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- Tasks: Drive AI tool adoption and support users in optimising AI interactions.
- Company: Join a forward-thinking company leading the charge in AI and automation solutions.
- Benefits: Enjoy flexible working options, professional development opportunities, and a vibrant team culture.
- Why this job: Be at the forefront of AI innovation, shaping strategies that impact the entire organisation.
- Qualifications: 1-3 years in AI solutions, strong communication skills, and experience with GenAI tools required.
- Other info: Ideal for tech-savvy individuals eager to make a difference in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a Business Analyst to drive company-wide adoption of AI tools, including the AI Powered Chat assistance GPT and other Large Language Models (LLMs). This client-facing role requires strong communication skills and the ability to engage with business stakeholders in meaningful discussions around GenAI applications. The ideal candidate will support AI implementation, assist users in refining AI-generated prompts, and contribute to the development of AI-driven automation solutions. This role reports to the Architect, Enterprise AI and plays a critical part in shaping AI strategies across departments.
Primary (Must have skills)
- 1-3 years experience in AI-driven business solutions, automation, or relevant industry exposure (internships & academic experience considered).
- 1-2 years experience in GenAI tools like langchain, OpenAI, including Gemini and other LLMs.
- 1-2 years experience in training and support users in effectively utilizing AI-powered solutions.
- 1-2 years of experience/exposure of AI-powered automation platforms, agentic AI, and enterprise search solutions.
Ideal candidate profile
- 1-3 years experience in prompt engineering for optimized AI interactions.
- Min 1 year of exposure to NLP (Natural Language Processing) technologies.
- 1-2 years of experience in AI adoption in corporate environments.
- 1-2 years of experience/exposure in understanding of enterprise search functionality and automation frameworks.
- 5+ years of experience in strong analytical and problem-solving skills to assess user needs.
- Exceptional verbal and written communication skills for stakeholder engagement.
- Ability to collaborate across business teams and technical domains.
Key Responsibilities:
- Strategic AI Enablement: Partner with business teams to introduce, train, and facilitate AI adoption, ensuring alignment with company goals.
- GenAI Discussion & Support: Engage stakeholders in conversations about AI applications, benefits, and challenges, promoting informed decision-making.
- Prompt Engineering & Optimization: Assist users in refining AI-generated prompts for improved relevance and business impact.
- AI-Driven Process Automation: Collaborate with teams to develop and customize AI-powered bots for workflow efficiency.
- Agentic AI & Enterprise Search: Provide support for automation initiatives, AI-assisted decision-making, and enterprise search solutions.
- AI Performance Evaluation: Gather user feedback, assess tool effectiveness, and recommend improvements.
- Emerging AI Trends & Best Practices: Stay informed on advancements in AI technologies and contribute insights to organization's AI strategy.
Soft skills/other skills
- Communication Skills: Communicate effectively with internal and customer stakeholders.
- Interpersonal Skills: Strong interpersonal skills to build and maintain productive relationships with team members and customer stakeholders.
Prior experience in working on Agile/Scrum projects with exposure to tools like Jira/Azure DevOps. Provides regular updates, proactive and due diligent to carry out responsibilities.
Business System Analyst (AI & Automation) employer: Falcon Smart IT (FalconSmartIT)
Contact Detail:
Falcon Smart IT (FalconSmartIT) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Business System Analyst (AI & Automation)
✨Tip Number 1
Familiarise yourself with the latest AI tools and technologies, especially those mentioned in the job description like OpenAI and langchain. Being able to discuss these tools confidently during interviews will show your genuine interest and expertise.
✨Tip Number 2
Engage in discussions about AI applications on platforms like LinkedIn or relevant forums. This not only helps you stay updated but also allows you to network with professionals in the field, which could lead to valuable connections.
✨Tip Number 3
Prepare to demonstrate your problem-solving skills through real-world examples. Think of scenarios where you've successfully implemented AI solutions or improved processes, as this will resonate well with the role's requirements.
✨Tip Number 4
Showcase your communication skills by practicing how to explain complex AI concepts in simple terms. This is crucial for engaging with stakeholders who may not have a technical background, and it will highlight your ability to bridge the gap between tech and business.
We think you need these skills to ace Business System Analyst (AI & Automation)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in AI-driven business solutions and automation. Emphasise any specific projects or roles where you've used GenAI tools or worked with LLMs.
Craft a Compelling Cover Letter: In your cover letter, discuss your passion for AI and automation. Mention how your skills align with the responsibilities of the role, particularly in stakeholder engagement and prompt engineering.
Showcase Communication Skills: Since strong communication is key for this role, provide examples in your application that demonstrate your ability to engage with stakeholders effectively, both verbally and in writing.
Highlight Relevant Experience: Detail any experience you have with Agile/Scrum methodologies and tools like Jira or Azure DevOps. This will show your familiarity with project management processes that are likely to be important in this role.
How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)
✨Showcase Your AI Knowledge
Make sure to brush up on your understanding of AI tools, especially GenAI applications and LLMs. Be prepared to discuss your experience with these technologies and how you've used them in previous roles or projects.
✨Demonstrate Strong Communication Skills
Since this role involves engaging with business stakeholders, practice articulating complex AI concepts in simple terms. Use examples from your past experiences to illustrate how you effectively communicated with non-technical teams.
✨Prepare for Prompt Engineering Questions
Expect questions related to prompt engineering and optimisation. Think of specific instances where you refined prompts for better AI interactions and be ready to explain your thought process.
✨Familiarise Yourself with Agile Methodologies
Given the emphasis on Agile/Scrum projects, review your knowledge of these methodologies. Be ready to discuss how you've contributed to Agile teams and any tools like Jira or Azure DevOps that you've used.
