Solutions Architecture

Design and optimize the integration landscape of business systems (Workday, Stripe, HubSpot, etc.) at AMBOSS, working cross-functionally with Finance, Accounting, and IT teams to ensure smooth end-to-end processes and system architecture decisions rather than coding implementation.

Lead technical strategy and implementation patterns for enterprise AI agent identity solutions across customer accounts. Work directly with customers to design, deploy, and optimize agent security architectures while mentoring junior field engineers.

A Chief Client Architect role focuses on designing enterprise AI solutions for major clients, translating their business needs into technical architectures using the Workato platform. Day-to-day involves client strategy sessions, solution design, vendor collaboration, and ensuring successful platform implementations across complex enterprise systems.

Lead a technical support team handling API integration issues and customer escalations for a travel infrastructure platform. Spend time reviewing investigations, coaching engineers, and translating support learnings into product improvements while staying hands-on with complex cases.

Design and lead enterprise AI platform architectures using LangGraph and agentic AI, working with stakeholders to translate business requirements into scalable, secure solutions while guiding engineering teams on technical decisions.

A management and architecture role focused on understanding client needs through workshops, designing cloud-based AI and data solutions, and bridging business requirements with technical implementation. Emphasizes consulting, client interaction, and solution design over hands-on coding.

Lead cloud architecture strategy and design for enterprise AI/data clients by understanding their business needs, proposing technical solutions, and overseeing implementation. Bridges business requirements with technical teams rather than writing code directly.

Lead the end-to-end systems integration of optical precision instruments, coordinating across optics, mechanical engineering, electronics, and software teams. Act as the technical bridge ensuring all components work cohesively from concept through production.

Lead a team of engineers who integrate complex hardware-software systems in real-world field environments, managing the entire customer engagement lifecycle from discovery through deployment while serving as the technical architect for high-stakes integrations.

A management and architecture role focused on understanding client needs through workshops, designing cloud-based AI/data solutions, and bridging business requirements with technical implementation. Involves stakeholder collaboration, proposal writing, and solution design rather than hands-on coding.

Work directly with enterprise customers to understand their business processes, design AI automation solutions, and oversee deployments from discovery through production. Involves workflow design, prompt engineering, integrations, and optimization rather than core software development.

Work directly with customers to design and implement Redis-based solutions, running proof-of-concepts and pilots while translating technical capabilities into business value. Heavy focus on customer collaboration, problem-solving, and consulting rather than building products.

Work as a trusted technical expert guiding enterprise customers in building production ML/AI systems on Databricks, designing architectures, mentoring colleagues, and establishing thought leadership in GenAI and MLOps rather than writing production code.

Work directly with customers to design and implement end-to-end data and AI solutions on the Databricks platform, balancing hands-on technical work with architecture decisions, customer collaboration, and business impact.

Work with enterprise customers to architect and demonstrate how Databricks' data platform solves complex technical challenges, combining deep technical knowledge with client advisory and customized solution design.

Work with enterprise clients to architect and implement Databricks' Lakebase product, positioning the technology to solve business problems through demos, strategy sessions, and guided adoption plans alongside account executives.

Work as a trusted technical advisor helping enterprise customers design, deploy, and secure Databricks infrastructure across cloud platforms. Day-to-day involves architecting solutions, advising on cloud infrastructure and security, and driving technical wins with customers rather than writing production code.

Work directly with manufacturing clients to implement and optimize AI-driven production planning solutions, combining technical product knowledge with customer relationship management and business outcomes focus.

Design and own the solution and system architecture for business-critical applications, working across the full stack from requirements analysis through technical implementation. Guide teams to understand problems holistically rather than executing pre-sorted tickets.

Design and architect cloud/Kubernetes platforms and CI/CD solutions for clients, advising on strategy and technical decisions while moderating workshops and supporting teams as a technical partner rather than writing production code.