Forward Deployed Architect
Climb
Forward Deployed Architect
Climb
AI consultancy delivering production-grade enterprise AI
Climb is a Data and AI consultancy that partners with enterprises to design, build, and operationalize modern data platforms and production AI systems. As a Databricks partner, we go deep on lakehouse architecture, machine learning, and applied AI, with a bias toward production over proof of concept. Our team brings deep technical expertise and a builder's mindset to every engagement, and we measure our work not just by what ships, but by the business impact it drives.
The Forward Deployed Architect owns the technical architecture of a client engagement. You take business objectives and translate them into a production-ready system, defining the platform architecture, technical standards, integration patterns, and implementation approach that guide delivery from discovery through production.
You design and build complete software systems: front-end, back-end, and the infrastructure and CI/CD that ship them. That includes applied AI, which is software built around non-deterministic models, where you design for evaluation, fallbacks, and failure handling the same way you design for any other part of the system. You make the right calls on synchronous and asynchronous patterns and build systems that are scalable, reliable, and operable. This is not a data engineering or data architecture role.
This is a hands-on role. You stay close to the implementation, solving the hardest technical problems, reviewing critical design decisions, and writing code where it adds the most value. You keep the system coherent as multiple workstreams come together, balancing scalability, security, maintainability, performance, cost, and delivery speed.
Own the end-to-end system architecture on your engagement: front-end and back-end architecture, service boundaries, integration patterns, sync and async design, security, observability, and operational readiness.
Take engagement objectives and turn it into a coherent target architecture and an implementation plan the engineering team can execute against.
Make the platform and pattern decisions (frameworks, services, infrastructure, model selection where applicable, data flow, security, and cost) and stand behind them.
Own the path to production: CI/CD, infrastructure as code, environments, and the reliability of what ships.
Guide and review the engineering team's implementation, ensuring individual workstreams integrate into a coherent production system.
Stay hands-on: write code on the critical path and prove out the hard parts of the architecture yourself.
Deliver architecture documentation, implementation guidance, and production-ready systems that customers can confidently operate after handoff.
Contribute reference architectures, patterns, and accelerators back to the practice.
8+ years of software engineering or technical architecture experience, including production systems in cloud environments (AWS, Azure, or GCP).
Proven experience serving as the technical design authority for production systems delivered to customers.
Hands-on full-stack depth: front-end with modern frameworks (React, Next.js, or similar) and back-end services in languages such as TypeScript, Python, Go, Java, or C#.
Experience designing systems that combine synchronous and asynchronous patterns (APIs, queues, event-driven processing, background workers, durable workflows), with a clear grasp of the tradeoffs in latency, reliability, consistency, and cost.
Hands-on with CI/CD, infrastructure as code (Terraform, Pulumi, CDK, or similar), and containers.
Build for operability: observability (logs, metrics, traces), SLOs, idempotency and retries, and safe rollout and rollback.
Experience designing around non-deterministic components, such as ML models, LLMs, or unreliable third-party APIs, including evaluation, fallbacks, and failure handling.
Demonstrated ability to guide multiple engineers while maintaining architectural consistency across the system.
Still codes: comfortable working on the critical path and proving out the hard parts yourself.
Strong communicator: technically precise with engineers, clear and confident with VP- and C-level leadership.
High tolerance for ambiguity; can turn a loosely scoped problem into a build the team can execute.
Experience building production AI systems: RAG pipelines, agents, fine-tuned models, or LLM-native applications.
Hands-on experience with Databricks (Delta Lake, Workflows, Unity Catalog, Mosaic AI) is a strong plus.
Background in a consulting firm, systems integrator, or professional services environment.
Familiarity with SOW-based, outcome-priced delivery and active scope management.
Note on certification: Databricks experience is valued but not required at hire. Both Databricks and Anthropic certification are expected to be obtained post-hire.
You think in whole systems, not just the component in front of you, and you keep the architecture coherent as the build grows.
You stay close to the code; you'd rather prove the hard part yourself than hand it off and hope.
You can hold the technical line with a client's architects and still get into the details with the engineers building it.
Ground floor, real backing. You are joining early, with founders who have built and exited firms like this before. You help write the playbook rather than inherit one.
Outcomes, not hours. We sell and deliver against business results. Advancement is tied to delivery performance and account impact, not utilization targets.
Senior team, no body-shop drag. Small pods of A-players, heavy internal AI leverage, and no bloated middle layers between you and the work.
IP that compounds. Every engagement feeds reusable accelerators, patterns, and points of view back into the practice.
Competitive base salary with performance-based bonuses
MacBook Pro and swag kit so you can do your best work
Comprehensive health, dental, and vision insurance
401(k) with company match
Generous holidays, flexible PTO, and remote-first work environment
Professional development budget including Databricks and cloud certifications
Spot bonuses for relevant certifications
Conference attendance and thought leadership opportunities
Collaborative, low-ego culture with direct access to leadership
Opportunity to shape a growing practice from the ground floor
Climb is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Climb provides AI consulting that moves enterprises from AI pilots to production-ready systems built on Databricks. Its fixed-scope Basecamp engagements move a data or AI priority from diagnostic to production within weeks, guided by a single end-to-end team and supported by the Climb AI Runtime. Unlike firms that bill by hour or use pyramid staffing, it uses outcome-aligned pricing and a dedicated team to accelerate delivery. The goal is to operationalize intelligence across core workflows and processes to deliver measurable business results, such as margin expansion and reduced cycle times.
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