Top Remote Solutions Architect Jobs in Chicago, IL

Lead client implementations and integrations for fraud and compliance products. Translate technical and business requirements into scalable solutions, manage onboarding and implementation projects, own API and SDK documentation, analyze SQL queries and JSON payloads, and collaborate with clients and internal teams to deliver successful deployments. Provide product feedback and support multiple projects while managing timelines, risks, quality, and deliverables.

Leads enterprise-scale Ignition SCADA architecture across multiple industrial sites. Defines reference architectures, deployment templates, integrations, networking and security standards, high availability, commissioning, and production-readiness practices. Assesses plant environments, integrates PLCs and industrial protocols, resolves complex technical issues, oversees deployment teams, documents standards, mentors engineers, and develops the long-term OT/SCADA technology roadmap.

Designs large-scale data platforms and distributed systems, develops automated data pipelines, establishes architecture standards, and improves platform scalability, resiliency, performance, and cost efficiency. Partners with engineering, product, security, cloud, and architecture teams to modernize workflows and establish governance, security, and observability practices. Leads architecture reviews, resolves technical decisions, mentors technical staff, and communicates strategy and risk to senior leadership.

Drive enterprise automation initiatives from opportunity identification through delivery and optimization. Partner with business leaders, engineering, data, security, product teams, RPA specialists, AI strategists, and vendors to prioritize and implement scalable solutions. Manage the automation portfolio, vendor relationships, discovery and intake processes, delivery alignment, and performance metrics. Evaluate AI-supported process improvements, ensure compliance and operational readiness, and deliver measurable gains in efficiency, quality, cycle time, and stakeholder satisfaction.

Serve as the senior technical authority for global public cloud architecture across strategic customer engagements. Define reference architectures, standards, guardrails, and cloud service offerings; lead complex multi-region and multi-cloud designs; advise executive stakeholders; partner with Sales, Product, Engineering, Support, and Customer Success; build reusable automation and technical IP; mentor architects; establish competency standards; and influence product roadmaps and delivery methodology.

Partner with Sales and customers to discover requirements, design AI inference solutions, lead technical demos, scope deployments, run benchmarks, and execute proofs of concept. Own repeatable deployment playbooks across language, image, video, embedding, and voice models while advising on runtime, GPU, latency, and throughput tradeoffs. Coordinate Sales, Engineering, and Forward Deployed Engineering stakeholders to deliver customer implementations.

Leads technical discovery and designs secure, scalable, supportable technology solutions for clients in a managed service provider environment. Develops architectures, Statements of Work, solution diagrams, estimates, bills of materials, and proposals; partners with sales, account management, engineering, project management, procurement, vendors, and clients. Ensures delivery readiness through architecture reviews, documentation, structured handoffs, risk mitigation, and continuous improvement of standards and service offerings.

Leads technical discovery, demonstrations, solution architecture, workshops, and proofs of value for GitLab’s AI-powered DevSecOps platform. Advises customers on software development, CI/CD, security, cloud practices, and digital transformation. Partners with Account Executives to support customer acquisition and expansion, builds trusted technical relationships, represents customer needs internally, and creates reusable technical guidance and collateral.

Lead pre-sales technical engagements to design and optimize scalable cloud lakehouse data platforms (Snowflake/Databricks). Provide architecture reviews, ETL/ELT pipeline design, governance and AI-ready data foundations, support services sales, and translate technical tradeoffs into actionable recommendations for engineering and executive stakeholders.

Lead pre-sales data engineering engagements to design and implement scalable lakehouse data platforms (Snowflake/Databricks). Advise customers on data strategy, governance, pipelines, AI-ready foundations, migrations, and translate technical solutions into business outcomes while supporting sales and partner enablement.

Supports customer-facing technical solution architecture for communications service provider opportunities. Responsibilities include discovery workshops, requirements gathering, hybrid cloud and on-premise architecture, proof-of-value engagements, demonstrations, partner integrations, workload testing, and production planning. The role collaborates with sales, delivery, engineering, product, and customer teams while developing expertise in analytics, telemetry, cloud data platforms, and AI-enabled solutions.

Lead strategic discovery and design scalable healthcare interoperability and workflow solutions for payer, provider, and Health IT organizations. Translate business objectives into technical architectures, integration strategies, and workflow models using FHIR, APIs, and automation. Present value and ROI narratives to executive and technical stakeholders, partner with sales and delivery teams to accelerate technical wins, and advise customers on healthcare technology transformation.

