AI Consultant – AI Transformation & Agent Development

BayInCo Group; Västra Götalands län; On-site; SEK 700,000 - 1,000,000; Full time

Job summary

BayInCo Group is seeking a hands-on AI Consultant to support clients in identifying, developing and scaling practical AI solutions across business functions and industries.

You will work with stakeholders to translate business problems into AI opportunities, design and build AI agents, develop PoCs and craft scalable roadmaps for AI adoption. This is a highly practical role focused on turning experimentation into tangible business value.

Qualifications

• Proven experience working with AI, Generative AI, automation or digital transformation initiatives.
• Hands-on experience building AI agents or AI-powered applications rather than purely providing strategic advice.
• Experience with platforms such as Microsoft Copilot Studio, Google AI platforms, Azure AI, OpenAI or similar technologies.
• Strong data extraction, transformation and cleansing skills.
• Good working knowledge of technologies such as Python, SQL, Power Query, APIs or similar data/automation technologies.
• Experience working with structured and unstructured data.
• Experience developing and presenting AI proofs of concept.
• Ability to identify business problems and translate them into practical AI use cases.
• Experience creating AI transformation or implementation roadmaps.
• Strong understanding of AI/LLM concepts, including AI agents, prompt engineering, RAG, APIs, workflows and AI automation.
• Experience integrating AI solutions with existing business applications or technology environments is an advantage.
• Strong communication and stakeholder management skills.
• Fluent English and experience working with international, cross-functional and multicultural teams.

Responsibilities

• Identify and assess opportunities where AI, Generative AI and AI agents can improve business processes, productivity, decision-making and customer or employee experiences.
• Engage with business and technology stakeholders to understand challenges, processes, data and desired outcomes.
• Design, build, test and deploy AI agents and AI-powered solutions using platforms such as Microsoft Copilot Studio, Google AI platforms or similar technologies.
• Develop proofs of concept (PoCs) and demonstrate the practical value of AI solutions.
• Work with structured and unstructured data from different sources and systems.
• Extract, clean, transform and structure data required for AI solutions and agent workflows.
• Integrate AI solutions with business applications, data sources and existing technology ecosystems where required.
• Evaluate different AI models, tools and platforms and recommend appropriate technologies based on business requirements.
• Identify opportunities for automation, intelligent workflows and AI-assisted decision-making.
• Translate successful PoCs into practical AI adoption and scaling roadmaps.
• Define use cases, priorities, expected business value, implementation requirements and potential risks.
• Collaborate with IT, business teams, product teams and other stakeholders across different functions and geographies.
• Support clients in establishing responsible, scalable and sustainable approaches to AI adoption.
• Stay current with developments in Generative AI, AI agents, LLMs, automation platforms and emerging AI technologies.

Skills

AI / Generative AI

Automation

Digital transformation

Python

SQL

APIs

Data cleansing

Structured data

AI proofs of concept

Stakeholder management

Communication

English fluency

Tools

Microsoft Copilot Studio

Google AI platforms

Azure AI

OpenAI

Job description

About the Role

We are looking for a hands-on AI Consultant to support our clients in identifying, developing and scaling practical AI solutions across business functions and industries.

The ideal candidate combines business understanding, AI strategy and hands-on technical skills. You will work closely with business and technology stakeholders to identify high-value AI opportunities, design and build practical AI agents, develop proofs of concept and create scalable roadmaps for AI adoption.

This is a highly practical role for someone who enjoys moving from business problem → AI opportunity → working solution → scalable implementation.

Key Responsibilities

• Identify and assess opportunities where AI, Generative AI and AI agents can improve business processes, productivity, decision-making and customer or employee experiences.
• Engage with business and technology stakeholders to understand challenges, processes, data and desired outcomes.
• Design, build, test and deploy AI agents and AI-powered solutions using platforms such as Microsoft Copilot Studio, Google AI platforms or similar technologies.
• Develop proofs of concept (PoCs) and demonstrate the practical value of AI solutions.
• Work with structured and unstructured data from different sources and systems.
• Extract, clean, transform and structure data required for AI solutions and agent workflows.
• Integrate AI solutions with business applications, data sources and existing technology ecosystems where required.
• Evaluate different AI models, tools and platforms and recommend appropriate technologies based on business requirements.
• Identify opportunities for automation, intelligent workflows and AI-assisted decision-making.
• Translate successful PoCs into practical AI adoption and scaling roadmaps.
• Define use cases, priorities, expected business value, implementation requirements and potential risks.
• Collaborate with IT, business teams, product teams and other stakeholders across different functions and geographies.
• Support clients in establishing responsible, scalable and sustainable approaches to AI adoption.
• Stay current with developments in Generative AI, AI agents, LLMs, automation platforms and emerging AI technologies.

Required Experience

• Proven experience working with AI, Generative AI, automation or digital transformation initiatives.
• Hands-on experience building AI agents or AI-powered applications rather than purely providing strategic advice.
• Experience with platforms such as Microsoft Copilot Studio, Google AI platforms, Azure AI, OpenAI or similar technologies.
• Strong data extraction, transformation and cleansing skills.
• Good working knowledge of technologies such as Python, SQL, Power Query, APIs or similar data/automation technologies.
• Experience working with structured and unstructured data.
• Experience developing and presenting AI proofs of concept.
• Ability to identify business problems and translate them into practical AI use cases.
• Experience creating AI transformation or implementation roadmaps.
• Strong understanding of AI/LLM concepts, including AI agents, prompt engineering, RAG, APIs, workflows and AI automation.
• Experience integrating AI solutions with existing business applications or technology environments is an advantage.
• Strong communication and stakeholder management skills.
• Fluent English and experience working with international, cross-functional and multicultural teams.

Personal Profile

You are curious, pragmatic, self-driven and hands-on.

You are comfortable working in environments where the problem is not always clearly defined and can move confidently between business conversations and technical implementation.

You enjoy experimenting with new AI technologies but, more importantly, know how to turn experimentation into practical business value.

You are:

• Hands-on – you build and test solutions yourself.
• Business-oriented – you understand that technology must solve a real problem.
• Pragmatic – you focus on what can actually be implemented and scaled.
• Curious – you continuously explore emerging AI technologies and approaches.
• Collaborative – you work effectively with both technical and non-technical stakeholders.
• Adaptable – you can work across different industries, functions and client environments.
• Outcome-driven – you measure success through tangible improvements rather than technology adoption alone.

What We Are Looking For

The ideal candidate is someone who can operate across three dimensions:

Business + AI Strategy + Technology

You should be able to understand a business challenge, identify where AI can create value, design the right solution, build a working AI agent or PoC, and help define how that solution can be scaled.

Experience in a specific industry is not mandatory. We are particularly interested in candidates who have worked across multiple business domains and can apply AI thinking to new and unfamiliar environments.