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
Skills Required
- Strong technical background in software engineering, solutions engineering, or a similar field
- Willingness to work closely with customers
- Ability to learn complex products deeply and configure them for varied enterprise contexts
- Backend or systems understanding, including APIs, integrations, and environments
- Clear communication with technical and non-technical stakeholders
- Comfort working across time zones in a distributed team
- Strong written English
- Experience in customer-facing technical roles such as 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
What We Do
Holistic AI empowers enterprises to adopt and scale AI with transparency, accountability, and safety. Its comprehensive and modular AI Governance platform serves as the single source of truth on AI usage across organizational use-cases, helping mitigate risks, reduce time to value on AI projects, and improve performance baselines. With role-based dashboards for risk posture management, automated workflows, AI discovery and inventory, the platform empowers enterprises to create, operate, and innovate confidently while ensuring regulatory compliance.
