Forward Deployed Engineer
Engineering · Posted 5 days ago
We are looking for a Forward Deployed Engineer with 2+ years of experience to own end-to-end AI deployments at Fortune 500 customers in financial services and semiconductors. You are a systems thinker who sits at the intersection of engineering, product, and business — someone who has led AI implementations at enterpri...
- Way of working
- On site
- Location
- New York, NY, San Francisco, CA
- Pay range
- $160,000 to $220,000
- Level
- Mid
- Experience
- 2 to 6 years
- Type
- Full time
- Visa sponsorship
- Not offered for this role
- The company
- Technology,Information and Internet · under 20 people
Skills that matter here
The full description
We are looking for a Forward Deployed Engineer with 2+ years of experience to own end-to-end AI deployments at Fortune 500 customers in financial services and semiconductors. You are a systems thinker who sits at the intersection of engineering, product, and business — someone who has led AI implementations at enterprises, understands agent-driven development, and can translate complex business problems into platform-level solutions. This is a founding-level opportunity to build out Context's deployment function, working directly with logos like KKR and Qualcomm. You'll have extremely high ownership, managing entire customer accounts from executive stakeholders down to end business users.
What will you be doing?
- Owning entire enterprise customer accounts end-to-end — strategizing, deploying, and scaling AI agent systems across firms in private equity, investment banking, insurance, tax & audit, and semiconductors
- Embedding directly with Fortune 500 customers to deeply understand their workflows, pain points, and business problems, then architecting agentic solutions on the Context platform
- Feeding product insights from customer deployments back into Context's core platform, shaping the product roadmap based on real-world signal
- Collaborating closely with the founding FDE team and C-suite to determine deployment strategy, staffing needs, and how to scale the function
- Building custom AI workflows, data integrations, and agent systems tailored to customer needs — working within platform constraints and pushing the boundaries of what's possible
Interested in this one?
There is no apply button here on purpose. Tell us about yourself, we book a short call, and if this role fits we walk you through the company and ask before anything is sent. Always free for you.
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