Senior Technical Specialist, AI Solutions : Delhi
listed 13 days ago
Nirdisha removes a role 90 days after it was listed.
- Sector
- SaaS
- City
- Remote
- Experience
- 3 to 5 years
- Role family
- Other
- Salary
- Not disclosed
- Posted
- 24 Aug 2026 · 1 week ago
- Last checked
- 7 Sept 2026
About the role
About DevRev
At DevRev, we're building the future of work with Computer – your AI teammate. Unlike traditional tools, Computer unifies all your data sources, tools, and workflows into a single AI-ready platform, giving employees real-time insights, proactive suggestions, and powerful agentic actions. It extends your existing software with AI-native apps and agents that work alongside your teams and customers – updating workflows, coordinating across teams, and eliminating repetitive work. We call this Team Intelligence: human-AI collaboration that breaks down silos, brings people back together, and frees you to solve bigger problems. Backed by Khosla Ventures and Mayfield with $150M+ raised, DevRev is trusted by global companies across industries.
Role Overview
This is a hybrid role at the intersection of solution design and hands-on delivery. You will own enterprise engagements end to end: run technical discovery, design the solution, then build, deploy, and harden production agentic systems inside the customer's environment. You are the person who designs the agent architecture on the whiteboard on Tuesday and debugs its state machine in production on Thursday. You will work directly with customer engineering, operations, and executive teams — translating messy real- world workflows into deterministic, reliable AI agents on the DevRev platform, and proving business impact with numbers, not slideware. This is not an advisory role. You will be measured on working systems in production and the outcomes they
What You Will Do
Discover & Design
- Lead technical discovery: map customer workflows, systems of record, and failure modes; identify where agentic automation creates measurable economic impact (cost per case, resolution time, deflection).
- Build and deliver PoCs and proofs of value on live customer data and systems — not canned environments.
- Translate business problems into agent architectures: orchestration design, state management, tool/skill decomposition, guardrails, and escalation paths.
- Shape SOWs, solution designs, and delivery plans with defensible technical scope and effort estimates.
Build & Deploy
- Implement production agents on the DevRev platform: agent instructions, deterministic workflows, skills, and integrations with enterprise systems (CRM, ERP, payments, core operational APIs).
- Own reliability: design evaluation harnesses, debug agent failures (hallucination, state drift, loops, guardrail leakage), and iterate to production-grade adoption.
- Drive integration work hands-on — REST APIs, webhooks, auth flows, data mapping — in collaboration with Product and Engineering.
- Instrument and report outcomes: adoption, containment, accuracy, and cost metrics that stand up in a QBR.
Scale & Enable
- Convert engagement learnings into reusable assets: reference architectures, playbooks, sandbox environments, and internal tooling.
- Enable partner engineers and integrators to deliver independently; run workshops and bootcamps.
- Feed structured field signal to Product: what breaks, what's missing, what competitors are doing.
The rest of this description is on the employer’s own page.
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