GenAI Platform Architect

Description

Summary: Seeking a senior technical leader with deep expertise in AI/ML architecture, cloud ecosystems, and scalable platform design to define, build, and evolve enterprise-grade Generative AI and Agentic AI platforms. Highlights: 1. Define, build, and evolve enterprise-grade GenAI and Agentic AI platforms 2. Lead technical authority in client decision-making moments 3. Mentor and guide GenAI Platform and Agentic Engineers **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 a **GenAI Platform Architect**. As an essential part of our organization, you will be responsible for defining, building, and evolving enterprise\-grade Generative AI and Agentic AI platforms. We are looking for a senior technical leader with deep expertise in AI/ML architecture, cloud ecosystems, and scalable platform design. **Qualifications** * Expert\-level experience in **AI/ML solution architecture** in enterprise environments * Strong proficiency in **Azure Cloud,** preferably Azure AI Foundry (or equivalent: AWS Bedrock, Vertex AI) * Deep knowledge of **LLMs** (OpenAI, Anthropic Claude, Mistral, etc.) and their operational characteristics * Proven experience with **RAG and Agentic RAG** (chunking, embeddings, vector stores such as Azure AI Search, pgvector) * Hands\-on experience with orchestration frameworks: **LangChain, LangGraph, Semantic Kernel, Microsoft Agent Framework** * Strong programming skills in **Python**; solid understanding of SOLID principles and design patterns for AI systems * Experience with Event\-Driven Architecture and API integrations (REST/GraphQL) * Knowledge of **Kubernetes and DevOps/MLOps** practices (Docker, Terraform, GitHub Actions, Azure DevOps) * Strong understanding of security, governance, and compliance in AI systems **Responsibilities** * Define and own the end\-to\-end agentic architecture (Agent Platform, Data \& Knowledge, Security \& Compliance, Governance, Human Oversight, Enterprise Integration) * Design internal SDKs and API contracts ensuring modularity, scalability, and extensibility * Select and justify technology stack (LLM gateway, orchestrator, vector store, cloud platform) * Define integration strategies with enterprise systems (Jira, Confluence, GitHub, Teams, CI/CD pipelines) * Evaluate multi\-agent vs. single\-agent approaches and document architecture decisions (ADRs) * Ensure compliance by design (EU AI Act) and implement security controls (guardrails, RBAC, data masking, audit trails, prompt injection protection) * Define identity management (Azure AD / OAuth2\), agent sandboxing, and human\-in\-the\-loop policies * Lead red teaming exercises and establish risk and IP governance frameworks * Implement quality gates across the agentic SDLC and define success metrics (ROI, cycle time, automation coverage, compliance SLAs) * Oversee observability frameworks including dashboards, logging, and productivity reporting * Mentor and guide GenAI Platform Engineers and Agentic Engineers * Collaborate with Product Owners and stakeholders to prioritize technical backlogs * Act as the senior technical authority in key client decision\-making moments **Working Model:** Hybrid