Senior Consultant - AI Architect (F/M/X)

AMARIS GROUP SA; Netherlands; On-site; EUR 70,000 - 100,000; Full time

Job summary

Amaris Consulting is seeking a seasoned consultant to embed in a high‑tech environment, helping engineering teams prepare data for AI use cases and connect AI solutions to enterprise systems and workflows.

You will design data pipelines, build integrations, and guide productionization of AI prototypes across low‑code and pro‑code environments, collaborating with AI Solution Architects and engineers.

Qualifications

• Degree in computer science, software engineering, data engineering, artificial intelligence, or a related technical field.
• At least 3 years of experience building AI-enabled applications, integrations, automation services, or data-driven systems.
• Strong programming skills in Python, with experience developing services, integrations, scripts, or workflow automation.
• Experience preparing, structuring, storing, and documenting data for AI applications.
• Practical knowledge of APIs, system integration, databases, knowledge bases, and enterprise data environments.
• Experience taking AI solutions from prototype or MVP stage through testing, deployment, and production use.
• Familiarity with Generative AI, Agentic AI, LLM-based applications, evaluation methods, monitoring, and AgentOps practices.
• Experience with low-code and pro-code tools such as Microsoft Copilot Studio, ChatGPT Codex, Anthropic Cowork, Azure AI Foundry, AWS Bedrock, or similar platforms.

Responsibilities

• Prepare and structure engineering data for Generative and Agentic AI applications, resolving data gaps and quality issues.
• Design and implement integrations through APIs and MCPs, connecting AI solutions to enterprise systems, engineering tools, and knowledge sources.
• Partner with engineering teams to build and adopt AI solutions in their day-to-day workflows.
• Convert prototypes and MVPs into production-ready applications that teams can maintain and reuse.
• Coordinate technical choices with AI Solution Architects, including technology stacks, deployment models, LLM selection, and implementation practices.
• Build reusable components, integration patterns, and technical playbooks for use across multiple teams and business cases.
• Monitor AI applications and improve their performance, reliability, cost efficiency, and response quality through evaluation and feedback loops.
• Apply security, privacy, responsible AI, and enterprise governance requirements throughout the solution lifecycle.

Skills

Python

APIs

Data engineering

Data integration

LLM evaluation

Low-code tools

Education

Degree in computer science or related field

Tools

Microsoft Copilot Studio

ChatGPT Codex

Azure AI Foundry

AWS Bedrock

Google Vertex AI

Job description

Netherlands

As a consultant, you will be embedded in a high‑tech innovation environment, helping engineering teams prepare data for AI use cases, connect AI solutions to enterprise systems and workflows, and turn Generative and Agentic AI prototypes into production‑ready solutions for engineering products and systems.

You will work closely with engineering teams and AI Solution Architects to make AI applications useful in daily operations. Your work will cover data preparation, system integration, solution development, monitoring, and adoption across low‑code and pro‑code environments.

Responsibilities

• Prepare and structure engineering data for Generative and Agentic AI applications, resolving data gaps and quality issues.
• Design and implement integrations through APIs and MCPs, connecting AI solutions to enterprise systems, engineering tools, and knowledge sources.
• Partner with engineering teams to build and adopt AI solutions in their day‑to‑day workflows.
• Convert prototypes and MVPs into production‑ready applications that teams can maintain and reuse.
• Coordinate technical choices with AI Solution Architects, including technology stacks, deployment models, LLM selection, and implementation practices.
• Build reusable components, integration patterns, and technical playbooks for use across multiple teams and business cases.
• Monitor AI applications and improve their performance, reliability, cost efficiency, and response quality through evaluation and feedback loops.
• Apply security, privacy, responsible AI, and enterprise governance requirements throughout the solution lifecycle.

Skills & Experience

• Degree in computer science, software engineering, data engineering, artificial intelligence, or a related technical field.
• At least 3 years of experience building AI‑enabled applications, integrations, automation services, or data‑driven systems.
• Strong programming skills in Python, with experience developing services, integrations, scripts, or workflow automation.
• Experience preparing, structuring, storing, and documenting data for AI applications.
• Practical knowledge of APIs, system integration, databases, knowledge bases, and enterprise data environments.
• Experience taking AI solutions from prototype or MVP stage through testing, deployment, and production use.
• Familiarity with Generative AI, Agentic AI, LLM‑based applications, evaluation methods, monitoring, and AgentOps practices.
• Experience with low‑code and pro‑code tools such as Microsoft Copilot Studio, ChatGPT Codex, Anthropic Cowork, Azure AI Foundry, AWS Bedrock, or similar platforms.
• Ability to work with structured engineering processes, technical documentation, version control, deployment workflows, and lifecycle management tools.
• Strong collaboration skills, with the ability to work directly with engineering teams in federated transformation programmes and complex technical environments.

Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this reason, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.

Who are we?

Job description

As a consultant, you will be embedded in a high‑tech innovation environment, helping engineering teams prepare data for AI use cases, connect AI solutions to enterprise systems and workflows, and turn Generative and Agentic AI prototypes into production‑ready solutions for engineering products and systems.

You will work closely with engineering teams and AI Solution Architects to make AI applications useful in daily operations. Your work will cover data preparation, system integration, solution development, monitoring, and adoption across low‑code and pro‑code environments.

Responsibilities

• Prepare and structure engineering data for Generative and Agentic AI applications, resolving data gaps and quality issues.
• Design and implement integrations through APIs and MCPs, connecting AI solutions to enterprise systems, engineering tools, and knowledge sources.
• Partner with engineering teams to build and adopt AI solutions in their day‑to‑day workflows.
• Convert prototypes and MVPs into production‑ready applications that teams can maintain and reuse.
• Coordinate technical choices with AI Solution Architects, including technology stacks, deployment models, LLM selection, and implementation practices.
• Build reusable components, integration patterns, and technical playbooks for use across multiple teams and business cases.
• Monitor AI applications and improve their performance, reliability, cost efficiency, and response quality through evaluation and feedback loops.
• Apply security, privacy, responsible AI, and enterprise governance requirements throughout the solution lifecycle.

Skills & Experience

• Degree in computer science, software engineering, data engineering, artificial intelligence, or a related technical field.
• At least 3 years of experience building AI‑enabled applications, integrations, automation services, or data‑driven systems.
• Strong programming skills in Python, with experience developing services, integrations, scripts, or workflow automation.
• Experience preparing, structuring, storing, and documenting data for AI applications.
• Practical knowledge of APIs, system integration, databases, knowledge bases, and enterprise data environments.
• Experience taking AI solutions from prototype or MVP stage through testing, deployment, and production use.
• Familiarity with Generative AI, Agentic AI, LLM‑based applications, evaluation methods, monitoring, and AgentOps practices.
• Experience with low‑code and pro‑code tools such as Microsoft Copilot Studio, ChatGPT Codex, Anthropic Cowork, Azure AI Foundry, AWS Bedrock, or similar platforms.
• Ability to work with structured engineering processes, technical documentation, version control, deployment workflows, and lifecycle management tools.
• Strong collaboration skills, with the ability to work directly with engineering teams in federated transformation programmes and complex technical environments.

Amaris Consulting is proud to be an equal opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this reason, we welcome applications from all qualified candidates, regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.

Who are we?

Amaris Consulting isan independent technologyconsulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of7,600 people spread across 5 continents and more than 60countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.

We look forward to meeting you!