About Graitec Group:
Graitec is a global leader in Building Information Modeling (BIM) solutions, designing and developing software
that helps architects, engineers, and manufacturers design smarter and better. With over 30 years of innovation
and an entrepreneurial spirit, we’ve tripled our revenue in just five years.
Our North Star is clear — accelerate the digital transformation of the AECO industry and model the future. We
achieve this by growing our recurring revenue through innovative software and services that drive adoption,
integration, and lasting value for our customers.
Our 800 experts across 30+ offices in 12 countries support more than 270,000 users worldwide. As a global
Autodesk Platinum Partner, we combine world-class partnerships with our own cutting-edge software and
services to drive performance and sustainability across the industry.
At Graitec, we move fast and think big. We collaborate across teams and borders, embrace diversity, and
challenge ourselves to innovate every day. We believe in doing the right thing, breaking down silos, and making
an impact together.
How we work: Growth, Agility, Innovation, Responsibility
How we behave: Ambition, Engagement, One Graitec, Positive Energy
Learn more about the Graitec Group: graitec-group.com/graitec-a-global-player
About the Team Hiring:
The GRAITEC Solution Division is a vibrant, multicultural environment that brings together talented professionals across Europe and North America. With core expertise in software design, architecture, and engineering technologies, our teams collaborate globally to deliver innovative, high-performance BIM and AEC solutions.
At GRAITEC, we foster an environment of continuous learning, creativity, and technical excellence. We encourage initiative, support professional growth, and empower our engineers to implement ideas that drive innovation and create real value for the construction industry worldwide.
Overview:
Role Purpose / Objective
The Agentic AI Engineer will reinforce our Innovation Team and drive the creation, deployment, and adoption of enterprise AI agents across the full portfolio of GRAITEC products and internal business functions.
In this role, you will design, develop, evaluate, and deploy intelligent agentic solutions powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and enterprise integrations.
The AI agents you build will be able to:
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Understand user intent and business requirements across AEC workflows and enterprise processes.
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Retrieve, analyze, and reason over product knowledge, project data, and business information.
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Orchestrate actions through APIs, enterprise systems, CAD/BIM platforms, automation services, and internal tools.
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Support customer-facing and internal use cases including product support, onboarding, technical documentation, product management, customer success, and marketing.
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Deliver secure, traceable, reliable, and high-quality outcomes aligned with GRAITEC's business objectives and governance standards.
This is a highly collaborative and hands-on role working closely with Product Management, Innovation, R&D, IT, Customer Success, Support, Sales, and Marketing teams to transform business opportunities into scalable AI-powered solutions.
Key Responsibilities
Agentic AI Development
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Design, build, deploy, and continuously improve AI agents capable of planning, reasoning, tool usage, API orchestration, and multi-step task execution.
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Develop and optimize agentic workflows leveraging modern AI frameworks, Copilot technologies, MCP architecture, and LLM ecosystems.
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Implement and enhance existing RAG solutions to ground AI responses in product documentation, knowledge bases, technical resources, and enterprise data.
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Build reusable tooling layers including function calling, connectors, API wrappers, AI skills, automation services, and agent communication protocols.
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Create AI-powered solutions that support both customer-facing experiences and internal business functions across Product Management, Marketing, Customer Success, Support, and Operations.
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Identify and prototype innovative AI use cases that can create measurable business value across the organization.
Quality, Evaluation & Reliability
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Define and maintain AI evaluation frameworks, benchmarks, test datasets, success criteria, and quality metrics.
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Continuously monitor and improve agent performance, accuracy, reliability, and business impact.
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Reduce hallucinations and improve output quality through prompt engineering, retrieval optimization, memory strategies, reasoning improvements, and agent guardrails.
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Investigate and resolve failures related to retrieval, planning, reasoning, API integrations, tool usage, and workflow execution.
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Establish best practices for AI quality assurance, testing, and continuous improvement.
Enterprise Readiness & Engineering Practices
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Design and implement secure-by-design AI solutions, including access control, permissions management, privacy considerations, data governance, traceability, and compliance requirements.
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Contribute to production deployment processes including CI/CD integration, monitoring, telemetry, observability, performance optimization, and cost management.
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Develop scalable and maintainable AI architectures aligned with enterprise standards.
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Produce clear technical documentation and knowledge-sharing materials to support long-term maintainability and successful handover to product and engineering teams.
