Senior Solutions Architect- India

Contenido del rol extraído en secciones para revisar más rápido.

Lead architecture and implementation for enterprise deployments that use Deepgram speech-to-text (STT), text-to-speech (TTS), and voice agent (VA) capabilities.
Own post-sales technical success for assigned accounts. Unblock integrations, optimize accuracy and latency, and guide customers to stable production.
Serve as the Tier-3 escalation point for complex issues. Drive root cause analysis, propose mitigations, and write durable fixes or automation when possible.
Design reference architectures and implementation patterns for common APAC customer use cases including contact centers, voice analytics, QA, and AI agents.
Build high-quality samples, internal tools, or scripts that make repeatable tasks easier for customers and for our team.
Contribute to pre-sales discovery and POCs when deep technical direction is needed. Translate business goals to a concrete plan with clear success criteria.
Partner with Product and Engineering to prioritize fixes and features. Bring crisp customer signals that improve our roadmap.
Contribute to knowledge systems. Capture runbooks, playbooks, and docs that scale your expertise across regions and languages.
Participate in an on-call or incident rotation appropriate for the region and customer support tier. Help us meet or outperform regional SLAs.

Based in an APAC time zone with reliable overlap to customer business hours across East Asia, Southeast Asia, and ANZ.
Excellent written and spoken English. Additional Asian languages are a strong plus, especially Japanese, Korean, Mandarin, or Hindi.
Familiarity with data privacy and enterprise security reviews common across APAC, for example Singapore PDPA, Japan APPI, Korea PIPA, Australia’s Privacy Act, and India’s DPDP Act.
Ability to travel within the region for critical customer milestones, estimated 10 to 20 percent.

Enjoy solving hard customer problems at the code, container, and cloud layers.
Like translating real-world constraints into clear architectures and plans.
Are comfortable writing and reading production-grade code, not just sample snippets.
Value crisp documentation, reproducible runbooks, and operational excellence.
Care about delivering outcomes, not just closing tickets.

5 or more years in Solutions Architecture, Solutions Engineering, or similar customer-facing technical roles.
Professional software engineering experience in at least one language such as JavaScript/TypeScript, Python or TypeScript. You can build POCs and tools that real users run.
Hands-on experience with modern cloud platforms. Comfortable with containerization and orchestration, for example Docker and Kubernetes, and with secure network design for API-driven systems.
Proven ownership of complex post-sales work such as production deployments, migrations, performance tuning, and incident response.
Clear written and verbal communication across both technical and executive audiences.

Experience with speech recognition, TTS, or building voice agents that orchestrate LLMs.
Familiarity with WER analysis, model selection and tuning, and accuracy-versus-latency tradeoffs.
Experience operating self-hosted systems, including Helm-based deployments and observability for production services.
Strong understanding of authentication, authorization, data residency, and compliance topics that appear in APAC enterprise reviews.
Fluency in one additional Asian language such as Japanese, Korean, Mandarin, or Hindi.

Remote across APAC with periodic regional meetups.
Collaboration with colleagues in EMEA and the Americas to support continuous coverage.
Shared playbooks, defined escalation paths, and measurable SLAs.

Recruiter screen focused on experience, motivations, and logistics.
Hiring manager conversation focused on technical depth and customer impact.
Technical assessment that mirrors real work. Expect practical coding, architecture discussion, and debugging.
Panel interviews with cross-functional partners.
Short presentation on a customer-facing technical win you led. Explain the problem, your approach, and measurable outcomes.