Top Remote Solutions Engineer Jobs

Design and validate partner reference architectures, enable partner and field teams, run partner-sourced POCs and demos, stand up partner Centers of Excellence, and cultivate technical and executive relationships with strategic GPU and cloud partners to scale channel-driven pipeline.

Serve as a technical pre-sales advisor for AEC clients: lead discovery, design high-level integration and automation solutions, create proposals and architectures, communicate with executives, and hand off feasible solutions to delivery teams while identifying expansion opportunities.

Lead technical pre-sales activities: discover customer needs, deliver tailored demos/POCs, respond to RFPs/RFIs, own complex technical deals, mentor SEs, liaise with product and support, and shape product roadmap through customer feedback.

Serve as the primary security subject-matter expert in sales: lead technical discovery, design/customize security architectures, run demos and PoCs, support RFPs, advise customers and partners, collaborate with sales to qualify opportunities and close deals, and feed product and market intelligence back to engineering and product teams.

The Senior Principal Energy Storage DevSecOps Solutions Engineer will design and operate backend services, write production code in Python, and manage cloud infrastructure in AWS, emphasizing automated workflows and CI/CD pipelines.

Act as the technical front line for developers on Solana: troubleshoot and reproduce issues, ship code samples, SDKs, demos, docs, and automation, collaborate with engineering on fixes and prototypes, and support developers in Discord and Telegram to drive product improvements.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.

As a Software Engineer at Canonical, you will collaborate globally to shape open-source software operations, focusing on Python and Golang development, enhance DevOps workflows, and improve infrastructure operations for cloud computing solutions.

Embed with customers to learn their workflows, redesign and build production GenAI/LLM systems on AWS, ship and operate code, evaluate non-deterministic models, and own business outcomes.

Senior engineer responsible for designing site-specific trench/excavation shoring systems, producing sealed plans and calculations, ensuring compliance with engineering codes and OSHA standards, estimating project costs, supporting sales, and maintaining multi-state professional licensure. Uses AutoCAD, Mathcad, and MS Office.

Lead design, build, and scaling of Agentic AI and industry-specific solution accelerators on Genesys Cloud. Develop reusable multi-agent workflows, RAG-based knowledge orchestration, integrations with enterprise systems, prototypes, and production-grade AI applications. Provide technical leadership, mentor engineers, collaborate with product and industry SMEs, and deliver repeatable solution blueprints to accelerate deployment and time-to-value.

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.

Serve as Tier 3 escalation for an MSP-managed, security-focused practice supporting life sciences clients. Design Microsoft-centric secure architectures (Azure, Microsoft 365, identity, endpoints), lead migrations/onboarding, mentor engineers, own root-cause analysis, implement security controls and compliance alignment, and build automation and AI-assisted tooling (PowerShell, Claude) to reduce manual work.

Drive enterprise adoption of Generative AI and LLMs by discovering and prioritizing use cases, enabling teams via training and coaching, configuring and supporting AI workflows and agents, collaborating with technical and compliance teams, and establishing governance and success metrics.

Lead federal pre-sales engagements: deliver demos, design and run POCs in classified environments, respond to RFPs/RFIs, advise on FedRAMP/NIST compliance, and partner with sales, product, and post-sales to drive federal customer adoption.

Design and deliver custom liquid cooling and piping solutions from quote to production. Create rapid concept layouts, refine manufacturable designs, engage suppliers, oversee testing and validation, manage BOMs/PLM documentation, and integrate lessons learned into NPDI standards.

As an Applied AI Engineer, you will enhance customer solutions using AI and machine learning, collaborating closely with clients to design effective AI implementations and drive business impact.

Lead architect and hands-on builder for AI solutions: evaluate feasibility and data readiness, translate business problems into technical and algorithmic requirements, design high-level architectures and prototypes, drive PoC to production handover, set MLOps/API standards, mentor team, and align North American implementations with European enterprise governance.

Work with customers to discover high-value AI use cases, design and prototype LLM- and agent-based solutions, build demos and pilots, and support transition to production. Provide technical architecture, documentation, training, governance guidance, and hands-on implementation support across integrations, automation, and evaluation to enable secure, explainable, and measurable AI adoption.

Senior staff engineer role owning platform and solution architecture across cloud infrastructure, Kubernetes, GitOps, CI/CD, observability, and data pipelines. Build reusable modules, improve developer experience, secure cloud patterns, troubleshoot production systems, mentor engineers, and partner with product and data teams to deliver scalable, reliable platform capabilities.

Own delivery and outcomes for enterprise finance accounts: build reusable semantic finance models, integrate ERP/planning/warehouse sources, reconcile data, run customer sessions with finance teams, and convert implementations into product improvements and templates.

Lead design and implementation of cloud-first, AI-integrated full-stack applications on GCP. Drive rapid prototyping and MVPs, mentor developers, define architecture, maintain CI/CD pipelines, and collaborate cross-functionally to deliver production-ready solutions.

Partner with Sales to design and demo AI-powered, data-driven solutions for life sciences clients using Komodo's Healthcare Map. Run live no-code analyses, build reusable demo assets, navigate AI governance and procurement, quantify ROI, mentor junior SEs, and feed product/AI roadmap input.

Develop and optimize commercial quantum applications on D-Wave systems (primarily Python). Build custom solutions for government customers, implement complex algorithms, own codebases, collaborate with stakeholders, ensure project delivery, and become expert in D-Wave tools (LEAP, Ocean). Must work with federal agencies and meet Top Secret clearance requirements.

Provide senior-level data engineering for analytics: resolve complex technical issues, build decision-support reports and dashboards, lead projects, prepare and integrate data, coach staff, and ensure high-quality analytics to support academic, research, and healthcare goals.