Configure and implement Holistic AI for enterprise pilots and production deployments. Translate customer requirements into product configurations and integration patterns, troubleshoot backend deployments, advise on architecture, document runbooks, and relay product feedback to Engineering and Product. Partner with Account Management on complex engagements and communicate with technical and non-technical stakeholders across distributed teams.
Forward Deployed Engineers sit where product, engineering and customers meet. You'll configure and implement Holistic AI for enterprise deployments, make sure it works in real customer environments, and feed what you learn back to Product and Engineering.
This is hands-on delivery work with technical depth, not a UI-only or support-only role. Strong engineers who prefer customer deployment to core platform work may be an excellent fit.
What you'll do
- Lead or support the technical configuration and implementation of Holistic AI for customer pilots and production deployments.
- Translate customer requirements into workable product configurations and integration patterns.
- Use deep product knowledge and backend understanding to troubleshoot deployments and advise on architecture choices.
- Partner with Account Management on complex customer engagements.
- Document deployment patterns, runbooks and customer-facing technical guidance.
- Surface product gaps and feedback to improve the platform for future deployments.
What you'll bring
- A strong technical background in software engineering, solutions engineering or similar, and a willingness to work closely with customers.
- The ability to learn a complex product deeply and configure it for varied enterprise contexts.
- Backend or systems understanding (APIs, integrations, environments), not front-end only.
- Clear communication with technical and non-technical stakeholders.
- Comfort working across time zones in a distributed team, and strong written English.
Nice to have
- Experience in customer-facing technical roles: solutions engineering, implementation, professional services or field deployment.
- Experience with AI/ML products, or governance, security or compliance tooling.
- Familiarity with cloud deployment patterns and enterprise IT constraints.
Location and working model
- Bangalore, India.
- Remote, in a distributed team.
- Customer-facing work as needed for deployments and workshops.
Compensation
Indicative salary: $50,000 USD. We offer competitive benefits; details are shared during the hiring process.
Interview process
- HR screen
- Hiring manager interview
- Technical assessment
- Task or skills assignment
- Culture fit
- Offer
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