Lead Consultant

As part of OpenText’s AI first strategy, we are forming a Forward Deployed Engineering (FDE) team to harness the power of our legacy data mastery with the next generation of Agentic AI.

Unlike the current bandwagon approach to all things LLM powered, OpenText is building on our natural moat: enterprise data management for the biggest brands in the world.

For 35 years, OpenText has been the custodian of the world’s most critical data; we hold unrivaled, enterprise grade trust in a market where access to data, the right to manipulate it, and the expertise to leverage it for business outcomes is paramount

Your Impact As a Forward Deployed Engineer, you won’t just build AI—you’ll redefine how it delivers value in the enterprise.You’ll embed directly with some of the world’s largest organizations, working side-by-side with business and technical leaders to turn complex challenges into scalable, agentic AI solutions.

From problem discovery to production deployment, you’ll own the full lifecycle—rapidly building solutions that deliver measurable outcomes in weeks, not months.

This role sits at the center of everything: client engagement, product innovation, and go-to-market strategy.

You’ll act as both builder and advisor—translating business needs into technical solutions, influencing product direction with real-world insights, and helping shape how OpenText brings AI to market.

If you’re excited by the idea of combining deep data expertise with cutting-edge AI—and seeing your work drive real transformation—this is your opportunity to make a lasting impact.

• Work directly with strategic global clients to design and deliver agentic AI solutions at scale
• Build and deploy production-grade AI agents using proprietary enterprise data
• Move fast—take ideas from discovery to live deployment in weeks
• Act as the critical bridge between business stakeholders and technical teams
• Influence product development through real-world client insights
• Partner with Sales and GTM teams to shape positioning and client value narratives
• Deliver measurable business outcomes and create repeatable success stories

• Leverage OpenText’s extensive client knowledge repositories to understand operations and business workflows
• Accelerate use case validation using existing data and deep domain understanding
• Apply data science expertise to extract insights and demonstrate business mastery

• Design, build, and ship production-grade AI agents leveraging OpenText’s proprietary data and tools

Iteration at Speed

• Progress from problem statement to functional PoC in weeks, followed by rapid production deployment
• Collaborate closely with Product and Development to inform enhancements

• Bring client success stories back into OpenText to influence product, sales, and GTM strategy
• Help define best practices and scale successful AI use cases

The “Cool Geek” Aura You’re a technologist at heart who also loves people.

You’re as comfortable writing code for a GenAI agent as you are eliciting business context from a client over lunch.

Domain Agnostic You adapt quickly across industries, from healthcare to financial services and beyond.

Ownership You take initiative, drive outcomes, and take pride in delivering meaningful results.

Respect the Foundation, Build the Future You recognize the power of enterprise data and are excited to unlock its potential with AI.

• Proficiency in Python, SQL, and at least one additional language (Java, Go, or TypeScript)
• Experience with large-scale data technologies (e.g., Spark, Kafka) and data architecture fundamentals
• Hands-on experience with LLMs, multi-agent systems, prompt engineering, and vector databases (LangChain/LangGraph required)
• Proven track record of deploying production systems for enterprise organizations with measurable impact
• Strong data science capabilities to extract insights and understand client data deeply
• Excellent communication skills—able to engage executives and developers alike
• Ability to quickly adapt across domains and problem spaces
• Willingness to travel (~25%) to work directly with clients

One Last Thing OpenText is more than a company—it’s a global community built on trust, high standards, and accountability.

This is a rare chance to join a pioneering AI team, work at the forefront of enterprise innovation, and play a defining role in shaping the future of AI at scale.

OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in our Equal Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, 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 contact us at hr@opentext.com .

Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing.

A summary of those benefits can be found on our Why Join Us page.

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.

Range: $116,200 - $174,200; 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.

California Residents: The pay range above is a reasonable estimate of salary based on pay scale, candidate experience, skills, and education.

In addition to the comprehensive benefits noted above, the role may be eligible for bonus or commissions.

AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications.

These tools are designed to improve efficiency, reduce bias, and enhance candidate experience.

All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.