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For Companies At a Glance
- Tasks: Design and deliver innovative AI solutions for enterprise clients, bridging business needs with tech expertise.
- Company: Beyondsoft, a global leader in IT and consulting with 30 years of experience.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and client engagement.
- Why this job: Join a dynamic team and shape the future of AI technology in real-world applications.
- Qualifications: 5-7 years in AI consulting, strong understanding of LLMs, and excellent communication skills.
The predicted salary is between 60000 - 80000 £ per year.
About Beyondsoft
Beyondsoft is a global IT and consulting services provider with over 30 years of experience delivering digital transformation, AI, cloud, and industry solutions to clients worldwide. Headquartered in Singapore and listed on the Shenzhen Stock Exchange, Beyondsoft operates in more than 13 countries with over 30,000 professionals globally.
About the Role
We are seeking a technically strong AI Consultant with a focus on AI transformation and LLM-based solutions. This role plays a pivotal part in designing, validating, and delivering AI solutions for enterprise clients, bridging business objectives with deep technical understanding.
Working closely with Lead Consultants, Data Scientists, ML Engineers, and Solution Architects, the AI Consultant translates concepts and use cases into deployable, scalable AI solutions across the project lifecycle.
Key Responsibilities
- AI Solution Design & Technical Advisory
- Lead or support AI/ML solution assessments, including LLM evaluations, architecture reviews, and data readiness checks.
- Translate business use cases into technical requirements, solution blueprints, and implementation plans.
- Design and recommend AI architectures such as vector databases, RAG pipelines, fine-tuning approaches, and cloud-based AI services.
- Conduct feasibility studies, technical scoping, and ROI modelling in support of AI initiatives.
- Provide input on data governance, prompt engineering standards, and responsible AI practices.
- Project Delivery & Hands-On Technical Engagement
- Guide and contribute to the delivery of AI prototypes, POCs, and MVPs alongside engineering teams.
- Produce and maintain technical documentation, including architecture diagrams, data flows, and operational playbooks.
- Perform and support model evaluation activities covering accuracy, latency, hallucination testing, and benchmarking.
- Support MLOps workflows, including CI/CD integration, deployment processes, and model monitoring best practices.
- Ensure delivered solutions meet agreed standards for quality, scalability, and security.
- Client Engagement & Technical Leadership
- Act as a technical lead during discovery and delivery phases for assigned engagements.
- Facilitate client workshops, ideation sessions, and deep-dive technical discussions.
- Communicate complex AI concepts clearly to both technical and non-technical stakeholders.
- Support advisory discussions on AI adoption, risks, and operational transformation.
- Business Development & Thought Leadership
- Partner with Sales and BD teams to develop technical inputs for proposals and solution architectures.
- Support or lead demos, briefings, and technical sessions with prospective clients.
- Contribute to white papers, internal accelerators, and best-practice frameworks.
Required Experience & Qualifications
- 5–7 years of experience in AI consulting, data consulting, or cloud solution delivery roles.
- Exposure across the AI lifecycle, from strategy and use-case definition through POC/MVP and scaled deployment.
- Demonstrated ability to translate business requirements into technical architectures and delivery plans.
Technical Proficiency
- Strong understanding of LLMs, NLP concepts, RAG systems, MLOps pipelines, and vector databases.
- Familiarity with at least one major cloud AI platform (Azure OpenAI, AWS Bedrock, or GCP Vertex AI).
- Knowledge of Python-based ML workflows, APIs, and evaluation frameworks (hands-on coding is a plus but not mandatory).
Soft Skills
- Excellent communication skills, with the ability to simplify technical complexity.
- Strong stakeholder management and structured documentation capabilities.
- Comfortable operating in client-facing, project-driven environments.
AI Consultant employer: BEYONDSOFT CONSULTING (SINGAPORE) PTE. LTD.
Contact Detail:
BEYONDSOFT CONSULTING (SINGAPORE) PTE. LTD. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI field, attend industry meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, prototypes, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd. Don’t forget to share it when applying through our website!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex AI concepts in simple terms, as you’ll need to communicate effectively with both techies and non-techies. We want you to shine during those interviews!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. It shows your enthusiasm for the role and keeps the conversation going. Remember, we’re rooting for you to get that offer!
We think you need these skills to ace AI Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the AI Consultant role. Highlight your experience with AI transformation and LLM-based solutions, and don’t forget to showcase any relevant projects you've worked on. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI consulting and how your background makes you a perfect fit for Beyondsoft. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Technical Skills: In your application, be sure to highlight your technical proficiency, especially with LLMs, NLP concepts, and MLOps pipelines. If you’ve got hands-on coding experience, let us know! We’re keen to see how you can contribute to our projects.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company there!
How to prepare for a job interview at BEYONDSOFT CONSULTING (SINGAPORE) PTE. LTD.
✨Know Your AI Stuff
Make sure you brush up on your knowledge of LLMs, NLP concepts, and MLOps pipelines. Be ready to discuss how you've applied these in past projects, as well as any specific architectures you've designed or worked with.
✨Translate Business Needs
Practice explaining how you've turned business requirements into technical solutions. Use examples from your experience to show how you can bridge the gap between technical and non-technical stakeholders.
✨Showcase Your Communication Skills
Since this role involves client engagement, be prepared to demonstrate your ability to simplify complex AI concepts. Think of ways to explain your past projects in a way that anyone could understand, regardless of their technical background.
✨Prepare for Technical Scenarios
Expect to tackle some technical scenarios during the interview. Brush up on your problem-solving skills and be ready to discuss how you would approach AI solution assessments or feasibility studies in real-world situations.