Forward Deployed Architect

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.
• Up to 22 days PTO; public holidays (location-based); high-end laptop + tools; learning budget; extensive AI tooling.
• Remote-first (GMT-1 to GMT+4) 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.