AI/ML Solutions Lead

Job Role : AI/ML Solutions Lead Location: Dublin Career Level : 7 - Manager Travel Required: Up to 30%

WHY THIS ROLE Enterprise AI is maturing fast. Clients are moving past proof-of-concept and into production systems that need to be reliable, scalable, and genuinely useful. Accenture's AI and Data practice in Ireland is at the centre of that work, and this role sits within the delivery function making it happen. For an engineer who wants client exposure, technical breadth, and the scope to build something worth building, this is a strong position.

THE Role

The AI/ML Solutions Lead owns the technical delivery of AI solutions for some of Ireland's most complex organisations. The scope is broad: agentic systems, LLM-powered applications, foundational model development, fine-tuning, and production ML across computer vision, time-series, and other disciplines. The role carries team leadership responsibility. You will manage a group of AI/ML engineers, set technical standards, and be accountable for delivery quality across engagements. Beyond delivery, this role contributes to how the practice builds AI. That includes shaping methodology, developing reusable assets, and supporting business development where relevant.

WHAT YOU WILL DO Lead AI solution delivery across the full lifecycle, from architecture and build through to production deployment, across financial services, public sector, and industry clients

Design and build multi-agent AI systems using established frameworks or custom orchestration where the problem requires it

Architect LLM-powered applications: RAG pipelines, tool-augmented agents, and memory-enabled systems grounded in enterprise data

Build production-grade agentic infrastructure: state management, task decomposition, human-in-the-loop controls, guardrails, and observability

Manage and develop a team of AI/ML engineers, maintaining clear technical standards and supporting individual growth

Define safety boundaries, escalation logic, and audit mechanisms for autonomous systems in regulated environments

Work with AI Solution Architects and Data Architects to translate client requirements into deployable technical plans

Contribute to practice development: frameworks, accelerators, and reusable solution patterns

Support business development through proposal input, client demonstrations, and building senior relationships over time

What WE ARE Looking FOR

• Seven or more years of hands-on AI/ML engineering experience, with at least three years in a technical leadership or management position

• Solid grasp of foundational AI/ML model architectures, including transformer models and how they compare to and interact with diffusion-based approaches

• Production delivery experience across at least one of: agentic systems, LLM applications, computer vision, or time-series forecasting

• Working knowledge of LLM application development: prompt engineering, RAG, fine-tuning, and evaluation

• Familiarity with agentic frameworks such as LangChain, LangGraph, AutoGen, Semantic Kernel, or CrewAI. Candidates who built custom orchestration before these tools existed are equally welcome

• Python proficiency with strong ML engineering fundamentals. PyTorch is required; ONNX and BentoML experience is a meaningful advantage for model serving and deployment

• Practical MLOps experience: CI/CD for ML, model monitoring, feature stores, and experiment tracking

• Cloud platform experience across Azure (Azure AI Foundry, Azure ML), AWS (Bedrock, SageMaker), or GCP (Vertex AI)

• Ability to communicate technical decisions clearly to both engineering teams and senior client stakeholders

• A track record of building and developing engineering teams

Bonus Points

• Experience designing human-in-the-loop workflows and escalation logic for autonomous AI systems

• Familiarity with responsible AI frameworks, bias detection, and model governance in agentic contexts

• Open-source contributions, custom framework development, or published work on agentic systems

• Experience in regulated industries where autonomous AI carries additional compliance and oversight requirements

• KEY SKILLS: Python | PyTorch | ONNX | Agentic AI | LLMs | Computer Vision | MLOps | Azure ML | Responsible AI

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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