AI Solution Specialist

Position overview

The AI Evangelist is a client-facing role that combines business development instincts with a solid understanding of AI technology. The person in this role works closely with clients to surface AI opportunities, shape solution directions, and represent VCC's AI capabilities in a credible and accessible way. Prototyping and technical delivery are handled in collaboration with VCC's internal AI engineering team. The AI Evangelist's core contribution is connecting what clients need to what VCC can build.

Responsibilities

- Lead discovery and scoping conversations with business stakeholders to identify AI use cases with practical, measurable outcomes

- Deliver presentations, demos, and solution walkthroughs suited to the client's context and level of AI familiarity

- Document client requirements clearly enough for the internal delivery team to scope and act on

- Collaborate with VCC's AI engineers and architects during pre-sales and early engagement to shape proof-of-concepts and solution designs

- Participate in prototype reviews and client demos, serving as the bridge between the technical team and the client audience

- Identify and flag gaps in data readiness, integration, or expectations early in the engagement lifecycle

- Represent VCC's AI practice at industry events, client briefings, and internal showcases

- Contribute to the AI capability catalogue by capturing use cases, solution patterns, and insights from client engagements

- Keep up with developments in the AI landscape and share relevant updates with the broader team

Required Qualifications

- Bachelor's degree, preferably in Computer Science, Information Technology, or a related field

- 3–5 years of experience in client-facing or cross-functional roles such as Business Analyst, Product Owner, Project Manager, AI Engineer, or AI Solution Architect. Candidates should have hands-on experience in AI projects, AI agents, AI solution design, AI engineering, or AI solution implementation

- Demonstrated experience working alongside technical teams on solution design or delivery

Required Skills and Competencies

Technical

- Working knowledge of AI and ML concepts including large language models, retrieval-augmented generation, and agentic systems

- Ability to understand and discuss technical architectures at a level sufficient to engage both clients and engineers credibly

- Familiarity with at least one cloud platform such as AWS, Azure, or GCP in the context of AI services

Business and Communication

- Strong presentation and storytelling skills across both technical and non-technical audiences

- Ability to structure ambiguous client problems into clear, scoped briefs

- Competency in writing proposals, use case summaries, or capability documentation

- Organised and proactive in managing multiple client engagements at different stages

Interpersonal

- Comfortable working in a cross-functional setup with engineers, architects, and business stakeholders

- Strong listening skills and a consultative approach to client conversations

- Able to represent technical work clearly without overselling or misrepresenting scope

- Meal allowance & transportation allowance

- Laptop

- 100% salary from probation

- Training from probation

- Free learning of all courses on LinkedIn e-learning

- Private insurance for employees from probation

- SHUI is paid on total Gross Base salary

- Annual performance review

- Annual salary review

- Lots of periodic company gatherings and events.