Solutions Architecture

Bridge between business and technical teams to identify AI use cases in utilities, then design and implement production solutions in rapid cycles. Success is measured by actual adoption and usage, not deployment.

Bridge between retail/e-commerce clients and AI solutions, conducting discovery sessions to validate use cases, designing agentic AI architectures, overseeing implementation with minimal hands-on coding, and ensuring successful adoption and handoff to customers.

Bridge technical teams with customers and operations by owning complex projects end-to-end, translating technical requirements into actionable solutions, and ensuring successful implementation and support across stakeholders.

Deploy AI manufacturing software at customer sites, owning the end-to-end implementation from initial go-live through full rollout across plants. Balance technical understanding with stakeholder management across engineering, operations, and executive teams.

Set technical direction and architecture for complex software projects, coordinate engineering teams, and translate requirements into design decisions—primarily a technical leadership role without people management or coding responsibilities.

Bridge between Qorelo's AI platform and enterprise customers undergoing SAP transformations. You'll conduct workshops, integrate the platform into customer systems, demonstrate value on real data, and feedback learnings to the engineering team.

Design and automate business processes using low-code/no-code tools like n8n, Zapier, and Airtable, with emphasis on system integration, CRM management, and process documentation rather than traditional software development.

Design and automate business processes using no-code/low-code platforms (n8n, Zapier, Make), manage Airtable databases and CRM systems, and implement workflow solutions that connect different business tools and systems together.

Build and automate business processes using no-code/low-code tools like Zapier, Make, and n8n; manage CRM systems and databases; design workflows that connect different tools together without traditional coding.

Design and automate business processes using no-code/low-code platforms like n8n, Zapier, and Make; manage CRM systems and build data workflows to improve operational efficiency rather than writing traditional code.

Design and automate business processes using no-code/low-code platforms (Zapier, Make, n8n, Airtable, HubSpot), focusing on system integration, data workflows, and process documentation rather than traditional coding.

Design and architect AI/ML systems for enterprise customers, lead proof-of-concepts and MVPs, and act as technical advisor on AI strategy—combining deep technical knowledge with customer-facing strategy and sales enablement rather than hands-on coding.

Design and guide enterprise technology transformations for financial services clients, balancing hands-on solution architecture work with stakeholder communication, team leadership, and strategic decision-making across business, data, and technology domains.

Design secure architectural patterns and security strategies for an enterprise AI platform; guide engineering teams on implementation rather than writing code yourself. Mentor and drive security best practices across the organization.

Lead the technical delivery and customer success of robotic systems post-sale, owning site surveys, system design, integration planning, and commissioning across major enterprise accounts. Bridge engineering expertise with customer operations to ensure deployed solutions meet performance promises.

Bridge technical and business needs by designing ClickHouse solutions for enterprise clients, conducting POCs, and driving adoption through customer engagement and strategic advisory work.

Lead a team of Legal Engineers who bridge software engineering and legal domain expertise, working with enterprise legal departments to implement AI-powered legal workflows and solve complex operational problems using technology.

Lead a team of Legal Engineers who bridge software engineering and legal domain expertise, helping law firms implement and optimize AI-native legal workflows. Likely involves stakeholder management, technical strategy, and translating between engineering and legal customer needs rather than hands-on coding.

Deploy and customize AI/procurement software directly in customer environments, combining technical implementation with stakeholder management. Balance building production solutions with gathering insights to improve the core platform.

Lead a team of Solutions Architects who guide enterprise customers through implementing Databricks data/AI solutions, combining technical problem-solving with strategic customer advisory and team management.