Lead Forward Deployment Engineer- Government Division

About Blue Machines

The role

What you'll do

• Own deployment delivery from scoping through UAT, go-live, and post-launch reporting.
• Lead complex deployments and integrations; present architecture, performance, and roadmaps to senior officials.
• Own security, hosting, and compliance conversations, including SDC/NIC, MeitY-empanelled cloud, and data residency.
• Lead technical solutioning for RFPs and proposals, including architecture, estimates, SLAs, and compliance responses.
• Run technical demos and pre-bid discussions; turn field learnings into platform priorities with product and engineering.

Must-haves

• Around 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 Python and/or TypeScript, APIs and integrations, SQL, AWS/GCP cloud infrastructure, and production monitoring.
• Practical experience shipping LLM systems, including prompting, RAG, function calling, evaluation, and guardrails.
• Proven delivery of complex systems to enterprise or public-sector clients under tight timelines and shifting requirements.
• Executive-level communication in English and Hindi, including writing and presenting to non-technical senior audiences.
• Willingness to travel and be on-site during critical deployment phases.

Good to have

• Direct experience delivering for central or state government, PSUs, or large government-funded programmes.
• Working knowledge of government procurement and delivery, including bids, work orders, UAT and sign-off, payment milestones, and audits.
• Gujarati or another regional language proficiency for future state deployments.

Preferred experience

• Voice or telephony experience, such as SIP, IVR, contact-centre platforms, or ASR/TTS vendors.
• Background at a system integrator, GovTech firm, or high-growth startup.

Benefits

• Deployments reach lakhs of citizens, with direct visibility among senior government leadership.
• Meaningful ownership over delivery of Indian-language voice AI for the public sector.