Lead Forward Deployment Engineer- Government Division
Role Overview
Own technical delivery of government deployments and lead the Forward Deployed Engineering team.
Remain hands-on with difficult deployments and serve as a trusted technical contact for senior officials.
Partner with the Division head on proposals, pricing inputs, and delivery commitments.
Key Skills for This Role
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About Blue Machines
Blue Machines is an enterprise Voice AI platform that enables organisations to communicate with millions of people in their own languages.
Its Government Division runs production voice AI for state departments; the GCAS AI Assistant in Gujarat serves 3.75 lakh applicants across 2,461 colleges at 99.96% accuracy.
The division is scaling across departments and states.
Role
Own technical delivery of government deployments and lead the Forward Deployed Engineering team.
Remain hands-on with difficult deployments and serve as a trusted technical contact for senior officials.
Partner with the Division head on proposals, pricing inputs, and delivery commitments.
What You’ll Do
- Own deployment delivery from scoping through UAT, go-live, and post-launch reporting; lead complex or high-stakes integrations.
- Present architecture, performance, and roadmap to senior officials, including IAS-level stakeholders and department heads.
- Own technical conversations about data security, hosting, and compliance, including SDC/NIC, MeitY-empanelled cloud, and data residency.
- Lead RFP and proposal solutioning, including architecture, effort estimates, SLAs, and technical compliance responses; run demos and pre-bid discussions.
- Convert field learnings into platform priorities with product and engineering, representing the government customer internally.
Must-Haves
- About 10 years in software engineering, including 4+ years in client-facing deployment, solutions, or implementation engineering.
- At least 2 years leading engineers formally or as a tech lead across multiple concurrent deployments.
- Hands-on skills in Python and/or TypeScript, APIs and integrations, SQL, AWS/GCP cloud infrastructure, and production monitoring.
- Practical experience shipping LLM-based systems, including prompting, RAG, function calling, evaluation, and guardrails.
- Proven delivery of complex systems to enterprise or public-sector clients under tight timelines and changing requirements.
- Executive-level written and spoken English and Hindi, including presenting to non-technical senior audiences.
- Willingness to travel and work on-site during critical deployment phases.
Good to Have and Preferred
- Direct central or state government, PSU, or large government-funded programme delivery experience is a plus.
- Working knowledge of government procurement and delivery, including RFPs, technical bids, work orders, UAT, sign-off, payment milestones, and audit expectations, is a plus.
- Gujarati or another regional language is advantageous for future state deployments.
- Voice or telephony experience with SIP, IVR, contact-centre platforms, or ASR/TTS vendors is preferred.
- Experience at a system integrator, GovTech firm, or high-growth startup is preferred.
Benefits
- Deployments reach lakhs of citizens, with direct visibility to senior government leadership.
- The role offers meaningful ownership over delivery of Indian-language voice AI to the public sector.
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