Forward Deployed Engineer (AI Solutions) - APAC Market

5 hours ago

Sydney, AustraliaEntry Level / Mid Level

Responsibilities

Lead customer discovery and design sessions to map processes, identify automation opportunities, and define solution architecture.
Design, build, and deploy low-code integrations using orchestration platforms, CRM automation tools, and API connectors.
Configure and optimize the AI Agent, including intents, prompts, actions, guardrails, evaluations, monitoring, and performance metrics.
Manage cross-functional deployments by defining timelines, aligning stakeholders, maintaining accountability, and delivering within scope.
Create reusable templates, playbooks, models, and reference architectures for scalable deployments.
Collaborate with Engineering and Product to validate feasibility, resolve blockers, improve the platform, and inform the roadmap.
Train peers, run workshops, document best practices, and enable system integrators and channel partners.
Run targeted outbound campaigns and collaborate with GTM leadership, account executives, and account managers to drive adoption and product pipeline.
Own regional top-line targets and act as an internal product owner for AI Voice Agent strategies within the GTM function.
Track AI and customer experience industry trends and feed customer and integration insights into product and GTM strategy.

0-6+ years of experience in technical consulting, solutions engineering, or integration-focused project management.
Client-facing experience is required.
Strong command of APIs, webhooks, JSON, REST, and GraphQL, with the ability to design and troubleshoot integrations.
Practical understanding of AI workflow configuration, prompt engineering, evaluation, and monitoring.
Hands-on experience with Zapier, Make, n8n, Workato, HubSpot, or Salesforce automation tools.
Demonstrated ability to lead cross-functional projects with Engineering, Product, and Customer Success.
Strong communication and stakeholder management skills for translating between technical and business audiences.
Experience with MCP Servers is an advantage.
Experience with telephony, voice, or contact center systems such as SIP or WebRTC is preferred.
Familiarity with Looker, BigQuery, or Snowflake is preferred.
Exposure to JavaScript or Python for light customization and debugging is preferred.

Competitive salary package and benefits.
Work-life balance is emphasized in a fast-learning, entrepreneurial, and multicultural environment.
The role offers cross-functional exposure to AI innovation, customer experience, scalable delivery, product strategy, and revenue growth.
The position supports team learning, enablement, and professional development.

Google BigQueryGraphQLJavaScriptMakePythonSnowflake

501-1,000 employees