Morgan McKinley·4 days ago
4 days ago
Senior AI Solutions Engineer
Sign up free to see how well your resume matches this role.
What you'll do
- 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.
- 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.
- 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.
- 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.
What they're looking for
- 6+ years of software engineering experience with a strong track record of designing, building, and delivering AI-enabled applications.
- 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.
- Deep hands-on experience using AI-assisted engineering tools (e.g., GitHub Copilot, Claude Code, Cursor, or similar).
- Proven expertise in modern software engineering practices, Agile delivery, secure development, microservices, and CI/CD pipelines.
- Confident communication and leadership skills with experience working directly with business users and senior tech managers.
- Must hold Stamp 4 or EU Citizen for this role and be located in Ireland
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).
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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).
Company
Morgan McKinley
Dublin, Ireland
Company facts come from this company's own listings. We only show what the postings themselves carry.