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

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

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com 

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