications.

Designs, provisions, secures, automates, and operates Azure cloud infrastructure and enterprise platforms. Responsibilities include managing networking, identity, compute, storage, monitoring, backup, availability, governance, and security controls; automating deployments and operational tasks; troubleshooting incidents and performance issues; and maintaining documentation, runbooks, architecture standards, and change records while collaborating across engineering and operations teams.

Designs, provisions, secures, automates, and operates AWS cloud infrastructure and enterprise platforms. Responsibilities include implementing IAM, networking, monitoring, backup, availability, and security controls; automating deployments and provisioning; troubleshooting incidents, vulnerabilities, capacity, and performance issues; and maintaining technical documentation, runbooks, diagrams, and standards. The role collaborates with engineering and operations teams to deliver scalable, reliable, and maintainable cloud solutions.

Designs technology solutions for complex client and mission-partner communications challenges. Creates architecture products, design specifications, requirements, scripts, and work plans; guides cross-functional teams through implementation, cloud migration, advanced technology integration, and legacy modernization. Requires expertise in Pegasus and FVEY communications systems, Secret clearance, and a bachelor's degree. Mentors developers and may benefit from ITIL v4 or PMP certification.

Client-facing solutions architect who designs and delivers scalable cloud, data, and AI-enabled solutions. Leads end-to-end projects, mentors teams, ensures scalable/resilient architectures, modernizes data ecosystems, drives delivery methodology, and develops business cases while collaborating globally with clients and ZS teams.

Design, build, and operationalize secure Generative AI and machine learning solutions, including Gemini and Vertex AI applications, RAG pipelines, APIs, microservices, and private LLM deployments. Architect zero-trust, containerized AI environments and implement data protection, access controls, encryption, and threat safeguards. Ensure compliance with CMMC, NIST standards, ITAR, EAR, and FedRAMP requirements while maintaining governance artifacts. Partner with IT, cybersecurity, engineering, and business teams to identify use cases, provide technical guidance, and enable safe enterprise AI adoption.

Leads customer-specific AI and CCaaS solution architecture for complex, globally distributed environments. Designs integrations, documents current and future-state architectures, establishes organization-wide standards, and advises customer leadership on technology roadmaps, value realization, ROI, scalability, security, and regulatory requirements. Collaborates with sales, engineering, product, delivery, customer success, and third-party providers throughout the customer lifecycle, from evaluation through deployment, adoption, and optimization.

Leads architecture and software engineering for cloud-based applications within JPMorgan Chase’s CTO-IAM organization. Defines target-state architecture, evaluates emerging technologies and vendors, develops and reviews secure production code, troubleshoots systems, and improves operational stability. Establishes reusable AI-enabled engineering patterns and governance across SDLC and CI/CD practices while ensuring resiliency, security, traceability, and auditability.