AI Solutions Consultant

Job Description

RESPONSIBILITIES

1. Prompt Engineering Expert: Responsible for the design, development, and iterative refinement of high-complexity prompts for enterprise-grade LLM solutions deployed in live banking environments, ensuring outputs meet the rigour, accuracy, and compliance standards of the financial sector.
2. AI Use Case Strategy: Identify, scope, and prioritise high-value AI use cases across lending, credit underwriting, credit administration, and related banking verticals. Drive these initiatives from ideation through to deployment.
3. Client & Stakeholder Engagement: Act as the senior domain subject matter expert in client engagements — articulating the value of AI solutions in banking terms that resonate with operations teams and C-suite stakeholders alike.
4. Cross-Functional Partnership: Partner with product management, software engineering, and implementation teams to ensure that AI solutions are designed with practical banking constraints, regulatory considerations, and client realities in mind.
5. Team Mentorship & Capability Building: Guide and upskill junior analysts, helping them deepen their banking domain knowledge and apply it effectively in AI solution design and prompt engineering.
6. Quality Standards & Governance: Define and enforce standards for AI output quality and domain validation, ensuring solutions align with relevant regulatory frameworks and responsible AI principles.
7. Thought Leadership: Contribute to internal knowledge sharing, external publications, and client-facing thought leadership on the intersection of AI and banking — positioning JurisTech as the partner of choice in AI-driven banking transformation.

JOB REQUIREMENTS

• Bachelor’s Degree or Professional Qualification in Finance, Banking, Business Administration, Accountancy, or a related field.
• 3+ years of experience in banking or financial services, with strong hands-on exposure to credit underwriting, lending operations, credit risk management, or related areas.
• A demonstrated passion for technology and innovation — you actively explore how emerging technologies, especially AI, can transform the way financial services are delivered.
• Solid working knowledge of generative AI concepts and tools (LLMs, prompt engineering, AI platforms), with prior experience applying these in a professional context considered a strong advantage.
• Excellent communication and stakeholder management skills — you can translate complex AI capabilities for non-technical stakeholders and banking complexity for technical teams with equal confidence.
• Proven leadership and mentoring ability, with experience guiding less-experienced colleagues in a cross-functional setting.
• Strong analytical and structured problem-solving skills, with the ability to work through ambiguity and design scalable solutions.
• [Bonus] Experience with enterprise loan origination systems, credit decisioning platforms, or banking CRM solutions.
• [Bonus] Familiarity with AI governance and regulatory frameworks relevant to banking (e.g., BNM guidelines, responsible AI principles, PDPA).
• [Bonus] Background in business analysis, product management, or management consulting within a fintech or banking technology context.

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