AI Process Forward Deployed Engineer

Lever, Inc.; Saudi Arabia; On-site; SAR 180,000 - 300,000; Full time

Benefits offered by this job

Fully remote work

Home office budget

Flexible time off

Salary transparency

Stock option plan

Healthcare benefits

Wellbeing support

Learning budget

Team offsites

Job summary

Lever, Inc. in Saudi Arabia is seeking an AI Process Forward Deployed Engineer to own customer deployments from setup to measurable improvement.

You will work across Java services and React interfaces, configuring platforms, debugging integrations, and building custom AI agents while collaborating with customers and internal teams. You will operate in a global, remote environment with significant autonomy, travel occasionally, and influence product evolution and deployment practices.

Qualifications

• Proven experience delivering and operating software in enterprise production environments.
• Strong software engineering capabilities across distributed systems.
• Experience with Java-based services and React interfaces or similar stacks.
• Hands-on experience with AI technologies, including AI-powered applications and agent testing.
• Ability to explain BPMN workflows and complex concepts to engineers and business stakeholders.
• Comfort operating in ambiguous environments and documenting best practices.
• Experience in customer-facing engineering or professional services is a plus.
• Familiarity with regulated industries is advantageous.

Responsibilities

• Own end-to-end deployment journey from initial process file to production workflow.
• Establish successful customer outcomes and measurable improvements during deployment.
• Build and customize product capabilities, including AI agents and skill files, addressing issues in real deployments.
• Configure platform environments, clusters, and integrations; troubleshoot distributed systems.
• Develop custom agents and integrations to meet customer needs.
• Collaborate with engineering, architecture, business, and customers to drive adoption.
• Document lessons learned and create repeatable deployment playbooks.
• Train customer teams for autonomous operation post-handoff.
• Share deployment insights with product and platform teams.
• Travel occasionally to support engagements.

Skills

Software engineering

Java

React

Distributed systems

AI agents

Customer-facing

Problem solving

Tools

BPMN

APIs

Kubernetes

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an AI Process Forward Deployed Engineer based in Saudi Arabia.

This is a high-impact engineering role focused on bringing AI-powered process automation into enterprise production environments. You’ll own customer deployments from initial workflow setup through measurable improvement and successful handoff. The role combines hands-on software engineering, distributed systems, AI agents, workflow orchestration, and customer-facing technical leadership. You’ll work across Java services and React interfaces while configuring platforms, debugging integrations, and developing custom solutions. Your work will directly influence product evolution, deployment practices, and reusable engineering patterns. The environment is global, remote, collaborative, and designed for engineers who are comfortable operating with significant autonomy and ambiguity.

Accountabilities

• Own the end-to-end deployment journey, from the initial process file through a production workflow that continuously improves based on measurable results.

• Establish successful customer outcomes, including achieving an operational workflow and active improvement loop within the initial deployment period.

• Build and customize product capabilities, including features, AI agents, and skill files, while addressing bugs and technical limitations encountered in real-world deployments.

• Configure platform environments, including clusters and integrations, and troubleshoot complex failures across distributed systems and enterprise technology stacks.

• Develop custom agents and integrations when standard platform capabilities do not adequately address customer requirements.

• Work closely with engineering, architecture, business, and customer stakeholders to drive organizational adoption and turn initial deployments into sustainable capabilities.

• Capture lessons learned, document successful implementation patterns, and build a repeatable deployment playbook that improves future implementations.

• Train and enable customer teams so they can independently operate the solution and act on ongoing improvement results after the handoff.

• Contribute engineering insights from customer deployments directly back into product development and platform evolution.

• Travel occasionally when required to support customer or team engagements.

Requirements

• Proven experience delivering and operating software in enterprise production environments, with a strong understanding of governance, resilience, reliability, and operational requirements at scale.

• Strong software engineering capabilities, including the ability to debug integrations, build custom agents against APIs or legacy systems, configure platform clusters, and work across distributed systems.

• Experience working with Java-based services and React interfaces, or the ability to quickly operate across comparable technology stacks.

• Practical production experience with AI technologies, including AI-powered applications, prompt engineering, context management, agent testing, and evaluating integration trade-offs.

• Ability to understand and explain generated BPMN workflows and technical concepts to both engineering teams and business stakeholders.

• Strong customer and stakeholder communication skills, with the ability to adapt technical discussions for engineering, architecture, and business leadership audiences.

• Demonstrated ability to operate effectively in ambiguous environments, make sound technical and operational decisions, and document emerging best practices.

• Experience working in customer-facing engineering, solutions engineering, or professional services environments is a plus.

• Familiarity with regulated industries such as financial services, healthcare, or insurance is advantageous.

• Production experience with agentic systems or AI-integrated workflows is a plus.

• Contributions to shared platforms or open-source projects are valued.

• Ability and willingness to use the product as part of the role.

• Willingness to travel occasionally as required.

Benefits

• Fully remote and flexible working environment.

• Home office budget and support for coworking spaces.

• Flexible time off.

• Competitive, location-based compensation with transparent salary structures.

• Equity through a Virtual Stock Option Plan where applicable.

• Locally tailored healthcare benefits.

• Global mental wellbeing support through Modern Health.

• Live Well Lifestyle Spending Account supporting health, family, personal interests, experiences, and financial wellbeing, launching in 2026 and scaling to €1,000 annually from 2027.

• Retirement and pension plans, often including company contributions.

• Life and disability insurance where applicable.

• Annual learning and development budget of up to $/€/£1,000 for courses, certifications, books, and other self-directed learning.

• Annual company kickoff events, team offsites, local gatherings, and connection budgets that support meaningful in-person collaboration.

• Inclusive global environment with opportunities to work alongside diverse teams and cultures.