Solution Architect

Solvd, Inc.

Solution Architect overseeing AI-driven architecture and design for a global e-commerce leader. Collaborating with stakeholders to optimize content management systems and implementing low-latency solutions.

Posted 7/28/2026full-timeRemote • 🇨🇴 ColombiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in system architecture and design, particularly in creating scalable and maintainable AI-driven workflows. Proven ability to lead technical discussions and collaborate effectively with cross-functional teams while managing stakeholder expectations.

Highest-signal resume keywords

System Architecture DesignJava Ecosystem ExpertiseEvent-Driven ArchitecturesDistributed Systems UnderstandingStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Architecture DocumentationArchitecture DiagramsTechnical Tradeoff AnalysisAI Tools DevelopmentIntegration PatternsService-Oriented ArchitectureLow Latency DesignHigh Performance DesignScalability DesignReliability Design

Soft Skills

Communication SkillsOrganizational SkillsInterpersonal SkillsResults-Oriented MindsetAdaptability

Tools & Technologies

KafkaMCP ToolingRAG Patterns

Industry Keywords

Large-Scale SystemsMulti-Architect EnvironmentConsensus-Based Architecture

Tech Stack

Tools & technologies

Distributed SystemsJavaKafka

About the role

Key responsibilities & impact

System architecture and design — Design system architecture: produce architecture diagrams (C4 and related views) for different stakeholder groups, define system boundaries and integration patterns, perform and document technical tradeoff analysis, and maintain Architecture Decision Records (ADRs). Ensure architecture supports scalability, performance, reliability and long-term maintainability.
Agentic AI systems design — Shape the agentic layer: design AI-driven workflows, help decide the agent runtime, and define how agents are configured, tuned and integrated with the content platform. Bring an architect’s view to MCP tooling and RAG patterns in an enterprise context.
Hands-on technical leadership — Guide implementation by working closely with engineering teams on design reviews, code reviews, critical code paths, prototyping and architectural spikes. Validate, approve, reject or redesign proposals from delivery teams, and be accountable for ensuring teams follow the architecture guidelines set for the initiative.
Cross-team collaboration and stakeholder communication — Act as a counterpart to the client’s architects and collaborate closely with program management, product and engineering stakeholders. Translate business and technical requirements into scalable, maintainable systems, and communicate architectural decisions clearly and repeatedly across many groups and meetings. Operate effectively within a multi-architect, consensus-based enterprise environment.
Leadership and communication — Lead technical discussions, guide teams and set architectural direction with clarity and confidence. Foster open, constructive conversations, especially when navigating uncertainty.

Requirements

What you’ll need

A proven, strong software architect and hands-on engineer with a track record of designing and delivering large-scale systems.
Hands-on experience building AI tools and platforms as a software engineer/architect — from architecture and design through to implementation.
Hands-on development experience across multiple stacks and solution types.
Strong expertise in the Java ecosystem (primary stack).
Experience with event-driven architectures and streaming platforms (specifically Kafka).
Strong understanding of distributed systems, integration patterns and service-oriented architecture.
Experience designing and documenting large-scale distributed systems, with proven ability to produce architecture documentation, diagrams and ADRs.
Demonstrated ability to design for low latency, high performance, scalability and reliability.
Excellent stakeholder management skills: managing expectations, presenting, and communicating with technical and executive audiences.
Ability to work closely with business stakeholders to define requirements and solution scenarios.
A fast learner who adapts quickly to new domains and environments.
Strong written and verbal communication skills.
Strong organizational and interpersonal skills; results-oriented mindset.
Excellent conceptual visualization skills.
Travel readiness (US).
English level B2+.

Benefits

Comp & perks

Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
Be part of a global team with equal opportunities for collaboration across continents and cultures.
Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.