01Overview
Key Responsibilities
Strategic Discovery: Engage directly with enterprise customers to break down complex processes, diagnose structural pain points, and map them directly to agentic Al opportunities.
Value Modeling & Proposals: Lead discovery workshops and current-state assessments to define the overarching solution vision, crafting compelling business cases and ROI/cost-savings models for client leadership.
Core Architecture Design: Translate complex business requirements into scalable, robust agentic Al architectures.
Multi-Agent Orchestration: Design complex multi-agent systems encompassing advanced orchestration, planning, memory frameworks, tool/function calling, Retrieval-Augmented Generation (RAG), and strict guardrails.
Technical Implementation & Prototyping: Select and integrate appropriate LLMs, vector stores, and enterprise software systems to build high-impact proof-of-concepts (PoCs) and reference designs.
Governance & Compliance: Establish crucial non-functional requirements including system scalability, latency, data security, observability, cost-efficiency, and responsible-Al controls.
Executive Technical Advisory: Present strategic blueprints and technical architecture trade-offs to senior client stakeholders (CXO/VP level) while guiding engineering teams through flawless delivery
Must-Have Skills & Experience
Years of Experience: 1018 years of total professional experience, with at least 3+ years directly focused on Al, automation, or digital transformation solutioning and architecture.
Al Technical Prowess: Hands-on experience building with modern agentic Al frameworks (e.g., LangChain/LangGraph, AutoGen, CrewAl), orchestrating LLMs, and deploying enterprise-grade RAG structures.
Consulting & Storytelling: Stellar client-facing communication skills, with a proven track record of facilitating workshops, authoring proposals, and explaining complex architectural concepts to business executives.
Financial & KPI Modeling: Ability to accurately model stream-specific business metrics (such as cost-to-serve, revenue leakage, or deflection rates) into tangible, architecture-driven savings.
Ecosystem Integration: Architecture and integration experience with major enterprise platforms relevant to your domain (e.g., Salesforce, SAP, Oracle, ServiceNow, Zendesk, Genesys, Cloud hyper-scalers, RPA engines like UiPath, or core Insurance platforms like Guidewire/Duck Creek).
Good-to-Have
Prior experience working within a management consulting firm, Big-4 transformation practice, shared-services environment, or a high-growth SaaS business.
Relevant industry or technical credentials, such as Cloud Architect certifications (AWS/Azure/GCP), TOGAF, Six Sigma process excellence, or insurance-specific designations (LOMA, III, ACORD standards). Active contributions to open-source Al/technical communities, or experience implementing process mining solutions .
