Senior Technical Specialist, AI Solutions : Delhi
Key Skills for This Role
Full Job Posting
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.
- What We're Looking For
Must have
- 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.
- Strong plus
- 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).
- Logistics
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- This is a customer-embedded role: you will be based on-site at client locations, working face-to-face with customer teams as the default mode of operation — not remote-first with occasional visits. Expect sustained, full-time presence at the customer's offices for the duration of each engagement.
- DevRev is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.
About DevRev
AI-powered platform unifying product, support, and engineering workflows into a single system, helping software companies build better products by connecting customer feedback directly to development.
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