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Enable and mentor internal teams on AI capabilities, agent creation methodologies, best practices, and innovation opportunities.
Product & Stakeholder Collaboration
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Partner with Product Managers, Product Owners, industry experts, and business stakeholders to identify and prioritize high-value AI use cases.
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Translate business challenges and customer needs into scalable AI solutions and agent workflows.
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Work closely with domain experts to formalize user journeys across support, onboarding, design automation, BIM workflows, engineering processes, and customer engagement scenarios.
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Gather feedback from users and stakeholders, analyze adoption and usage patterns, and convert insights into product improvements.
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Help structure enterprise knowledge into agent-ready formats including taxonomies, knowledge repositories, intent libraries, tool catalogs, and decision frameworks.
Innovation & Continuous Learning
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Stay current with emerging trends in Agentic AI, Generative AI, LLMs, MCP, Copilot technologies, AI safety, and enterprise AI adoption.
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Evaluate new tools, frameworks, and methodologies that can enhance GRAITEC's AI capabilities.
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Contribute to the company's AI strategy and help establish best practices for future AI initiatives.
Responsibilities:
- 5+ years of experience within the AEC, Technology, Digital Innovation, AI, Product, Engineering, or related industries.
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Minimum 2 years of hands-on experience building AI agents, LLM-powered applications, copilots, RAG solutions, or agentic workflows.
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Proven experience delivering AI solutions from concept to production that solve business problems and create measurable value.
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Hands-on experience with modern AI platforms and tools such as Microsoft Copilot Studio, Azure OpenAI, OpenAI, Claude, Gemini, Semantic Kernel, LangChain, LangGraph, MCP, or equivalent technologies.
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Experience collaborating with business stakeholders, product teams, and technical teams to design and deliver AI-driven solutions.
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Experience working in fast-paced, innovation-driven environments with multiple priorities and stakeholders.
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Strong interest in enterprise software and real-world customer challenges.
Nice-to-have:
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Familiarity with AEC workflows (CAD/BIM) or a strong motivation to learn the industry.
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Experience with cloud environments (Azure, AWS, GCP), DevOps practices, and containerization.
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Experience with AI evaluation frameworks, automated testing, and quality assurance methodologies.
Qualifications:
Required Qualifications
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Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, Information Technology, or a related discipline.
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Advanced education, certifications, or specialized training in Artificial Intelligence, Machine Learning, Generative AI, or Agentic AI is a plus.
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Good understanding of Generative AI, Large Language Models (LLMs), Agentic AI concepts, and Retrieval-Augmented Generation (RAG).
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Understanding of Model Context Protocol (MCP) and modern AI orchestration approaches.
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Knowledge of enterprise software architecture, integrations, APIs, and data management principles.
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Understanding of AI governance, security, privacy, and responsible AI principles.
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Fluent in English.
Required Skills & Abilities
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Strong technical aptitude with the ability to work effectively with Python, APIs, integrations, and modern AI technologies.
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Ability to design innovative and scalable AI solutions aligned with business and user needs.
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Strong analytical mindset with the ability to evaluate, troubleshoot, and continuously improve AI solution quality.
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Strong analytical and problem-solving skills with the ability to diagnose and resolve complex AI workflow issues.
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Ability to translate business needs into scalable AI solutions.
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Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.
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Strong stakeholder management and collaboration skills.
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Self-motivated, proactive, and capable of working independently in a fast-paced environment.
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Strong learning agility and curiosity regarding emerging AI technologies and industry trends.
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Ability to document solutions and share knowledge across teams.
Interview Process:
At Graitec, we’re proud to foster a diverse and inclusive workplace.
We value our employees for who they are and the contributions they bring, encouraging everyone to be their
authentic selves at work. This diversity helps us better serve the wide range of customers and markets we
operate in. We welcome applications from all backgrounds and assess candidates solely on their skills and
ability to succeed in the role.
Graitec uses AI to support and streamline internal processes; however, all application reviews, screening, and
hiring decisions are made solely by our Talent Acquisition team and hiring managers.
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HR Screening – An initial “get to know you” discussion.
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Technical Assessment Interview – May include a presentation or a collaborative exercise.
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Hiring Manager Interview – A role-specific discussion with the hiring manager.
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Final Interview – Conversation with the Business Unit Leader.
Additional Information
As a signatory of United Nations Women’s Empowerment Principles, Graitec is committed to equal opportunity and
pay transparency.
