Forward Deployed Architect

Endgame; United States; Remote; USD 180.000 - 240.000; Vollzeit

Benefits dieser Stelle

Salary + bonus

Remote work

Learning budget

AI tooling access

Zusammenfassung

Endgame is an AI-native consultancy building enterprise AI products. You will design system architectures, choose technologies, and balance cost, risk, and speed while guiding teams through implementation.

This hands-on role requires writing code, prototyping, reviewing PRs, and direct client work, with a focus on scalable, secure solutions across cloud platforms.

Qualifikationen

• 8+ years building software; 3+ years making architecture decisions.
• Cloud platform experience (AWS, Azure, or GCP).
• Modern infrastructure knowledge: containers, serverless, infrastructure as code.
• AI/ML integration experience in applications, data pipelines, monitoring and latency.
• Enterprise experience: security, compliance, legacy integration, data governance.
• Ability to explain technical concepts to executives and business constraints to engineers.
• Current coding skills in production environments.

Aufgaben

• Map the existing landscape of capabilities and processes to understand the product in detail.
• Design system architectures, components, integrations, and data flows; weigh cost, risk, and capability.
• Write code to test designs and build prototypes to validate assumptions.
• Guide and unblock engineers; document decisions for ongoing maintenance.
• Engage with clients to translate business needs into technical plans and explain options clearly.
• Assess security, compliance, and operations before building; design for regulated environments.

Kenntnisse

Architecture design

Cloud platforms

Serverless

IaC

AI/ML integration

Security & compliance

Hands-on coding

Executive communication

Enterprise integration

Tools

AWS

Azure

GCP

Kubernetes

CI/CD

Jobbeschreibung

About ENDGAME

ENDGAME is an AI-native consulting and product development firm. Small, senior teams amplified by purpose-built AI tooling deliver strategy and execution in the same hands at software-company economics. We help companies find where AI brings real value, prove it works, and scale the results across the organization.

The Role

You'll design technical approaches for AI-first enterprise products. You'll make architecture decisions that balance capability, cost, risk, and time. You'll help teams build what you design.

This is hands-on. You will need to write code, build prototypes, and review pull requests, when needed. You don't hand off diagrams.

You'll work directly with clients. You learn their systems, explain trade-offs, and recommend solutions that fit their constraints.

What You'll Do

• Understand: Map existing landscape of capabilities, business processes, services to gather full in detail understanding of the product.
• Design: Create system architectures, components, integrations, data flows, infrastructure. Choose technologies based on what works, not what's newest. Weigh cost against speed, risk against capability, then recommend. Set performance targets: response times, uptime, load capacity, recovery.
• Build: Write code to test designs before teams commit to them. Build prototypes to check assumptions early. Review code to catch problems before production.
• Guide: Unblock engineers during implementation. Make technical calls when the path isn't clear. Teach others how to think about architecture. Document decisions so others can maintain what you build.
• Client Work: Map existing systems, constraints, and requirements. Turn business needs into technical plans. Explain options in plain terms. Review systems after launch and recommend improvements.
• Manage Risk: Assess security, compliance, and operations before building. Design for regulated environments. Identify failure points and design around them.

Tools & Methods

• Architecture: System design, API design, infrastructure as code
• Cloud: AWS, Azure, GCP; preference for serverless/edge (Cloudflare Workers, Durable Objects)
• AI/ML: Model integration, Azure OpenAI, AWS Bedrock, custom deployments
• Documentation: ADRs, design docs, runbooks, technical specifications
• Collaboration: Direct client workshops, technical presentations, stakeholder alignment

Required Skills

• 8+ years building software; 3+ years making architecture decisions
• Cloud platform experience (AWS, Azure, or GCP)
• Modern infrastructure knowledge: containers, serverless, infrastructure as code
• AI/ML integration experience: models in applications, data pipelines, monitoring, latency, versioning
• Enterprise experience: security, compliance, legacy integration, data governance
• Ability to explain technical concepts to executives and business constraints to engineers
• Current coding skills in production environments

Nice to Have

• Regulated industry experience (healthcare, finance, government)
• AI/ML platform experience (Azure OpenAI, AWS Bedrock, custom deployments)
• Cost management skills: cloud spend, build vs. buy analysis, total cost of ownership
• Edge computing, IoT, or distributed systems background

Perks and Benefits

• Competitive salary + bonus; equity where applicable.
• Up to 22 days PTO; public holidays (location-based); high-end laptop + tools; learning budget; extensive AI tooling.
• Fully remote from the EU, the UK or the US, with occasional travel.

The Process

1. Getting to know each other (30m)
2. Technical discussion (45m)
3. System design session (60–90m)
4. Offer

No architecture astronauts. No trivia.

FAQ

• Remote? Yes, fully remote from anywhere in the EU, the UK or the US.
• Visa? Case by case.
• AI tools? Extensively.
• Work-life? Work hard. Rest well. No weekends unless prod is on fire.
• Growth path? Design solutions Lead practices Shape the company.
• Who shouldn't apply? Those who design systems they wouldn't build themselves, choose elegance over practicality, avoid cost discussions, or need committee approval before deciding.

Equal Opportunity

We're an equal opportunity employer. We evaluate only on the ability to ship great systems.