Senior Technical Specialist, AI Solutions : Delhi

About this role

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Skills you'll use

What you'll 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.
• 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.
• Convert engagement learnings into reusable assets: reference architectures, playbooks, sandbox environments, and internal tooling.

Who can apply

• 8–10 years in customer-facing technical roles (forward-deployed / field engineering, solution delivery, technical specialist roles) in B2B SaaS or enterprise software.
• Hands-on experience building LLM-based systems in production: agent orchestration, prompt and context engineering, RAG, tool/function calling, and evaluation. You have shipped something real, with users, and can walk us through its failure modes.
• Strong engineering fundamentals: proficient in Python or JavaScript/TypeScript; fluent with REST APIs, webhooks, and integration patterns; comfortable with SQL and working directly in customer data.
• Strong discovery and solutioning craft: stakeholder workshops, PoCs, and technical scoping with clear effort estimates.
• Executive-grade communication: you can whiteboard an architecture for engineers and frame ROI for a CXO in the same meeting.
• Operates well in ambiguity: unstructured environments, contested stakeholder maps, shifting scope. Bias to ownership.
• Experience with deterministic workflow / state-machine design for AI agents, and with making non- deterministic systems reliable enough for regulated or high-volume operations.
• Production experience in complex enterprise domains: airlines, BFSI, telecom, manufacturing, or similar multi-system environments.
• Familiarity with CRM/CX platforms (Salesforce, Zendesk, ServiceNow), cloud platforms (AWS/Azure/GCP), and modern DevOps tooling.
• Exposure to AI-assisted development workflows (Cursor, Copilot, Claude Code).

About DevRev

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