Senior AI Solution Engineer

Job summary

The role involves accelerating AI adoption within the enterprise by transforming ideas into validated Proofs of Concept (PoCs) and prototypes. The position requires collaboration with various teams to identify opportunities for AI to deliver measurable business value.

Qualifications

• Hands-on experience with Large Language Models such as GPT, Claude, or Gemini.
• Experience in building solutions using Retrieval-Augmented Generation (RAG) and/or agent-based systems.
• Proven track record in developing AI prototypes or production-ready AI solutions.
• Strong understanding of solution architecture, APIs, integrations, and enterprise systems.
• Familiarity with security, governance, and compliance requirements in enterprise environments.
• Excellent collaboration and communication skills to engage both technical and business stakeholders.
• A curious mindset with a passion for exploring emerging AI technologies.
• A pragmatic, hands-on approach focused on delivering measurable business value.
• Ability to thrive in fast-paced environments while maintaining structure and accountability.

Responsibilities

• Design, develop, and validate AI Proofs of Concept and working prototypes.
• Translate business challenges into practical AI solutions with measurable outcomes.
• Define success criteria covering business value, technical feasibility, scalability, and user adoption.
• Partner with business stakeholders to demonstrate value early and iterate rapidly.
• Work hands-on with Large Language Models (LLMs), RAG, and agent-based AI solutions.
• Design scalable solution architectures and reusable AI patterns for enterprise adoption.
• Integrate AI capabilities into enterprise systems and business workflows.
• Collaborate with Solution Architects to ensure alignment with enterprise architecture principles.
• Apply security, privacy, governance, and Responsible AI principles throughout experimentation.
• Identify technical and business risks early and recommend practical mitigation strategies.
• Ensure structured handover of validated solutions to delivery teams for production implementation.
• Stay current with emerging AI technologies and evaluate their applicability across the business.

Education

• Relevant degree or equivalent experience in a related field.

Tools

• Familiarity with AI development tools and platforms relevant to the role.