b Overview /b p As an AI Outcome Customer Engineer in Googles Forward Deployed Engineering, you lay the technical groundwork during evaluations, shaping enterprise AI design and ensuring secure integration with customer data ecosystems. You work closely with account teams to drive adoption and resolve complex deployment challenges, translating field feedback into actionable improvements. You serve as a technical liaison to Product and Engineering, guiding delivery strategy and ensuring solutions align with customer IT constraints. This role combines architecture, debugging, and cross-functional influence to accelerate rollout in enterprise settings. /p b Responsibilities /b ul li Partner with account teams and CEs during technical evaluation phases to assess feasibility and shape long-term adoption /li li Lead upfront technical design for enterprise AI solutions, ensuring secure integration with data pipelines, identity providers, and compliance boundaries /li li Diagnose complex customer implementation issues, identify core product bugs, and validate workarounds /li li Act as liaison to Product and Engineering to troubleshoot deployment blockers and translate field feedback into feature requests /li li Steer implementation strategy with technical authority and architectural foresight while delivering with customer-facing teams /li li Align technical delivery with customer IT ecosystems, including connectors, identity, data residency, and legal constraints /li li Bridge pre-sales agreement shaping and post-sales execution within the AI-focused Forward Deployed Engineering scope /li /ul b Key requirements /b ul li 3 years of experience with cloud native architecture in a customer-facing or support role /li li Experience with technical delivery strategies and interfacing with product or engineering organizations /li li Experience in system design or reading code (Java, C++, Python) /li li Experience in system design or orchestration frameworks (LangGraph, AutoGen, CrewAI) /li li Experience with enterprise integrations (APIs, ECMs, identity), Cloud infrastructure, or AI/ML model deployments /li /ul ul li Excellent executive communication and ability to influence technical stakeholders /li li Problem solving in novel and ambiguous environments /li li Stakeholder engagement and cross-functional collaboration /li li Cloud native architecture /li li System design and code literacy (Java, C++, Python) /li li Orchestration frameworks (LangGraph, AutoGen, CrewAI) /li /ul
AI Outcome Customer Engineer IV, Google Cloud employer: Google
As a Senior Manager in Ads Solutions Engineering at gTech, you will thrive in a dynamic and innovative environment that prioritises collaboration and professional growth. The company fosters a culture of continuous learning and development, offering ample opportunities to lead transformative projects while working with cutting-edge technologies. Located in a vibrant tech hub, gTech provides a unique chance to engage with top-tier clients and contribute to impactful solutions that drive success.
