Enterprise AI Architect – LLM & Generative Systems Lead

3700 Accenture N.V. Company; Herentals; On-site; EUR 150,000 - 210,000; Full time

Job summary

Accenture seeks an AI Large Language Model Technology Lead/Principal Architect to act as the definitive technical authority on AI architecture across client engagements. You will own end-to-end architecture for advanced AI platforms, spanning generative AI, agentic systems, and classical ML, while aligning with business goals and enterprise standards.

You will collaborate with CIOs/CTOs and senior leaders to shape enterprise AI strategy, lead architectural governance, and guide multi-domain

Qualifications

• Extensive experience in designing & deploying enterprise grade advanced ai solutions using agentic, generative and classical AI/ML using at least one cloud vendor.
• Proven experience in the LLM and Generative AI space.
• Well versed in architecting and operationalizing LLM driven application architecture patterns.
• Deep experience in engineering, machine learning, deep learning and NLP solutions and applications
• Several years of hands on experience as a machine architect in the industry designing big data, machine learning, large scale analytical engineering solutions

Responsibilities

• Partner with CIOs, CTOs, and business leaders to shape the enterprise AI strategy.
• Lead enterprise AI assessments and build implementation roadmaps.
• Own end-to-end technical solutions for complex AI platforms.
• Translate governing architecture principles into concrete technical solutions that domain teams build against.
• Build innovative prototypes and proofs of concept hands-on, using emerging technologies to de-risk decisions and prove value early.
• Perform technology assessments and comparisons, making definitive, evidence-based recommendations on tools, frameworks, and platforms.
• Set the architectural direction for model- and tool-agnostic multi-agent ecosystems — orchestration, memory, and tool/skill use.
• Establish the agent registry and certification model that mandates no uncertified agent reaches production.
• Define memory as a first-class abstracted platform service, decoupled from any underlying vendor engine.
• Define the foundation model and inference strategy — adaptation, fine-tuning, and dynamic cost/quality/latency-aware routing.
• Set the standards for high-throughput, low-latency inferencing and classical ML deployment within unified, production-ready platforms.
• Own the architecture of the enterprise context layer — knowledge graphs, ontologies, vector search, and semantic retrieval.
• Set the design direction for context assembly and memory that manages prompts and conversational state.
• Be accountable for security, governance, observability, performance, and scalability across domains.
• Establish identity and authorization models — per-agent identity, IAM/IAP binding, and defense-in-depth.
• Define layered guardrail framework applied at every boundary.
• Govern the MCP control plane — registry, gateway, and risk scoring.
• Mandate adopt-over-build for productized evaluation and observability stacks.
• Establish FinOps as a first-class concern — usage labeling and cost governance.
• Make definitive decisions on design patterns, reference architectures, frameworks, and technology selections.
• Lead and integrate the work of domain architects and specialists, resolving cross-domain tensions.
• Build reusable reference architectures, frameworks, and assets with adopt-over-build stance.
• Conduct deep-dive architecture workshops and working sessions with client executives.

Skills

Agentic AI

Generative AI

Classical AI/ML

LLM architecture

NLP solutions

Machine learning

Education

Bachelor's Degree or equivalent

Job description

Accenture seeks an AI Large Language Model Technology Lead/Principal Architect to act as the definitive technical authority on AI architecture across client engagements. You will own end-to-end architecture for advanced AI platforms, spanning generative AI, agentic systems, and classical ML, while aligning with business goals and enterprise standards.

You will collaborate with CIOs/CTOs and senior leaders to shape enterprise AI strategy, lead architectural governance, and guide multi-domain