AI Solution Architect

Koda Tech; Antwerpen; Sur place; EUR 120 000 - 180 000; Plein temps

Avantages offerts par ce poste

Company car or mobility budget

Bonus and comprehensive benefits

Résumé du poste

Koda Tech, a leading Belgian organisation, is building a next-generation AI platform for secure enterprise AI adoption. The Senior AI Solution Architect will define technical standards, guide engineering teams and shape the long-term direction of a large-scale enterprise AI platform.

Role emphasizes deep technical involvement, prototyping, code reviews and engineering leadership across AI initiatives, including RAG architectures and AI gateways.

Qualifications

• 8+ years of commercial software engineering, architecture or solution design experience.
• 3+ years architecting and delivering AI, ML or LLM-based solutions into production environments.
• Strong experience designing enterprise AI platforms, AI products, intelligent automation solutions or Agentic AI ecosystems.
• Proven experience as a Solution Architect, AI Architect, Principal Engineer or Lead Engineer on complex technology initiatives.
• Expert-level Python development experience, ideally with FastAPI or similar frameworks.
• Deep knowledge of agent orchestration technologies such as LangGraph, LangChain, CrewAI or similar frameworks.
• Proven experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
• Experience with embeddings, vector search, semantic retrieval and enterprise knowledge systems.
• Strong understanding of AI security concepts including prompt injection, hallucination mitigation, data leakage prevention and model governance.
• Experience with Kubernetes or OpenShift and distributed systems.
• Experience designing API/enterprise integration and architectural principles.
• Proven ability to provide technical leadership while remaining hands-on with engineering activities.
• Excellent stakeholder management, communication and solution design skills.
• Experience within financial services or other highly regulated industries.
• Knowledge of AI evaluation and observability tooling such as LangSmith.
• Experience with Elasticsearch/OpenSearch or other hybrid search technologies.
• Understanding of enterprise identity, authentication and authorization frameworks.
• Experience implementing AI governance controls aligned to emerging regulations and compliance standards.
• Experience mentoring engineers and helping scale high-performing technical teams.
• Experience developing enterprise-wide AI adoption strategies and architecture roadmaps.

Responsabilités

• Define and own the architecture of large-scale Generative AI and Agentic AI solutions.
• Design agent orchestration frameworks, memory architectures, state management and tool integration patterns.
• Lead the design and evolution of enterprise AI platforms and AI service ecosystems.
• Architect AI gateway capabilities, including model routing, governance, auditing and access controls.
• Design and optimise enterprise Retrieval-Augmented Generation (RAG) architectures using vector search and internal knowledge sources.
• Create secure retrieval frameworks that respect permissions, entitlements and data governance requirements.
• Establish AI governance controls, safety guardrails and responsible AI frameworks to support production deployments.
• Design and implement evaluation frameworks, observability solutions and acceptance testing processes for AI applications.
• Define service contracts, authentication patterns and integration mechanisms between AI services and enterprise platforms.
• Evaluate emerging AI technologies, frameworks and platforms through structured build-versus-buy assessments.
• Partner with business and technology stakeholders to align AI platform capabilities with strategic objectives.
• Provide technical leadership, mentor AI Engineers and establish engineering standards across the AI function.
• Support hiring activities and contribute to the growth of a high-performing AI Engineering team.
• Collaborate with AI specialists and engineering teams to productionise successful AI use cases across the organisation.

Connaissances

Stakeholder management

Leadership

Communication

Solution design

Outils

Python

FastAPI

LangGraph

LangChain

CrewAI

Kubernetes

OpenShift

Elasticsearch/OpenSearch

Description du poste

A leading Belgian organisation is building a next-generation AI platform designed to enable employees to securely leverage artificial intelligence across the business. The platform will provide a centralised environment for developing, deploying and governing AI solutions, with a strong focus on scalability, security and responsible AI practices.

As a Senior AI Solution Architect, you will join a newly established AI Engineering team responsible for designing and evolving the core architecture that powers AI applications, assistants and autonomous agents across the organisation.

This is a highly hands-on architecture role suited to someone who enjoys combining technical leadership with engineering execution. You will play a key role in defining technical standards, guiding engineering teams, and shaping the long-term direction of a large-scale enterprise AI platform.

Unlike a traditional stakeholder-focused Solution Architect role, this position remains deeply technical, with responsibility for architecture design, prototyping, technical governance, code reviews and engineering leadership across enterprise AI initiatives.

