Overview
Forward Deployed Engineer role working with Sales, Engineering and Service Delivery teams to drive complex end-to-end deployments of frontier models and agentic solutions for customers, from discovery and scoping through production rollout.
What you'll do
- Explore and ideate opportunities in GTM teams to drive and scale the adoption of agentic solutions, complex data models, and intricate workflows
- Map out the sales journey and create an end-to-end blueprint to identify opportunities for AI and agentic ways of working
- Enhance sales productivity through smart and personalized approach to workflow automation
- Own technical delivery across multiple deployments from prototype to stable production
- Build full-stack systems that deliver customer value and sharpen how we learn
- Have architectural bent of mind, innovative thinking, real-time creation and demo of potential solutions, and knowledge of business workflows and industry solutions
- Embed closely with account teams, understand their needs, and guide adoption of what you build
- Scope work, sequence delivery, and remove blockers early
- Make trade-offs between scope, speed, and quality; adjust plans to protect delivery
- Codify working patterns into tools, playbooks, or building blocks that others can use
- Hands-on-keyboard: over 60% of your work will involve coding and agent development and deployment
- Share field feedback that helps Research and Product understand where the models succeed and where they can improve
- Keep teams moving through clarity and follow-through
- Build strong relationships with key stakeholders and decision-makers to drive customer success and satisfaction
- Put on consulting hat during stakeholder engagements and drive full stack thinking around both business and technology levers
- Design and propose fit-for-purpose agentic solutions for clients based on your research and their needs
- Prepare demonstrations and proof of concept environments based on client requirements
- Provide general support to the team on new products and technology in the market
What you'll need
- 5+ years of experience working within Google Cloud Platform (GCP) or Azure/AWS
- Professional level certification in GCP
- 7+ years of engineering or technical deployment experience that includes customer- or internal stakeholder-facing work
- Scope and deliver complex systems in fast-moving or ambiguous environments
- Expertise in production-grade code across frontend and backend using Python, JavaScript, or comparable stacks
- Have built or deployed systems powered by LLMs or generative models and understand how model behaviour affects product experience
- Drive solutions from ambiguity to simplicity in a fast paced environment within tight deadlines
- Strong communication, clarity of thoughts, full-stack approach, and leadership to drive critical decisions with engineers, product teams, and customer stakeholders
- Comfortable working at all levels of leadership, including CXOs
- Foresight, risk management, and runtime adjustments without impacting customer experience
Nice to have
- Experience strategizing, designing, architecting, and leading the deployment of scalable solutions on GCP (strongly preferred)
- FDE training and certification
- Experience with LLM systems preferably in Google stack or Anthropic
Details
Read the full description and apply on the company’s own careers page.