Engineering Associate Manager

Location: Dublin

Time Type: Full time

Job Description

Engineering Associate Manager – Tech.AI @ The Dock

About The Dock

The Dock is Accenture's flagship R&D and Global Innovation Centre, based in Dublin's Grand Canal Dock. As an incubation hub for next-generation AI and agentic solutions, we bring together a global community of engineers, data scientists, designers, strategists, and entrepreneurs to solve complex challenges and develop products and services that help organisations adapt to rapid change.

Our teams operate across the full innovation lifecycle, from early exploration and concept validation through to deployment and scale, working in multidisciplinary teams to transform ideas into practical, real-world solutions.

About the Role

As an Engineering Associate Manager, you will be responsible for leading engineering teams delivering innovative AI-enabled products and solutions. You will provide technical and people leadership, helping teams navigate ambiguity, establish priorities, and deliver high-quality outcomes in a fast-paced innovation environment.

You will work closely with engineering, product, design, data science, and business stakeholders to translate evolving requirements into scalable solutions. While remaining technically informed, your primary focus will be enabling teams to succeed through effective leadership, coaching, decision-making, and delivery management.

This role requires strong technical judgement, the ability to balance short-term delivery goals with long-term sustainability, and a commitment to developing engineering capability across both project teams and the wider organisation.

Key Responsibilities:

• Lead teams through ambiguity. Innovation work rarely comes with perfect requirements or unlimited time. You'll create clarity around priorities, ownership and delivery, helping teams turn uncertainty into working software with a clear path to deployment and support.

• Provide technical leadership without owning every decision. You'll stay close enough to the technology to challenge designs, guide architectural decisions and help unblock complex problems, while empowering engineers to take ownership and make sound decisions independently.

• Balance short-term delivery with long-term sustainability. You'll help teams navigate trade-offs between speed, quality, scalability, security, cost and maintainability, ensuring decisions made today continue to support the product tomorrow.

• Partner across disciplines to deliver real-world products. Working closely with product, design, data science and commercial stakeholders, you'll translate evolving requirements into practical solutions and communicate technical risks and trade-offs in ways that support decision-making.

• Grow engineering capability across The Dock. You'll coach and develop engineers, contribute to hiring and talent growth, and help establish the standards, practices and reusable assets that enable teams to build and ship effectively.

What we're looking for:

• Proven accountability for the delivery and technical outcomes of an engineering team or significant workstream, including taking solutions from early design through deployment and ongoing operation.

• A track record of coaching and developing engineers, delegating meaningful ownership while maintaining appropriate oversight of quality, risk, and delivery outcomes.

• Strong technical judgement across software engineering fundamentals, including system design, APIs, data, testing, cloud-native technologies, and modern delivery practices.

• Experience delivering AI-enabled capabilities in production environments and operating effectively in ambiguous settings, turning evolving requirements into clear priorities and technical direction.

• Ability to evaluate, make, and communicate engineering trade-offs across speed, quality, scalability, security, maintainability, and cost with both technical and non-technical stakeholders.

What would make you stand out:

• Experience leading engineering teams in innovation-led, consulting, research, or product incubation environments where experimentation and delivery need to coexist.

• Strong solution design and architectural experience, with the ability to challenge approaches from early concept through to production-ready implementation.

• Hands-on exposure to real-world deployments of LLM-based solutions, machine learning platforms, or AI orchestration patterns, from experimentation through operational ownership.

• A history of building more than just products by contributing reusable assets, standards, frameworks, accelerators, hiring initiatives, or engineering capability programmes.

• Comfort working within large, matrixed organisations and a genuine curiosity for emerging AI technologies, coupled with the judgement to distinguish practical value from hype.

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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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