Agentic Solution Architect

Reppls (Techstars '24); Poland; On-site; PLN 240,000 - 400,000; Full time

Benefits offered by this job

Fully remote work

Equity opportunities

Learning budget

Premium hardware

Job summary

Reppls is seeking an experienced Solution Architect to transform complex business challenges into practical, scalable cloud architectures. You will work directly with clients, mentor engineering teams, and contribute code as needed to drive production-ready AI-enabled solutions.

Ideal candidates have deep software and architecture experience, proficiency across AWS/Azure/GCP, and a strong focus on security, compliance, and reliable deployments.

Qualifications

• 8+ years of software engineering experience.
• 3+ years in software or solution architecture.
• Strong experience with AWS, Azure, or Google Cloud Platform.
• Solid understanding of cloud-native architectures, containers, serverless technologies, and IaC.
• Experience integrating AI/ML models into production systems.
• Knowledge of enterprise architecture, security, compliance, and legacy system integration.
• Excellent communication skills with both technical and non-technical stakeholders.
• Hands-on coding experience in modern production environments.

Responsibilities

• Analyze existing business processes, systems, and technical landscapes.
• Design scalable architectures, APIs, integrations, and cloud infrastructure.
• Build prototypes to validate architectural decisions before implementation.
• Contribute production code when needed.
• Support engineering teams throughout development.
• Review code and provide technical guidance.
• Work directly with clients to define technical strategies.
• Establish performance, scalability, reliability, and recovery objectives.
• Assess security, compliance, and operational risks.
• Document architectural decisions and continuously improve deployed solutions.

Skills

Software engineering

Solution architecture

Cloud platforms

Cloud-native architectures

Infrastructure as Code

AI/ML production systems

Enterprise architecture

Security & compliance

Technical communication

Hands-on coding

Tools

AWS

Azure

Google Cloud

Docker

Kubernetes

Job description

We are an AI-native consulting and product development company that helps businesses transform ambitious ideas into production-ready AI solutions. Working with small, highly experienced teams, we combine strategic consulting with hands-on engineering to deliver real business outcomes. Rather than separating strategy from execution, we take ownership from concept to production, partnering closely with clients every step of the way.

What do we do?

We help organizations identify where AI can create meaningful business value, validate ideas quickly, and scale successful solutions across the enterprise. Our projects include AI-first enterprise products, intelligent automation platforms, cloud-native systems, and complex digital transformation initiatives. Every solution is designed with scalability, reliability, and long-term business impact in mind.

We believe AI should solve real problems, not simply showcase the latest technology. Our goal is to help companies adopt AI in a practical, sustainable way by building solutions that improve business performance, empower teams, and deliver measurable results. We value pragmatic engineering, strong ownership, and delivering software that people actually use.

We work side by side with our clients to understand their business, design the right technical solutions, and actively participate in implementation. Our architects don't stop at diagrams, they prototype ideas, write code, validate assumptions, support engineering teams, and ensure that every architectural decision balances scalability, cost, delivery speed, and business value.

Who works with us?

You'll join a team of senior engineers, solution architects, and AI specialists who enjoy solving challenging technical problems and building modern software. Our teams are intentionally lean, giving every engineer the opportunity to influence technical direction, collaborate directly with clients, and make meaningful architectural decisions.

Why is there a vacancy?

As demand for AI-powered enterprise solutions continues to grow, we're expanding our architecture team to support new client engagements and increasingly complex projects. We're looking for an experienced architect who enjoys taking ownership of technical decisions and staying involved throughout the entire product lifecycle: from discovery and design to implementation and continuous improvement.

Who are we looking for?

We're looking for a hands‑on Solution Architect with a strong software engineering background who enjoys turning complex business challenges into practical technical solutions. You should be comfortable working directly with clients, making architecture decisions, mentoring engineering teams, and contributing code whenever necessary.

What professional skills are important to us?

Required

• 8+ years of software engineering experience
• 3+ years in software or solution architecture
• Strong experience with AWS, Azure, or Google Cloud Platform
• Solid understanding of cloud-native architectures, containers, serverless technologies, and Infrastructure as Code
• Experience integrating AI/ML models into production systems
• Knowledge of enterprise architecture, security, compliance, and legacy system integration
• Excellent communication skills with both technical and non-technical stakeholders
• Hands‑on coding experience in modern production environments

Nice to have

• Experience in regulated industries such as healthcare, finance, or government
• Cloud cost optimization and Total Cost of Ownership analysis
• Experience with edge computing, IoT, or distributed systems

What will you do?

As an Agentic Solution Architect, you will:

• Analyze existing business processes, systems, and technical landscapes
• Design scalable architectures, APIs, integrations, and cloud infrastructure
• Build prototypes to validate architectural decisions before implementation
• Contribute production code when needed
• Support engineering teams throughout development
• Review code and provide technical guidance
• Work directly with clients to understand business needs and define technical strategies
• Establish performance, scalability, reliability, and recovery objectives
• Assess security, compliance, and operational risks
• Document architectural decisions and continuously improve deployed solutions

What do we offer?

• Competitive salary with performance-based bonus
• Equity opportunities where applicable
• Fully remote work within GMT-1 to GMT+4
• Up to 22 days of paid time off plus public holidays
• Premium laptop and modern equipment
• Personal learning and development budgetAccess to cutting‑edge AI tools and technologies
• Opportunity to work on high‑impact AI products for international clients
• A collaborative environment with experienced engineers and architects who value ownership, innovation, and continuous learning

Our hiring process

Our interview process is designed to evaluate practical problem‑solving and architectural thinking:

• Introduction Call (30 minutes) – Learn more about each other and discuss your experience.
• Technical Interview (45 minutes) – Explore your technical background, engineering approach, and architectural experience.
• System Design Session (60–90 minutes) – Solve a real‑world architecture challenge together.
• Final Decision & Offer

We focus on practical engineering, thoughtful decision‑making, and real‑world experience, not trick questions or theoretical exercises.