Top Remote Solutions Architect Jobs in Austin, TX

Advise U.S. government customers on GitLab’s DevSecOps platform throughout the presales cycle. Responsibilities include technical demos, presentations, workshops, proof-of-concept and proof-of-value delivery, proposal and audit support, solution design, customer success planning, stakeholder relationship building, value stream assessments, and communicating customer feedback to internal teams.

Serve as Spellbook’s in-house transactional legal expert and product strategist. Support sales calls, demos, RFPs, training, webinars, CLE sessions, and thought leadership. Translate legal workflows into product requirements, participate in feature discovery and testing, and collaborate with product, engineering, sales, and customers to improve AI-powered contract workflows.

Advises U.S. government customers on GitLab’s DevSecOps platform throughout the sales cycle. Leads technical evaluations, tailored demos, workshops, proofs of concept and value, proposal input, and deployment handoffs. Partners with sales and cross-functional teams to develop account strategies, build customer relationships, conduct value stream assessments, and communicate customer feedback internally. Requires technical pre-sales or consulting experience, GitLab and DevSecOps knowledge, cloud experience, and strong communication skills.

Designs and delivers Salesforce Data 360 architectures that unify customer data and enable activation across Sales, Service, Experience, and Marketing. Leads discovery workshops, solution design, presales strategy, technical delivery, integrations, and architectural decisions. Advises on cloud data platforms, zero-copy patterns, identity resolution, transformations, and AI enablement. Mentors consultants, reviews technical work, manages risks, supports estimation, evaluates talent, and builds trusted client relationships.

The Solutions Architect will lead technical customer engagements for application and software supply chain security solutions. Responsibilities include educating customers, conducting tailored product demonstrations, supporting evaluations and onboarding, collaborating with engineering and product teams, and influencing product development. The role requires presales or customer-facing technical experience, software development and DevOps knowledge, familiarity with application security and cloud-native environments, and the ability to communicate complex solutions throughout enterprise sales cycles.

Supports a portfolio of commercial B2B SaaS customers by monitoring technical health, resolving bounded integration questions, improving platform adoption, and identifying renewal risks. Creates scalable enablement resources, including academy content, help articles, videos, workshops, and webinars. Partners with Customer Success, Product, and Education teams; documents issues, participates in UAT, supports AI-powered compliance workflows, and escalates complex technical problems.

Leads the architecture and execution of large-scale enterprise migrations to Nutanix HCI. Assesses existing infrastructure, designs target environments, develops migration strategies, and guides engineering teams through deployment, testing, cutover, and stabilization. Responsibilities include cluster architecture, capacity planning, virtualization migration, disaster recovery, backup, performance optimization, risk mitigation, technical documentation, and client-facing design reviews. Serves as the senior escalation point for complex infrastructure, storage, networking, and virtualization issues.

Own the technical sales cycle for Databricks consulting engagements, including discovery, architecture design, solution scoping, estimation, proposals, demos, proofs of concept, workshops, and statements of work. Design lakehouse, data engineering, analytics, governance, security, and AI architectures. Partner with sales, Databricks, alliance, and delivery teams while ensuring effective handoffs into implementation.

Designs enterprise and healthcare technology architectures for federal pursuits, primarily supporting the Department of Veterans Affairs. Develops proposal narratives, solution concepts, architecture diagrams, modernization roadmaps, implementation strategies, staffing estimates, and technical differentiators. Collaborates with capture, engineering, delivery, pricing, and executive teams on proposals and presentations. Applies expertise in cloud, data, APIs, interoperability, DevSecOps, cybersecurity, AI, and Generative AI while supporting responsible AI practices and federal healthcare requirements.

Defines and governs enterprise architecture across applications, infrastructure, cloud, integrations, security, and data. Develops technology strategies and roadmaps, leads architecture governance and modernization initiatives, and guides cloud migration, application integration, infrastructure automation, resiliency, and security-by-design. Partners with executives, business stakeholders, product teams, engineers, cybersecurity teams, and vendors to align technology investments with business objectives. Mentors technical teams and communicates architectural decisions across technical and business audiences.

Designs and delivers customer-focused solutions for ExtraHop’s cybersecurity and network visibility platform. Responsibilities include developing GUI tools, scripts, APIs, data visualizations, and automated workflows; analyzing network topologies and application stacks; performing root cause analysis; profiling applications; creating technical collateral; and training customer personnel. The role requires strong networking, application architecture, scripting, communication, and customer engagement skills.

Leads enterprise solution architecture across applications, infrastructure, data, integrations, and processes. Defines technology blueprints, architecture roadmaps, modernization strategies, governance standards, and transformation plans. Partners with executives, business leaders, product owners, and engineering teams to align technology investments with business objectives. Evaluates emerging technologies and vendors, guides complex programs, manages technical debt, develops business cases, and mentors architects while promoting architecture excellence.

Leads cloud, infrastructure, data, security, and AI architecture across AWS, Azure, Kubernetes, and infrastructure-as-code environments. Defines reference architectures, landing zones, data platforms, GenAI production patterns, security controls, cost models, and operational standards. Shapes client engagements, technical scope, and roadmaps; guides delivery through design reviews and mentoring. Requires hands-on production architecture experience, strong security and governance expertise, and the ability to operate effectively amid ambiguity.

Build and optimize conversational AI and agentic virtual agents on Genesys Cloud. Responsibilities include prompt engineering, NLU model development, intent and entity design, production conversation analysis, evaluation framework creation, performance optimization, scripting, and customer collaboration. The role focuses on improving reliability, task completion, edge-case handling, and user experience across LLM and NLU systems.

Designs scalable, secure enterprise architectures for complex cybersecurity and digital trust opportunities. Leads architecture workshops, executive security discussions, integration and automation design, and system validation. Translates customer requirements into product feedback, supports strategic partnerships, and guides responsible AI adoption in security workflows. Creates reusable architecture patterns and enables sales and solutions engineering teams while partnering with product, engineering, innovation, and go-to-market organizations.

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.

Designs, develops, tests, deploys, and supports customized digital and voice bots, generative AI bots, and agentic virtual agents. Leads customer workshops, bot-flow architecture, integrations, routing applications, testing, UAT, delivery, knowledge transfer, and technical consulting. Partners with product owners, Scrum Masters, customers, vendors, and technical teams while leading SS&AI initiatives and providing estimates, training, and feedback on Genesys products and APIs.

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.

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.