Principal Software Architect

Opentext; Bengaluru; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

OpenText in Bengaluru seeks a senior data/AI architecture leader to define data and applied AI architectures across product lines, govern data platforms, and drive cross‑functional standards.

You will mentor peers, influence executive decisions on RAG/LLM integration, and guide agentic AI strategies while collaborating with product teams on scalable cloud deployments.

Qualifications

• 10+ years in software architecture, data engineering, or AI/ML systems.
• Bachelor's degree in Computer Science or equivalent.
• Experience leading multi‑team software architecture and production data platforms.
• Hands‑on with cloud-native apps and Kubernetes in production.
• Experience designing AI-enabled systems (RAG/LLM integration) and governance.

Responsibilities

• Design and review data architectures (warehouses, lakehouses, data platforms) for analytics and AI workloads.
• Define reference architectures and patterns for applied AI systems across product lines.
• Advise on agentic AI architecture and interoperability standards.
• Partner with product architects to align data/AI architecture with company standards.
• Represent data engineering and AI perspectives in architecture reviews and boards.
• Mentor fellow architects and communicate trade-offs to executives.

Skills

Data/AI architecture

Cross‑team experience

Cloud-native

Kubernetes

Production data systems

Applied AI (RAG/LLM)

Education

Bachelor's degree in CS

Master's degree in CS or related

Tools

Kubernetes

AWS/Azure/GCP

Graph databases

Vector stores

Job description

OpenText - The Information Company

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.

AI-first. Future-driven. Human-centered.

At OpenText, AI is at the heart of everything we do powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.

Your Impact

Sets data and applied AI architecture direction for OpenText, working across product lines rather than within a single team. Defines how OpenText builds and governs data platforms (warehousing, lakehouses, graphs, vector stores) and the applied AI systems built on top of them. Acts as a technical authority that other architects and engineering teams consult on data and applied AI decisions.

What the role offers

• Design and review data architectures (warehouses, lakehouses, data platforms, graph and vector stores) that support analytics and AI workloads, including data quality, lineage, and governance (e.g., using layered patterns such as medallion/bronze-silver-gold where applicable).
• Evaluate and recommend data contract and product standards (e.g., ODCS, ODPS) for cross-product adoption.
• Define reference architectures and patterns for applied AI systems (RAG, agentic AI, LLM integration) that other product teams can adopt, including governance considerations such as safety filtering, bias assessment, human-in-the-loop mechanisms, and audit evidence requirements for autonomous/agentic systems.
• Advise on agentic AI architecture, including interoperability protocols such as MCP and A2A as well as emerging standards such as OpenID AuthZEN and OIDC-A.
• Partner with product architects across OpenText to align data and AI architecture decisions with company-wide standards.
• Represent data engineering and applied AI perspectives in architecture review boards and standards discussions.
• Communicate architectural trade-offs to executive and non-technical stakeholders, influencing direction across product lines without formal authority.
• Mentor other architects informally on data engineering and applied AI practices, without formal people-management responsibility.

What you need to succeed

• 10+ years in software architecture, data engineering, or AI/ML systems, or equivalent demonstrated depth.
• Bachelor's degree in Computer Science or equivalent professional experience.
• Track record operating as a software architect across multiple teams or products, not just within a single team.
• Demonstrated design of production data architectures at scale (e.g., data warehouse, lakehouse, or data platform), using layered patterns such as medallion/bronze-silver-gold where applicable.
• Hands-on experience architecting applied AI systems (e.g., RAG pipelines, LLM-integrated services) that have shipped to production.
• Experience building cloud-native applications on a major hyperscaler (AWS, Azure, or GCP), including containerized applications deployed on Kubernetes.

Additional qualifications

• Master's degree in Computer Science or a related field.
• Prior cross-product or cross-org architecture role at a similarly sized enterprise software company.
• Breadth across data warehousing, lakehouses, data platforms, graphs, and vector technologies, valued over deep specialization in a single area.
• Familiarity with data contract/product standards such as ODCS (Open Data Contract Standard) or ODPS (Open Data Product Specification).
• Familiarity with data catalog and metadata management tools (e.g., Unity Catalog, Google Cloud Dataplex Universal Catalog, Apache Atlas, or equivalent).
• Experience with graph databases and building knowledge graphs.
• Experience with vector database technologies and embedding pipelines in production RAG systems (e.g., pgvector, Milvus, or equivalent).
• Experience designing streaming data architectures (e.g., Kafka, Flink, Delta Live Tables, or equivalent) alongside batch/medallion patterns.
• Familiarity with agentic AI safety patterns, including prompt injection defenses, guardrail design, and PII handling in agentic contexts.