The Role

You will act as the technical authority for the platform's AI ecosystem, defining how AI services reason, retrieve information, interact with enterprise systems and safely operate in production environments.

Working closely with AI Engineers, Platform Engineers, Architects and Technology Leaders, you will design the foundational capabilities that support enterprise-wide AI adoption. This includes Agentic AI frameworks, Retrieval-Augmented Generation (RAG) architectures, AI gateways, evaluation frameworks, governance controls and enterprise integrations.

You will be responsible for translating business objectives into scalable AI solutions while ensuring security, compliance, observability and performance are embedded into every architectural decision. Alongside architectural ownership, you will remain actively involved in prototyping, technical design, code reviews and engineering decision-making.

Key Responsibilities

• Define and own the architecture of large-scale Generative AI and Agentic AI solutions.
• Design agent orchestration frameworks, memory architectures, state management and tool integration patterns.
• Lead the design and evolution of enterprise AI platforms and AI service ecosystems.
• Architect AI gateway capabilities, including model routing, governance, auditing and access controls.
• Design and optimise enterprise Retrieval-Augmented Generation (RAG) architectures using vector search and internal knowledge sources.
• Create secure retrieval frameworks that respect permissions, entitlements and data governance requirements.
• Establish AI governance controls, safety guardrails and responsible AI frameworks to support production deployments.
• Design and implement evaluation frameworks, observability solutions and acceptance testing processes for AI applications.
• Define service contracts, authentication patterns and integration mechanisms between AI services and enterprise platforms.
• Evaluate emerging AI technologies, frameworks and platforms through structured build-versus-buy assessments.
• Partner with business and technology stakeholders to align AI platform capabilities with strategic objectives.
• Provide technical leadership, mentor AI Engineers and establish engineering standards across the AI function.
• Support hiring activities and contribute to the growth of a high-performing AI Engineering team.
• Collaborate with AI specialists and engineering teams to productionise successful AI use cases across the organisation.

Requirements

• 8+ years of commercial software engineering, architecture or solution design experience.
• 3+ years architecting and delivering AI, Machine Learning or LLM-based solutions into production environments.
• Strong experience designing enterprise AI platforms, AI products, intelligent automation solutions or Agentic AI ecosystems.
• Proven experience working as a Solution Architect, AI Architect, Principal Engineer or Lead Engineer on complex technology initiatives.
• Expert-level Python development experience, ideally with FastAPI or similar frameworks.
• Deep knowledge of agent orchestration technologies such as LangGraph, LangChain, CrewAI or similar frameworks.
• Proven experience designing and implementing Retrieval-Augmented Generation (RAG) architectures.
• Experience with embeddings, vector search, semantic retrieval and enterprise knowledge systems.
• Strong understanding of AI security concepts including prompt injection, hallucination mitigation, data leakage prevention and model governance.
• Experience designing cloud-native or containerised solutions using Kubernetes or OpenShift.
• Strong understanding of distributed systems, API design, enterprise integration and software architecture principles.
• Proven ability to provide technical leadership while remaining hands-on with engineering activities.
• Excellent stakeholder management, communication and solution design skills.
• Experience within financial services or other highly regulated industries.
• Knowledge of AI evaluation and observability tooling such as LangSmith.
• Experience with Elasticsearch, OpenSearch or other hybrid search technologies.
• Understanding of enterprise identity, authentication and authorisation frameworks.
• Experience implementing AI governance controls aligned to emerging regulations and compliance standards.
• Experience mentoring engineers and helping scale high-performing technical teams.
• Experience developing enterprise-wide AI adoption strategies and architecture roadmaps.

What's on Offer

• Opportunity to play a key role in a large-scale enterprise AI transformation programme.
• Architectural ownership of a strategic AI platform used across the organisation.
• Work on cutting-edge Generative AI, Agentic AI and Enterprise AI initiatives.
• Collaborate with experienced engineers, architects and AI specialists.
• Significant influence over technology selection, platform direction and engineering standards.
• Exposure to greenfield AI platform development and enterprise-scale AI challenges.
• Long-term career progression within a growing AI and Technology function.
• Modern technology environment with significant investment in AI innovation.
• Competitive salary and comprehensive benefits package.
• Company car or mobility budget.
• Bonus, insurance and additional holiday benefits.
• Office-based environment with close collaboration across technical teams.