Lead technical integrations of Cedar's platform with client healthcare systems: discover requirements, map data formats, validate data/UAT, communicate technical security and authentication needs, manage complex projects, and represent customer needs to engineering and product teams.

Design, implement, and optimize statewide PeopleSoft Financials (9.2) solutions. Lead architecture, integrations, module configuration, testing (SIT/UAT), performance tuning, stakeholder collaboration, mentorship, and technical project leadership to meet state requirements.

Designs and delivers Databricks-based data engineering, analytics, AI, and ML solutions for financial services clients. Combines hands-on architecture and implementation with presales support, customer presentations, project oversight, data analysis, quality assurance, documentation, and team mentoring. Requires expertise in modern data platforms, cloud environments, programming, SQL, data integration, governance, security, and scalable production delivery.

Own the technical side of deal progression for airline deployments: qualify opportunities, run demos and POCs, author integration and deployment architectures (PSS, APIs, data feeds, DNS, identity, networking), respond to RFPs/security questionnaires, scope SOWs and NFRs, and build reusable demo/reference assets to drive adoption and expansion while liaising between sales, engineering, and customers.

Design and implement scalable, secure enterprise data solutions on Databricks and Azure using Delta Lake and Medallion Architecture. Lead and mentor data engineering teams; define integration patterns, governance, security (Unity Catalog, RBAC, masking, row/column-level security), and CI/CD/IaC practices. Ensure data quality, lineage, monitoring, and optimize Spark/Delta workloads for performance and cost while aligning solutions with business needs.

Lead customer engagements combining hands-on data architecture and engineering with presales support. Design, build, deploy, test, and troubleshoot Databricks-based data, AI, ML, and business intelligence solutions. Advise clients on governance, security, quality, integration, and scalability; oversee projects, present solutions, document architectures, mentor engineering teams, and support production deployments. Financial services and banking experience are preferred.

Serve as the technical liaison between customers and engineering teams. Guide customer development teams through onboarding, product demonstrations, implementation architecture, troubleshooting, and feature requests. Provide technical support, debug integrations, recommend solutions, create documentation, manage escalations, and communicate customer feedback to product and engineering. The role requires software development or technical support experience, programming knowledge, strong communication, and the ability to explain complex technical concepts to technical and non-technical audiences.

Design and implement end-to-end cloud data solutions, lead or mentor engineering teams, ensure performance, security, and scalability, integrate diverse data sources, write and optimize SQL, program in Java/Python/Scala, produce presentations and detailed solution documentation, and engage directly with clients to deliver production-ready systems.

Designs scalable, secure, and cost-effective enterprise solutions spanning software, hardware, infrastructure, data, security, integrations, and cloud platforms. The role defines architectural standards, evaluates technologies and vendors, guides Agile teams, optimizes performance and cloud costs, ensures compliance, and collaborates with product stakeholders. It also uses data queries, visualizations, and reporting to inform product functionality.

Leads enterprise solution architecture and technical strategy for SAIC’s Air Force, Space and Intelligence business. Evaluates emerging technologies, shapes customer and acquisition strategies, guides capture and proposal efforts, develops architectures and technical artifacts, supports investments and partnerships, and integrates complex technologies across federal missions. The role also briefs senior government stakeholders, drives innovation and modernization, reviews proposal quality, and mentors solution architects.

Designs and demonstrates computer vision solutions for customer opportunities, including model selection, data strategy, evaluation, edge deployment, and business-case development. The role leads discovery, high-level architecture, proofs of concept, demos, partner engagement, and technical enablement. It requires hands-on expertise across classical computer vision, deep learning, video intelligence, vision language models, model lifecycle management, and edge optimization, plus strong customer-facing and commercial communication skills.

Work directly with customers to design, prototype, deploy, and troubleshoot production systems using Restate’s durable execution infrastructure. Responsibilities include architecture discussions, distributed systems problem-solving, code development, proof-of-concepts, integrations, production operations, technical evangelism, and translating recurring customer challenges into tooling, documentation, and product improvements.

Lead client-facing data and analytics engagements from strategy through implementation. Design scalable cloud data platforms using Snowflake, Databricks, dbt, and Sigma; implement AI solutions, governance, metadata management, ETL/ELT pipelines, data lakes, warehouses, and self-service analytics. Manage cross-functional technical teams, mentor staff, oversee delivery, support business development, and advise enterprise clients on aligning data solutions with strategic objectives.