At a Glance
- 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, experience with GenAI tools, and strong communication skills 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.
AI and Automation Business Analyst employer: Falcon Smart IT (FalconSmartIT)
Contact Detail:
Falcon Smart IT (FalconSmartIT) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI and Automation Business Analyst
✨Tip Number 1
Familiarise yourself with the latest AI tools and technologies, especially those mentioned in the job description like OpenAI and langchain. Being well-versed in these tools will not only boost your confidence but also demonstrate your commitment to staying updated in the field.
✨Tip Number 2
Engage in discussions or forums related to AI and automation. This will help you understand current trends and challenges in the industry, which you can reference during interviews to show your proactive approach and knowledge.
✨Tip Number 3
Practice your communication skills by explaining complex AI concepts to non-technical friends or family. This will prepare you for the client-facing aspects of the role, ensuring you can convey information clearly and effectively.
✨Tip Number 4
Network with professionals already working in AI and automation roles. Attend industry meetups or webinars to make connections that could provide insights into the role and potentially lead to referrals.
We think you need these skills to ace AI and Automation Business Analyst
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 job requirements, particularly your experience in prompt engineering and user training.
Showcase Communication Skills: Since strong communication is key for this role, provide examples in your application of how you've effectively engaged with stakeholders or facilitated discussions around AI applications.
Highlight Problem-Solving Abilities: Demonstrate your analytical and problem-solving skills by including specific instances where you've assessed user needs or contributed to AI-driven process improvements in previous roles.
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. Prepare examples of how you've effectively communicated technical information to non-technical audiences.
✨Prepare for Prompt Engineering Questions
Expect questions related to prompt engineering and optimisation. Think of specific instances where you’ve refined AI-generated prompts and the impact it had on the outcomes. This will show your practical experience in the field.
✨Familiarise Yourself with Agile Methodologies
As the role may involve working in Agile/Scrum environments, be ready to discuss your experience with these methodologies. Highlight any tools like Jira or Azure DevOps that you've used to manage projects and tasks.