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Tricentis
Position Overview
As an Architect for Agentic AI Platform Architecture, you will lead the design and development of Tricentis' innovative AI platform that will empower Testim, Tosca, NeoLoad, and qTest products. You will work with technology and product leaders across Tricentis to establish the architectural foundation for our autonomous AI agents in the QA testing space.
Key Responsibilities:
Technical Strategy & Architecture:
Define the architectural vision for Tricentis' agentic AI platform supporting our core product suite
Design scalable, modular frameworks for implementing AI agents across different testing domains
Establish patterns and standards for agent interaction, orchestration, and evaluation
Create architectural blueprints for unstructured data access (Vector DBs, Reranking, Knowledge Graphing, GraphRAG)
Define integration approaches between the AI platform and Tricentis products
Leadership & Collaboration:
Collaborate with product teams to identify business problems solvable with agentic AI solutions
Mentor engineering teams on AI implementation best practices and architectural patterns
Review proposed technical approaches and provide constructive feedback
Partner with data science teams to define model training requirements
Communicate AI architectural decisions to technical and non-technical stakeholders
Applied Research & Innovation:
Monitor emerging technologies in the AI agent space (AutoGen, LangGraph, Crew.AI)
Develop evaluation frameworks to measure agent effectiveness and performance
Implement AI safety and responsible development practices into the architecture
Create architectural patterns that enhance testability and transparency of AI models
Bridge research innovations with practical implementation approaches
Required Skills & Qualifications:
Technical Expertise:
7+ years of software architecture experience
3+ years of experience with generative AI.
Deep understanding of language model architectures and their application
Experience with agent frameworks and orchestration systems
Strong knowledge of LangChain, LangGraph, or similar frameworks
Proficiency in Python for AI/ML implementation
Cloud & Production Experience:
Experience designing AI systems for cloud deployment (AWS, Azure, GCO, OCI, SAP BTP)
Familiarity with vector databases and embedding technologies
Understanding of distributed tracing and observability for AI systems
Experience with containerized environments and microservices architectures
Knowledge of security and compliance standards for AI applications
Domain Knowledge:
Understanding of software testing principles and methodologies
Familiarity with test automation frameworks and approaches
Experience with software quality assurance processes
Knowledge of performance testing concepts is a plus
You can look forward to:
Tricentis Core Values:
Knowing what we need to achieve and how to achieve it is important. Tricentis core values define our ways of working and the behaviors we model that create an enjoyable and successful Tricentis life.
Demonstrate Self-Awareness: Own your strengths and limitations.
Finish What We Start: Do what we say we are going to do.
Move Fast: Create momentum and efficiency.
Run Towards Change: Challenge the status quo.
Serve Our Customers & Communities: Create a positive experience with each interaction.
Solve Problems Together: We win or lose as one team.
Think Big & Believe: Set extraordinary goals and believe you can achieve them.