AI Operations Strategist

LTM; Dublin; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

LTM in Dublin is seeking an AI Enablement Architect/Agentic AI Coach to lead the design, development, testing, and deployment of AI agent use cases. The role combines hands-on agent development with business-user coaching, governance guidance, and reusable tooling to drive scalable AI enablement.

The consultant will collaborate with business teams to transform operational challenges into AI pilot initiatives, while contributing standards and playbooks for broader adoption.

Qualifications

• Hands-on experience delivering AI agent use cases and pilots.
• Demonstrated ability to develop agents/copilots in real environments.
• Proficient in prompt design and knowledge grounding.
• Ability to discover and prioritise business use-cases.
• Strong workshop facilitation and business-user coaching skills.
• Awareness of responsible AI governance and ethics.
• Excellent client-facing communication and collaboration.

Responsibilities

• Contribute to AI readiness and opportunity assessment.
• Prioritise the AI-agent use-case backlog with stakeholders.
• Define use-case definitions and value hypotheses.
• Design agent concepts, workflows, and prototypes.
• Produce prompt and agent-design documentation for reuse.
• Develop test scenarios and evaluation criteria.
• Provide coaching sessions and learning materials.
• Establish responsible AI guardrails for pilots.
• Create reusable templates and playbooks.
• Summarise lessons from initial pilots and scale recommendations.

Skills

Generative AI

Agent development

Prompt design

Knowledge grounding

Use-case discovery

Workshop facilitation

Business coaching

Stakeholder mgmt

Tools

Microsoft Copilot Studio

Azure AI Foundry

Power Platform

Job description

LTM is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTM brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTM — a Larsen & Toubro Group company — combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit www.ltm.com.

AI Enablement architect/ Agentic AI Coach

Dublin Ireland

Hybrid: 2 days a week

We are seeking an AI Enablement architect / Agentic AI Coach to support the identification, design, development, testing, and deployment of AI agent use cases. This role combines hands-on agent development with business-user coaching, use-case facilitation, responsible AI guidance, and knowledge transfer. The consultant will work closely with business teams to transform operational challenges into controlled AI pilot initiatives while contributing reusable tools, standards, and recommendations to support broader AI adoption.

Key mandatory skills

• Generative AI and AI-agent implementation.
• hands-on agent or copilot development.
• prompt and knowledge-grounding design.
• business use-case discovery and prioritisation.
• workshop facilitation.
• business-user coaching.
• AI-agent testing and evaluation.
• responsible AI and governance awareness.
• client-facing stakeholder management; and strong written and verbal communication.

Preferred skills

• Microsoft Copilot Studio, Azure AI Foundry, or equivalent platform.
• Power Platform or comparable low code technology.
• AI operating models and governance.
• Operations transformation experience; and experience working in Ireland or in a client-facing European delivery environment.

Expected deliverables :

The consultant would be expected to contribute to the following:

• AI readiness and opportunity assessment.
• Prioritised AI-agent use-case backlog.
• use-case definitions and value hypotheses.
• agent concepts, workflows, and prototypes.
• prompt and agent-design documentation.
• test scenarios, evaluation criteria, and results.
• coaching sessions and learning materials.
• responsible AI guardrails.
• reusable templates and playbooks.
• lessons learnt from initial pilots; and
• recommendations for scaling AI enablement.