At a Glance
- Tasks: Transform complex workflows into structured AI instructions and drive automation opportunities.
- Company: Forward-thinking company at the forefront of AI innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with diverse teams to redefine AI product definitions and enhance agent performance.
- Why this job: Shape the future of AI by bridging enterprise processes with cutting-edge technology.
- Qualifications: Knowledge of orchestration ecosystems and experience in Agile or Scrum environments.
The predicted salary is between 70000 - 80000 £ per year.
Salary: £70,000 - 80,000 per year
Requirements
- Basic knowledge of orchestration ecosystems like LangChain, AutoGen, or CrewAI.
- Strong grasp of Large Language Models, prompt engineering, and semantic memory patterns.
- Clear understanding of function calling, data pipelines, and external API connectors.
- Proven success working inside Agile or Scrum software development lifecycles.
- Mastery of decomposition techniques, data rules, and hand-off mapping.
- Ability to run analytical assessments and query data to validate agent integrity.
- Ability to challenge status-quo enterprise assumptions.
- Comfort with exploring fluid, evolving AI product definitions.
Responsibilities
- Deconstruct complex human workflows into structured agent instructions.
- Map state transitions and define iterative Observe, Think, Act loops for AI agents.
- Establish data requirements, exceptions, and human-in-the-loop checkpoints.
- Evaluate enterprise bottlenecks to qualify agentic automation opportunities.
- Prioritise the high-value agentic AI transformation roadmap.
- Create framework tracking metrics to monitor agent performance.
- Turn business user needs into precise prompts, system specs, and tool-calling logics.
- Lead discovery sessions with technical engineers and non-technical stakeholders.
Technologies
- AI API Support
- LLM
We are a forward-thinking company seeking a Business Analyst within AI to bridge complex enterprise processes and our AI engineering teams. In this role, we focus on designing the logical guardrails, metrics, and workflows for autonomous AI agents rather than documenting legacy requirements. You will work across technical and non-technical stakeholders to shape agentic automation opportunities and support our AI transformation roadmap.
Business Analyst (AI) employer: Sivara GmbH
As a forward-thinking company, we pride ourselves on fostering a collaborative and innovative work culture that empowers our employees to challenge the status quo and drive meaningful change in AI. With competitive salaries and a commitment to professional growth, we offer unique opportunities for career advancement while working in a dynamic environment that values creativity and teamwork. Join us in our mission to redefine enterprise processes through cutting-edge AI solutions in a location that inspires innovation and collaboration.
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We think this is how you could land Business Analyst (AI)
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We think you need these skills to ace Business Analyst (AI)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
