Generative AI Solutions Analyst

🕒 August 20

🇮🇳 India – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧐 Business Analyst

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Quantanite

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤝 B2B

☁️ SaaS

B2B • SaaS • Customer Service

Quantanite is a leading provider of outsourced digital services that integrates people and advanced technologies to enhance customer experience and operational efficiency. Specializing in voice, email, and chat-based customer support, data management, and AI-driven recruitment solutions, Quantanite aims to optimize business processes and improve customer satisfaction. They offer a range of services including data annotation, transcription, and human resource solutions, all designed to help businesses attract more customers and streamline their operations.

📋 Description

• Lead or co-lead client discovery calls to understand operational problems • Propose solutions using agentic AI and knowledge graph patterns • Create Business Requirements Documents (BRDs) and High-Level Design (HLD) documents for engineering • Make architectural decisions regarding agentic systems, knowledge graphs, orchestration, cost, speed, accuracy, and complexity • Coordinate with QLabs engineering, product, and PMO through the BRD → HLD → TDD → Implementation → As-built process • Represent Solutions in client meetings, present solutions, answer technical questions, and build client confidence • Develop deep working knowledge of QiQ's agentic clusters, knowledge graph layers, KPI logic, and process adherence frameworks • Learn Quantanite's clients, contact centre/BPO domain, and go-to-market positioning • Progress toward independently representing Solutions and operating as a full Solutions Architect

🎯 Requirements

• Hands-on experience building agentic systems • Deep understanding of multi-agent orchestration and agent frameworks such as LangChain and LangGraph • Proven experience with RAG pipelines, prompt engineering, and LLM context window management • Experience with knowledge graphs or similar structured knowledge systems • Ability to assess current LLM capabilities and limitations • Understanding of cost, latency, and token-efficiency trade-offs in system design • Ability to decompose complex business problems into architectural solutions • Experience designing systems that scale in volume, complexity, and cost • Ability to reason through trade-offs and make justified design decisions • Business acumen and ability to identify root causes of client and stakeholder problems • Ability to articulate technical solutions in terms of impact, cost, risk, and timeline • Comfortable with client-facing conversations and requirements gathering • Strong written communication for authoring technical specifications • Strong verbal communication for presenting to clients and executives • Ability to handle real-time questions in meetings • Track record of seeing projects through from start to finish • Takes responsibility for outcomes and drives results in unclear or complex situations • Nice to have: experience in BPO, contact centre operations, customer experience, or customer success • Nice to have: familiarity with knowledge graph databases such as Neo4j • Nice to have: prior experience writing BRDs, HLDs, or technical specifications • Nice to have: experience with contact centre analytics, KPI frameworks, or quality assurance • Nice to have: background in sales engineering or solutions consulting • Nice to have: understanding of AWS, Azure, GCP, and containerization