Generative AI Solutions Analyst
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Job Description
Senior Solutions Analyst designing agentic AI and knowledge graph solutions for Quantanite’s QiQ contact centre analytics platform. Translating client problems into architectures, specifications, and implementations.
Responsibilities:
- 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
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