Wonderful - Forward Deployed Engineer

About the role

You will act as a primary technical partner for enterprise clients, translating their complex operational needs into functional AI agent deployments. This role involves managing the entire lifecycle of a project, from initial discovery and system architecture to final production rollout and performance tuning. You will serve as the main point of contact for strategic technical decisions, ensuring that every solution aligns with client business objectives and long-term operational constraints. The position demands a balance between deep technical execution and consultative communication, where your expertise directly shapes the success of critical deployments. You will be responsible for turning ambiguous requirements into well-defined system behaviors while maintaining a sharp focus on reliability and scalability. This is a hands-on role where your code and design choices will be reflected directly in live enterprise environments. Success in this position will depend on your ability to bridge the gap between sophisticated AI capabilities and the practical realities of enterprise infrastructure.

Key facts

What you'll do

• Analyze client workflows to identify automation opportunities and define quantifiable success metrics for AI implementations.
• Architect and implement AI-driven solutions that integrate securely with existing enterprise infrastructure and legacy systems.
• Manage the end-to-end deployment of intelligent agents, ensuring system reliability, scalability, and optimal operational performance.
• Validate solutions using live production data and iteratively refine agent behavior based on observed real-world outcomes and feedback loops.
• Coordinate closely with internal product and engineering groups to enhance delivery standards, tooling, and best practices across engagements.
• Develop comprehensive internal documentation and reusable implementation templates to streamline future customer solutions and reduce delivery friction.
• Translate complex technical concepts into clear narratives for non-technical stakeholders, aligning technical trade-offs with business priorities.
• Monitor deployed systems proactively, identifying performance bottlenecks and orchestrating rapid responses to operational incidents.
• Evaluate emerging AI capabilities and assess their applicability to client problems, ensuring solutions remain cutting-edge yet pragmatic.
• Collaborate with cross-functional teams to design data strategies that support robust agent decision-making and accurate reporting.
• Conduct post-implementation reviews to capture lessons learned and drive continuous improvement in both methodology and technology stacks.
• Support the sales process by providing technical demonstrations and proof-of-concept work that de-riskes potential client commitments.
• Maintain a disciplined approach to version control, testing, and deployment pipelines to ensure high-quality, auditable solution releases.
• Act as a thought partner in scoping exercises, helping clients understand the implications of their automation and AI strategies.

Requirements

• Bring a minimum of 5 years of professional experience in software engineering or related technical problem-solving roles in production environments.
• Demonstrate advanced proficiency in system design and architectural thinking, with the ability to model complex interactions between services.
• Show a proven ability to manage intricate integrations and data pipelines that connect diverse technologies and stakeholders.
• Exhibit comfort navigating ambiguous project requirements, making sound decisions with limited initial direction and minimal supervision.
• Possess strong communication skills that enable you to explain sophisticated technical concepts clearly to non-technical stakeholders and executives.
• Hold a strong sense of accountability for project outcomes, with a relentless focus on production stability and long-term maintainability.
• Have hands-on experience with at least one modern programming language and familiarity with software development lifecycle best practices.
• Commit to working within the hybrid schedule based in Mexico City, with readiness to engage directly in client-facing scenarios when required.

Nice to have

• Previous experience in customer-facing, solutions engineering, or forward-deployed roles where technical depth meets stakeholder communication.
• Background in building, deploying, or maintaining AI agents, automation workflows, or conversational interfaces in operational settings.
• Practical experience monitoring, troubleshooting, and optimizing systems that are actively running in production environments.

Practical notes

This position is based in Mexico City and requires a hybrid work schedule that balances remote and in-office collaboration. Applicants must be prepared to work directly with enterprise clients to solve high-stakes business problems, often under tight timelines and evolving requirements. Travel may be necessary to support client engagements, and flexibility with scheduling across time zones is essential. Successful candidates will need to secure the appropriate work authorization and visa documentation for Mexico, ensuring full compliance with local employment regulations. The role demands a proactive mindset and a commitment to continuous learning as technologies and client expectations evolve.