OpenText
Principal Software Architect (GenAI Applications and Agentic Systems)
OpenText, Gaithersburg, Maryland, us, 20883
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.
Principal Software Architect (GenAI Applications and Agentic Systems) – Gaithersburg, MD, USA (Hybrid) OpenText’s AI Engineering and Enablement team is building the foundational components and developer experiences that power intelligent applications across our product portfolio.
Your Impact As a Principal Software Architect (GenAI Applications and Agentic Systems), you will serve as a senior engineer responsible for designing, building, and extending the agentic runtimes, orchestration flows, and shared GenAI services that form the backbone of our AI platform strategy. You will lead the implementation of reusable GenAI components such as agent frameworks, RAG pipelines, vector‑augmented retrieval services, and semantic memory. You’ll work in close partnership with architects and fellow engineers to productionalize fast‑moving incubation efforts, extend orchestration frameworks, and enable scalable agentic solutions that can be reused across products and deployment environments. This is a hands‑on role for an experienced AI systems engineer who can take ownership of complex capabilities, deliver robust implementations, and contribute directly to the enablement of AI‑powered applications across OpenText.
What the role offers
Designing and developing production‑ready components for GenAI applications, including agent workflows, tool execution layers, vector search integrations, and memory modules.
Implementing and optimizing
retrieval‑augmented generation (RAG)
pipelines, including embeddings, hybrid retrieval, and contextual grounding.
Building reusable
agent runtimes and orchestration logic , using frameworks like LangChain, LangGraph, CrewAI, or equivalent.
Participating in the development of
multi‑agent patterns , including asynchronous workflows and Agent‑to‑Agent (A2A) coordination.
Contributing to the integration of the
Model Context Protocol (MCP)
for standardized agent‑to‑tool and resource interactions.
Extending and integrating semantic reasoning into agent flows using
knowledge graphs
or other structured sources.
Collaborating with architects and cross‑functional teams to translate high‑level designs into modular, maintainable code.
Supporting internal enablement by delivering reference implementations, engineering documentation, and code‑level onboarding materials.
What you need to succeed
Writing clean, modular Python code using
FastAPI , with a strong understanding of system integration and runtime performance.
Applying and adapting frameworks such as
LangChain, LangGraph, CrewAI , or other orchestration platforms to enterprise use cases.
Designing agent workflows that incorporate
tools, memory, vector search, structured reasoning , and secure execution.
Understanding and implementing
A2A interaction flows
and integrating agents with tools and resources using
MCP .
Building scalable RAG systems, and optimizing embedding usage, query strategies, and semantic relevance scoring.
Working across the full development lifecycle from prototype to hardened implementation, with strong test and monitoring practices.
Collaborating with teams working in
Java
and
TypeScript
environments, contributing to cross‑language integration and API design.
Mentoring developers and reviewing pull requests to uphold engineering standards across agentic codebases.
What It Takes
10+ years of software development experience, including 2‑4 years focused on GenAI or agentic AI development.
Strong proficiency in
Python , with real‑world experience using
FastAPI
to build service‑oriented systems.
Direct experience implementing agent flows using
LangChain, LangGraph, CrewAI , or similar frameworks.
Experience implementing RAG pipelines, working with vector databases, embedding models, and hybrid retrieval strategies.
Working knowledge of
MCP
and
A2A
patterns, with hands‑on experience integrating agents, tools, and services into orchestrated flows.
Familiarity with
knowledge graphs
and structured reasoning models is a strong plus.
Ability to work with and around
Java
and
TypeScript -based applications, including REST and event‑driven interfaces.
Demonstrated ability to ship complex systems in collaboration with architects, product managers, and infrastructure teams.
Strong documentation and communication skills to support reusability and onboarding.
OpenText is more than just a corporation—it’s a global community where trust is foundational, the bar is raised, and outcomes are owned.
Join us on our mission to drive positive change through privacy, technology, and collaboration. At OpenText, we don’t just have a culture; we have character. Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference.
OpenText’s efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText’s vibrant workplace.
Compensation:
At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we’re happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.
Salary Range:
$190,890.00 – $313,605.00; Depending on the candidate’s education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.
