
Job Description
Ovii's Interpretation of the Role
The Forward Deployed Engineer bridges sales, engineering, and service teams to deliver end‑to‑end AI model deployments for enterprise clients. The role drives system design, full‑stack implementation, and adoption while feeding field insights back to product and research.
Role Snapshot
- Technical bridge between sales, engineering, and service delivery
- Lead end‑to‑end AI/LLM deployments
- Full‑stack system design and production rollout
- Customer‑facing solution delivery
- Cross‑functional collaboration with research, security, and GTM
- Create tools, playbooks, and reusable building blocks
Must-Have Requirements
- Python
- JavaScript
- Full‑stack development
- Large language model deployment
- Production‑grade code
- Stakeholder communication
- GCP Professional‑level certification (within 90 days)
- engineering deployment
- cloud platform experience
- customer‑facing engagements
- LLM deployment
- GCP Professional-level certification
- Visa sponsorship not provided
Nice-to-Have Signals
- Google Cloud Platform (GCP) experience
- Azure experience
- AWS experience
- Risk management
- Consultative stakeholder engagement
- GCP experience
Work Setup
- Location: Bengaluru, Pune
Eligibility Gates
- Visa sponsorship: no
Not Specified in JD
- Salary range
- Remote eligibility
- Location
- Travel requirements
What You'll Likely Work On
- Identify and architect AI‑driven opportunities within client environments
- Lead end‑to‑end technical delivery from prototype to production‑ready deployment
- Design and build full‑stack systems that maximize customer value
- Collaborate with customer teams to drive seamless adoption of solutions
- Manage project scoping, delivery sequencing, and mitigation of technical blockers
- Write high‑quality production code and contribute to shared codebases
- Develop tools, playbooks, and modular components for organization‑wide best practices
- Provide field feedback to research and product teams to improve model performance
Good Fit If You Have
- Strong GCP experience (preferred) and cloud platform fluency
- Excellent communication and stakeholder‑management abilities
- Comfort operating in fast‑paced, ambiguous environments
Skills
- Python
- JavaScript
- Full‑stack development
- Google Cloud Platform (GCP)
- Azure
- AWS
- Large language model deployment
- Production‑grade code
- System architecture
- Stakeholder communication
- Risk management