Agentic Architect

Description

Summary: Seeking an Agentic Architect to design scalable and reusable AI agents for SDLC and business processes, leveraging expertise in multi-agent systems and AI-native architecture. Highlights: 1. Design scalable & reusable AI agents 2. Expert in multi-agent systems & automation 3. Define AI agent typologies & architecture **Accenture Technology** powers our clients to achieve high performance. We combine business and industry insights with innovative technology to drive growth for your business. We extend our technology and business capabilities through a powerful alliance ecosystem of market leaders and innovators to provide our clients the best specialized skills and tailored solutions. **Job Summary** We are seeking a highly qualified professional to join our team as an **Agentic Architect**. As an essential part of our team, you will be responsible for designing scalable and reusable AI agents for both software development lifecycle (SDLC) and business processes. We are looking for an expert in multi\-agent systems, automation, and AI\-native architecture who can translate complex workflows into efficient agentic solutions. **Qualifications** * Proven experience in designing **multi\-agent systems or complex process automation** (minimum of 3 years) * Strong knowledge of **agent frameworks** such as LangChain, LangGraph, Semantic Kernel, AutoGen, BMAD, or equivalent * Experience with **Agentic RAG, Knowledge Graphs**, and persistent memory architectures * Solid understanding of modern **SDLC processes** (Agile/Scrum, CI/CD, testing, code review) and their automation * Strong proficiency in **Python**, with the ability to prototype agents independently * Experience with **Azure AI Foundry, Azure OpenAI**, or equivalent cloud platforms * Ability to model business processes and translate functional requirements into scalable agent architectures * Strong analytical and problem\-solving skills **Responsibilities** * Map and document SDLC and business workflows for automation and agentification (requirements, design, code, test, deploy, monitor) * Define agent typologies (autonomous, assisted, hybrid), complexity, inputs/outputs, tools, and escalation mechanisms * Design agent interface contracts (prompt templates, input/output schemas, SLAs) * Build and maintain an agent catalog ensuring reuse, scalability, and version control * Define go/no\-go criteria for agent maturity levels (N0–N3\) * Define Knowledge Graph strategy, including data sources, structure, and multi\-hop query capabilities * Specify agent memory architecture (short\-term and long\-term context management) * Identify and prioritize high\-impact automation opportunities (quick wins) * Define integration standards with DevOps and enterprise tools (GitHub, Jira, CI/CD, business systems) * Design Human\-in\-the\-Loop mechanisms (approval flows, adaptive interfaces, circuit breakers) * Establish and enforce quality gates across the agent lifecycle * Ensure auditability, explainability, and traceability using observability tools (e.g., logging, OpenTelemetry) * Collaborate with security teams to define agent\-specific governance and guardrails * Promote AI\-native practices across development and business teams **Additional Information** * **Location:** Lisbon or Porto * **Working Model:**Hybrid