Senior AI Solutions Engineer

Morgan McKinley; Dublin; Hybrid; EUR 95,000 - 115,000; Full time

Benefits offered by this job

Competitive base salary

Pension and private healthcare

Hybrid work policy

Job summary

Morgan McKinley in Dublin seeks a Senior AI Solutions Engineer to lead AI-enabled software delivery within the platform engineering team. You will drive adoption of LLMs, AI agents, and generative workflows across enterprise-scale solutions, partnering with business stakeholders to rapidly prototype and deliver outcomes.

You will combine software engineering excellence with strong stakeholder management, enterprise governance, and a passion for building modern AI-native capabilities across the

Qualifications

• 6+ years of software engineering experience delivering AI-enabled applications.
• Deep understanding of prompt engineering, LLMs, AI agents, MCP, RAG, embeddings, and responsible AI.
• Hands-on experience with AI-assisted engineering tools and modern software practices.
• Proven ability to work with senior tech managers and business users to drive outcomes.

Responsibilities

• Identify high-value AI opportunities with stakeholders and shape AI-enabled software solutions.
• Lead end-to-end delivery from concept to production readiness with rapid prototyping and user validation.
• Utilize AI-assisted tooling to design, test, and refine software across the stack.
• Review and govern AI-generated code and architectures for security and scalability.
• Mentor engineers to build AI-native capabilities across the organization.

Skills

AI leadership

AI engineering

Advanced AI patterns

Modern AI tooling

Enterprise software engineering

Stakeholder management

Tools

GitHub Copilot

Claude Code

Cursor

Docker

Kubernetes

Job description

Location: Dublin, Ireland (Hybrid)

Level: Senior / Lead (L6)

Employment Type: Permanent

Visa : Must hold Stamp 4 or EU Citizen for this role and be located in Ireland

ABOUT THE ROLE

We are seeking an autonomous, hands-on Senior AI Solutions Engineer (L6) to join our growing platform engineering team in Dublin.

In this role, you will act as a technical leader and driving force behind the adoption of Large Language Models (LLMs), AI agents, and Generative AI workflows across our platform ecosystem. Operating with a high degree of independence, you will partner directly with key business stakeholders to rapidly explore, prototype, and deliver AI-enabled software solutions.

You will combine practical software engineering expertise with strong stakeholder management, enterprise technical judgment, and a passion for establishing modern AI-native engineering capabilities.

KEY RESPONSIBILITIES

AI Solution Delivery & Technical Leadership

• Partner directly with business leaders and operational stakeholders to identify high-value opportunities and shape AI-enabled software solutions.
• Drive projects independently from initial concept and rapid prototyping through iterative user validation to production readiness.
• Champion and extensively utilize AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude Code) to design, generate, test, debug, and refine software.
• Experiment rapidly with technical approaches, making pragmatic decisions on when to iterate, pivot, or stop.

Software Engineering & Governance

• Apply rigorous engineering judgment to review, validate, and optimize AI-generated code and system architectures.
• Architect secure, scalable, maintainable solutions suitable for enterprise environments.
• Work closely with Solution Architects, Security Leads, and Engineering Leads to ensure alignment with target enterprise architecture, security standards, and regulatory requirements.

AI Capability Building & Adoption

• Evaluate emerging AI technologies, frameworks, multi-model strategies, and vendor ecosystems.
• Develop and share reusable prompt engineering templates, agentic workflows, Model Context Protocol (MCP) implementations, and RAG architectures across engineering teams.
• Mentor and coach other engineers, helping build a modern, AI-native engineering capability across the wider organization.

Stakeholder Engagement

• Build strong working relationships with product management, architecture, data, and business stakeholders.
• Communicate complex technical ideas clearly to non-technical business users, challenge assumptions constructively, and use regular user feedback to drive practical outcomes.

KEY REQUIREMENTS

Essential Technical Experience

• AI Engineering & Leadership: 6+ years of software engineering experience with a strong track record of designing, building, and delivering AI-enabled applications.
• Advanced AI Patterns: Deep understanding of prompt engineering, LLMs, AI agents, agentic workflows, Model Context Protocol (MCP), Retrieval-Augmented Generation (RAG), vector search/embeddings, and responsible AI practices.
• Modern AI Tooling: Deep hands-on experience using AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code, Cursor, or similar).
• Enterprise Software Engineering: Proven expertise in modern software engineering practices, Agile delivery, secure development, microservices, and CI/CD pipelines.
• Stakeholder Management: Confident communication and leadership skills with experience working directly with business users and senior tech managers.

Desirable / Useful Exposure (Nice to Have)

• Proficiency in programming languages such as Python, Java, TypeScript, or C#.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes).
• REST APIs, event-driven architectures, test automation, and Infrastructure as Code (IaC).

Personal Attributes

• Curious & Creative: Passionate about experimenting with cutting-edge AI technologies.
• Autonomous: Comfortable taking ownership of complex, ambiguous problems.
• Pragmatic Innovator: Focused on business outcomes, willing to experiment, fail fast, and pivot.
• Collaborative Leader: Dedicated to sharing knowledge and elevating the technical capabilities of the surrounding team.

WHAT WE OFFER

• Competitive base salary (€95,000 - €115,000 dependent on experience).
• Comprehensive pension scheme and private healthcare coverage.
• Flexible hybrid working policy (3 days/week in office).