Solirius Consulting

AI Engineer

• Design, build, and maintain scalable AI architectures and pipelines supporting business requirements
• Operationalise Large Language Models such as GPT, Llama, and Mistral in production environments
• Implement NLP workflows including BERT and topic modelling
• Design and orchestrate autonomous agentic workflows that reason, plan, and execute tasks across multiple tools
• Collaborate with Data Engineers on model deployments, data storage, vector databases, and cloud infrastructure
• Champion and mentor teams and clients on AI-assisted coding and agentic coding workflows
• Provide technical consulting on AI product development and explain the distinction between standard machine learning and agentic AI
• Stay current with modern AI stack developments, synthetic data generation, and Explainable AI
• Work in a multidisciplinary practice with Data Scientists, Data Engineers, and Software Engineers
• Engage with clients to understand their needs and translate them into effective technology outcomes

Business Analyst

• Conduct blueprinting and value stream mapping with Product Owners and Technical Architects
• Align business processes with target technology architectures
• Structure analysis of businesses, products, or capabilities using SWOT, MOST, or similar frameworks
• Map end-to-end journeys and business objects from business outcomes through value streams, journeys, systems, and data
• Develop unified views across business, process, application, and data architecture
• Analyse existing systems, integrations, and complex data flows to identify gaps, risks, overlapping capabilities, and manual data transfers
• Document current business and customer processes and design future states with stakeholders
• Use data to quantify differences, size problems, validate assumptions, and confirm outcomes
• Gather, analyse, decompose, and document functional, non-functional, and system requirements
• Maintain end-to-end requirements traceability, baselines, change requests, and impact assessments
• Write and maintain editable decision tables and rules engines
• Define precise acceptance criteria for AI-powered features with non-deterministic outputs
• Write user stories, acceptance criteria, and process definitions for developers
• Work across the full delivery lifecycle with UX/UI designers, developers, DevOps teams, and architects
• Support Agile ceremonies including sprint planning, backlog refinement, and stand-ups
• Assist with operational readiness and business change activities
• Coordinate testing, review test scripts, support defect triage, and drive UAT resolution
• Facilitate stakeholder conversations and workshops
• Build stakeholder buy-in and negotiate scope
• Keep stakeholders informed and act as the first point of contact for requirements-related issues

Technical Business Analyst

Data Scientist

• Design, develop, and deploy machine learning and AI models, including predictive models, NLP, computer vision, and recommender systems
• Explore, cleanse, and transform large structured and unstructured datasets
• Conduct statistical analysis, experiment design, feature engineering, and model evaluation
• Build scalable data pipelines and automate model training and inference processes
• Collaborate with engineering teams to integrate models into production systems
• Monitor model performance, detect drift, and implement continuous improvement strategies
• Communicate complex findings clearly to technical and non-technical stakeholders
• Stay current with advancements in AI/ML, including LLMs, generative AI, and reinforcement learning, and evaluate their potential impact on products
• Collaborate with product, engineering, and business teams to transform data into actionable insights and high-impact AI solutions

AI Engineer

Technical Business Analyst

Senior Data Scientist