Software Engineering Architect

OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.

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As Senior Principal Software Architect – AI Applications, you will be a deeply hands-on technical leader and architectural partner responsible for shaping how OpenText builds AI-powered products and solutions. This role is for a builder who stays close to code, guides teams through real design decisions, and helps translate emerging AI capabilities into scalable, reliable systems.

You will work directly with architects and development teams to design, review, and improve AI solutions, including RAG-based applications, agentic workflows, and multi-agent orchestration. You are expected to prototype, create POCs and starter implementations, and help teams adopt strong end-to-end AI development practices, from prompt design and evaluation to observability and system tuning.

This role requires strong enterprise experience, technical credibility, and the ability to influence without direct authority.

Designing and evolving AI solutions and products using modern RAG and agentic architectures

Building and reviewing agent-based systems, including orchestration, tool use, and agent-to-agent interactions

Creating hands-on prototypes, POCs, and reference implementations to guide development teams

Identifying gaps in existing AI solutions and helping teams refactor or improve them

Working closely with architects and developers to translate AI patterns into production-ready designs

Staying current with AI trends, tools, and frameworks and applying them pragmatically

Explaining complex architectural decisions clearly to technical and non-technical audiences

15+ years of software engineering experience, including senior architect or principal-level roles

Proven, hands-on experience building enterprise AI solutions end to end

Strong understanding of the full AI lifecycle, including development, prompt management, evaluation, observability, and continuous iteration

Deep hands-on experience with LangGraph and Google ADK, with awareness of emerging agentic frameworks and orchestration approaches

Strong working knowledge of cloud AI platforms, with Google Vertex AI experience a significant plus

Demonstrated ability to use AI-powered code assistants and modern developer tools to accelerate prototyping and solution development

Practical experience designing modern RAG pipelines and agentic architectures

Strong coding experience, primarily in Python, with working knowledge of JavaScript/TypeScript and Java

Bachelor's or Master's degree in Computer Science, Engineering, or a related field

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