- London, Greater London
- 26 days ago
AI Outcome Engineer, Forward Deployed Engineering.
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AI Outcome Engineer, Forward Deployed Engineering: our view in 3 lines...
- The Role:This role focuses on shaping and delivering technical solutions for enterprise AI customers, bridging pre-sales evaluation and post-sales implementation.
- The Person:The person will partner with account teams during technical evaluations, diagnose and resolve complex customer implementation issues in code, serve as liaison to product and engineering teams, and steer implementation strategy.
- Requirements:The ideal candidate has 7 years of experience troubleshooting technical issues, system design or orchestration framework experience such as LangGraph, AutoGen, or CrewAI, and enterprise integration experience with APIs, identity, ECMs, cloud infrastructure, or AI/ML model deployments.
About the role
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 7 years of experience troubleshooting technical issues for internal/external partners or customers.
- Experience with technical delivery strategies and interfacing with product or engineering organizations.
- Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
- Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.
Preferred qualifications:
- Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript, etc.).
- Experience diving deep into novel technical problems, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions.
- Experience orchestrating specialized technical resources to execute complex builds.
- Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
- Excellent executive communication skills, capable of translating deep technical integration issues into business impact.
About the job
As an AI Outcome Customer Engineer in our GTM AI Tech organization, you will work as an enterprise architect, technical debugger, engineering liaison and technical delivery manager. You will bridge the gap between pre-sales agreement shaping and post-sales execution. Entering the agreement cycle during the technical evaluation phase for strategic AI accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery. Aligned with our Forward Deployed Engineering (FDE) organization, you will architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints).
Responsibilities
- Partner with Account teams and Practice Customer Engineers (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
- Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
- Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
- Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.
In most instances, this position requires in-person interviews as part of the hiring process.