AI Solutions Analyst – Senior
Job Overview
Overview:
SOFTSWISS continues to expand its AI capabilities, and we are looking for a Senior AI Solutions Analyst to join our dedicated AI Software Delivery team. We need a versatile professional who combines strong analytical thinking with hands-on AI skills — someone who can bridge the gap between business needs and technical AI solutions, while also building parts of those solutions independently.
Purpose of the role:
You will serve as the primary interface between business departments and the AI engineering team. Your mission is to understand business workflows, identify opportunities for AI-driven improvement, gather and formalize requirements, select the right tools and approaches, and ensure that delivered solutions are successfully adopted and maintained by the business teams themselves.
Unlike a traditional business analyst, you will also be a hands-on practitioner — capable of building lightweight AI solutions (prompt engineering, no-code/low-code workflows, simple automations) independently, while delegating complex engineering work to the development team. Your ultimate goal is enablement: every solution you deliver should be designed so the business team can own and evolve it going forward.
Key responsibilities:
Requirements Engineering: Engaging with business departments to understand their workflows, pain points, and objectives. Translating business needs into clear, structured requirements for AI-enabled solutions
Solution Design: Evaluating and recommending the optimal approach for each use case — from off-the-shelf AI tools (ChatGPT, Claude, Copilot) and no-code platforms to custom-built solutions requiring engineering effort
Hands-on Implementation: Building and configuring AI-powered solutions independently, where full engineering effort is not required — prompt engineering, workflow automation, chatbot configuration, dashboard creation, and integration of existing AI tools
Task Decomposition & Delegation: Breaking down complex solution requirements into well-defined tasks for the development team. Writing clear technical specifications and acceptance criteria for engineering work
Business Enablement & Knowledge Transfer: Designing solutions with handover in mind. Training business teams to operate, maintain, and iterate on delivered AI solutions. Creating documentation and runbooks for ongoing support
Stakeholder Management: Managing expectations, communicating progress, and facilitating collaboration between business teams, AI engineers, and leadership. Participating in Scrum ceremonies and contributing to the AI roadmap
Tool Landscape Awareness: Continuously evaluating the evolving AI tool ecosystem to identify new opportunities. Recommending tooling decisions based on business value, security, compliance, and total cost of ownership
Quality Assurance: Validating that delivered solutions meet business requirements and quality standards. Coordinating user acceptance testing with business stakeholders
Required Experience:
5+ years of professional experience in business analysis, systems analysis, solution consulting, or a related role
English — Upper-Intermediate or higher
Demonstrated experience working at the intersection of business and technology — translating business requirements into technical solutions and vice versa
Hands-on experience with AI/LLM tools: proven ability to use ChatGPT, Claude, Copilot, or similar tools to solve real business problems (not just personal experimentation)
Practical prompt engineering skills: ability to design, test, and iterate on prompts and AI workflows to achieve reliable business outcomes
Experience with no-code/low-code platforms or automation tools (e.g., n8n, Make/Zapier, Power Automate, Retool, or similar)
Strong requirements engineering skills: experience with requirements elicitation, documentation, user story writing, and acceptance criteria definition
Understanding of software development lifecycle and ability to communicate effectively with engineering teams
Experience with data analysis and visualization — ability to work with datasets, create reports, and derive actionable insights
Excellent communication and facilitation skills — ability to run workshops, present to stakeholders, and translate between technical and non-technical audiences
Experience in an Agile/Scrum environment
Nice to have:
Russian language knowledge
Experience in the iGaming, fintech, or other regulated industries where data security and compliance are paramount
Understanding of RAG (Retrieval-Augmented Generation) concepts and how enterprise AI systems work at a high level
Familiarity with MCP (Model Context Protocol) and how AI tools integrate with enterprise data sources
Basic vibe coding skills (Python, JavaScript, SQL) — enough to prototype, query databases, or automate simple data workflows
Experience with knowledge management systems and enterprise documentation platforms (Confluence, Notion, etc.)
Experience designing solutions with a "self-service" or "citizen developer" mindset — enabling non-technical users to maintain and evolve AI-powered tools
Familiarity with AI governance, responsible AI principles, and enterprise AI security considerations.
Understanding of vector databases, embeddings, and semantic search concepts at a conceptual level
Our Benefits:
Full-time remote work opportunities and flexible working hours
Private insurance
Additional 1 Day Off per calendar year
Sports program compensation
Comprehensive Mental Health Programme
Free online English lessons with a native speaker
Generous referral program
Training, internal workshops, and participation in international professional conferences and corporate events
Learn more about our hiring process here – what to expect, how to prepare, and what makes SOFTSWISS different.