Location: Brasov, Cluj-Napoca, Timisoara, Bucharest, Romania
Job Type: Professional / Full-Time
Education Required: Bachelor’s Degree
Company: IBM
Job Overview
IBM Consulting is seeking an experienced AI Architect (Forward Deployed Engineer) to establish enterprise architecture across data, applications, and technology while driving AI-augmented software delivery models. The role focuses on translating enterprise architecture into production-ready solutions that integrate Generative AI and Agentic AI capabilities while maintaining security, compliance, performance, and ethical AI standards.
As an AI Architect, you will collaborate with business stakeholders, product managers, designers, developers, and AI-powered digital workers to build innovative solutions that accelerate business value. This position combines expertise in enterprise architecture, AI engineering, application development, integration, and platform architecture.
Key Responsibilities
Enterprise Architecture & Solution Design
- Define overall enterprise architecture, AI agents, and delivery models.
- Collaborate with client business teams and translate business requirements into scalable component models.
- Design data architecture, application architecture, and technology architecture.
- Make architectural decisions regarding technology selection, data sources, AI adoption, and enterprise integration.
- Define ethical AI adoption frameworks within client organizations.
AI & Agentic Engineering
- Design and build AI agents and digital assistants to accelerate product development.
- Establish AI-augmented development frameworks across the Software Development Life Cycle (SDLC).
- Develop standards for context engineering and AI-assisted coding practices.
- Implement enterprise-wide AI solutions and coding engines.
- Build agentic AI applications and LLM-powered workflows.
- Work with MCP servers, tool connectors, and LLM orchestration frameworks.
SDLC Automation & Delivery Excellence
- Define AI-driven workflows that augment software development lifecycles.
- Integrate AI agents and assistants across SDLC activities.
- Collaborate with full-stack engineering teams on data models and high-level solution design.
- Establish AI-powered static code analysis and unit test coverage strategies.
- Design AI-based testing frameworks and deployment models.
- Define and implement DevOps and CI/CD pipelines.
- Create Infrastructure as Code (IaC)-based deployment approaches.
Enterprise Integration & Governance
- Partner with enterprise integration architects on system and agent integration strategies.
- Document architecture decisions and asset utilization through Architecture Decision Documents (ADDs).
- Define standards for AI-assisted development, testing, documentation, and delivery acceleration.
- Support adoption of AI-powered assistants and GenAI tools throughout the SDLC lifecycle.
Required Qualifications
Education
- Bachelor’s Degree
Required Technical & Professional Expertise
- Strong experience defining enterprise architecture for business digitalization initiatives.
- Deep understanding of business value streams, data models, application architectures, and technology platforms.
- Expertise in AI-augmented software development and enterprise AI adoption.
- Experience implementing AI coding engines throughout software development lifecycles.
- Strong knowledge of context engineering principles.
- Ability to make strategic architecture decisions across business applications, data sources, and AI implementations.
- Experience with MCP servers, tool connectors, and LLM orchestration frameworks.
- Hands-on experience building agentic AI solutions and intelligent workflow automation.
- Expertise in CI/CD pipeline design and implementation.
- Experience developing Infrastructure as Code (IaC) deployment models.
- Strong enterprise integration and architecture governance experience.
Required Certifications
Candidates must possess one of the following certifications:
- TOGAF Level 2 Certification
OR - Open Group Master Certified Architect
Required AI Tools & Platforms Experience
Coding & Development Agents
- GitHub Copilot
- Roo / Cline
- Cursor
- Visual Studio Code with AI-assisted development workflows
- ChatGPT for code generation, debugging, and documentation
AI-Augmented Collaboration & Product Delivery
- Miro with AI-assisted ideation and workflow mapping
- Jira for Agile delivery and AI-supported backlog management
- Confluence for AI-enhanced documentation and knowledge sharing
Enterprise Architecture & SDLC Enablement
- LeanIX
- AI-powered SDLC assistants
- Workflow automation platforms
- AI-assisted requirements analysis, testing support, documentation generation, and delivery acceleration tools
Why Join IBM Consulting?
IBM Consulting delivers deep industry expertise and advanced technology solutions to public and private sector clients worldwide. Working within IBM Client Innovation Centers, you will help organizations accelerate digital transformation through AI, cloud, and emerging technologies.
What IBM Offers
- Opportunities to work on cutting-edge AI and enterprise transformation projects.
- Continuous learning and professional development.
- Collaborative and innovation-driven culture.
- Exposure to global clients and complex enterprise environments.
- Inclusive workplace committed to diversity, equity, and equal opportunity.
About IBM
Founded in 1911, IBM is one of the world’s leading technology and consulting organizations. IBM continues to lead innovation across artificial intelligence, hybrid cloud, quantum computing, blockchain, and enterprise technology solutions. IBM empowers businesses worldwide through responsible technology innovation and digital transformation.
Equal Opportunity Employer
IBM is proud to be an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, genetics, pregnancy, disability, neurodiversity, age, citizenship, immigration status, or any other protected characteristic under applicable law.
Flexible Working
IBM encourages flexible working arrangements where business needs permit. Candidates interested in flexible work options are encouraged to discuss available arrangements with the recruitment team during the hiring process.