#J-18808-Ljbffr
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.
Principal Software Architect (GenAI Applications and Agentic Systems) – Gaithersburg, MD, USA (Hybrid) OpenText’s AI Engineering and Enablement team is building the foundational components and developer experiences that power intelligent applications across our product portfolio.
Your Impact As a Principal Software Architect (GenAI Applications and Agentic Systems), you will serve as a senior engineer responsible for designing, building, and extending the agentic runtimes, orchestration flows, and shared GenAI services that form the backbone of our AI platform strategy. You will lead the implementation of reusable GenAI components such as agent frameworks, RAG pipelines, vector‑augmented retrieval services, and semantic memory. You’ll work in close partnership with architects and fellow engineers to productionalize fast‑moving incubation efforts, extend orchestration frameworks, and enable scalable agentic solutions that can be reused across products and deployment environments. This is a hands‑on role for an experienced AI systems engineer who can take ownership of complex capabilities, deliver robust implementations, and contribute directly to the enablement of AI‑powered applications across OpenText.
What the role offers
Designing and developing production‑ready components for GenAI applications, including agent workflows, tool execution layers, vector search integrations, and memory modules.
Implementing and optimizing
retrieval‑augmented generation (RAG)
pipelines, including embeddings, hybrid retrieval, and contextual grounding.
Building reusable
agent runtimes and orchestration logic , using frameworks like LangChain, LangGraph, CrewAI, or equivalent.
Participating in the development of
multi‑agent patterns , including asynchronous workflows and Agent‑to‑Agent (A2A) coordination.
Contributing to the integration of the
Model Context Protocol (MCP)
for standardized agent‑to‑tool and resource interactions.
Extending and integrating semantic reasoning into agent flows using
knowledge graphs
or other structured sources.
Collaborating with architects and cross‑functional teams to translate high‑level designs into modular, maintainable code.
Supporting internal enablement by delivering reference implementations, engineering documentation, and code‑level onboarding materials.
What you need to succeed
Writing clean, modular Python code using
FastAPI , with a strong understanding of system integration and runtime performance.
Applying and adapting frameworks such as
LangChain, LangGraph, CrewAI , or other orchestration platforms to enterprise use cases.
Designing agent workflows that incorporate
tools, memory, vector search, structured reasoning , and secure execution.
Understanding and implementing
A2A interaction flows
and integrating agents with tools and resources using
MCP .
Building scalable RAG systems, and optimizing embedding usage, query strategies, and semantic relevance scoring.
Working across the full development lifecycle from prototype to hardened implementation, with strong test and monitoring practices.
Collaborating with teams working in
Java
and
TypeScript
environments, contributing to cross‑language integration and API design.
Mentoring developers and reviewing pull requests to uphold engineering standards across agentic codebases.
What It Takes
10+ years of software development experience, including 2‑4 years focused on GenAI or agentic AI development.
Strong proficiency in
Python , with real‑world experience using
FastAPI
to build service‑oriented systems.
Direct experience implementing agent flows using
LangChain, LangGraph, CrewAI , or similar frameworks.
Experience implementing RAG pipelines, working with vector databases, embedding models, and hybrid retrieval strategies.
Working knowledge of
MCP
and
A2A
patterns, with hands‑on experience integrating agents, tools, and services into orchestrated flows.
Familiarity with
knowledge graphs
and structured reasoning models is a strong plus.
Ability to work with and around
Java
and
TypeScript -based applications, including REST and event‑driven interfaces.
Demonstrated ability to ship complex systems in collaboration with architects, product managers, and infrastructure teams.
Strong documentation and communication skills to support reusability and onboarding.
OpenText is more than just a corporation—it’s a global community where trust is foundational, the bar is raised, and outcomes are owned.
Join us on our mission to drive positive change through privacy, technology, and collaboration. At OpenText, we don’t just have a culture; we have character. Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference.
OpenText’s efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.
If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please submit a ticket at Ask HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText’s vibrant workplace.
Compensation:
At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. As you move through the hiring process, we’re happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.
Salary Range:
$190,890.00 – $313,605.00; Depending on the candidate’s education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.
#J-18808-Ljbffr