Job VC
Software Solutions Architect/AI Enablement Lead
Technologies
Description
Leobit
is looking for a senior architect-level specialist with a strong software engineering background and practical experience in applying AI in business and delivery environments.
This role focuses on helping the company use AI in real, measurable ways: improving how teams deliver software, introducing AI-enabled engineering practices, automating internal and client business processes, and strengthening our position in pre-sales.
The person in this role will work across delivery, engineering, and business development. They will help development teams use AI tools effectively, design AI-enabled delivery processes, train both internal and client teams, and shape solution proposals that combine solid software architecture with modern AI capabilities.
We expect strong hands-on experience in software architecture and development, a solid understanding of modern AI technologies, including
LLM-based
and agentic solutions, and the ability to turn these technologies into practical business results. Experience in pre-sales, solution design, and client communication is important.
Location:
Lviv
Requirements:
Strong background in software architecture and enterprise software development
Practical experience with Azure and modern cloud-based solution design
Good knowledge of AI-enabled software delivery practices and developer productivity tools
Experience with LLMs, agentic AI, RAG, prompt engineering, AI orchestration, and workflow automation
Understanding of AI use cases in software engineering, internal business operations, and client solutions
Experience designing AI-powered applications, copilots, assistants, or business process automation solutions
Hands-on experience with popular AI frameworks and platforms such as Azure AI Services, Azure OpenAI, OpenAI API, Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex, and vector databases
Familiarity with Python for AI prototyping and integration scenarios
Understanding of model evaluation, observability, guardrails, security, privacy, and responsible AI practices
Experience in pre-sales, discovery, workshops, solution estimation, and client communication
Strong communication skills and the ability to explain complex technical ideas in a simple and practical way
Responsibilities:
Design and drive the adoption of AI-enabled software delivery practices across engineering teams
Define and implement scalable software architecture solutions incorporating modern AI technologies
Support development teams in effectively using AI tools to improve productivity, code quality, and delivery speed
Lead the design and implementation of AI-powered applications, including copilots, assistants, and workflow automation solutions
Apply
LLM-based,
agentic AI, and RAG approaches to solve real business and engineering challenges
Collaborate with engineering, delivery, and business development teams to integrate AI into internal processes and client solutions
Develop and promote best practices for AI usage, including prompt engineering, orchestration, and model integration
Conduct internal trainings, workshops, and knowledge-sharing sessions on AI technologies and tools
Participate in pre-sales activities, including client discovery, solution design, estimations, and technical presentations
Translate complex technical concepts into clear, practical solutions for both technical and non-technical stakeholders
Design AI-enabled business process automation solutions for internal and client use cases
Ensure implementation of responsible AI practices, including security, privacy, observability, and model evaluation
Prototype and validate AI solutions using modern frameworks and platforms (e.g., Azure AI, OpenAI, LangChain, Semantic Kernel)
Collaborate with clients to identify opportunities for AI adoption and deliver measurable business value
Continuously evaluate emerging AI technologies and recommend their practical adoption within the organization
We offer:
Interesting and challenging projects
Competitive compensation and regular results-based salary review
A broad range of professional education and personal development possibilities
Comfortable and cozy working environment
Motivated colleagues with profound knowledge of the technical field
Аttractive compensation package
Accelerate your career with Leobit!
is looking for a senior architect-level specialist with a strong software engineering background and practical experience in applying AI in business and delivery environments.
This role focuses on helping the company use AI in real, measurable ways: improving how teams deliver software, introducing AI-enabled engineering practices, automating internal and client business processes, and strengthening our position in pre-sales.
The person in this role will work across delivery, engineering, and business development. They will help development teams use AI tools effectively, design AI-enabled delivery processes, train both internal and client teams, and shape solution proposals that combine solid software architecture with modern AI capabilities.
We expect strong hands-on experience in software architecture and development, a solid understanding of modern AI technologies, including
LLM-based
and agentic solutions, and the ability to turn these technologies into practical business results. Experience in pre-sales, solution design, and client communication is important.
Location:
Lviv
Requirements:
Strong background in software architecture and enterprise software development
Practical experience with Azure and modern cloud-based solution design
Good knowledge of AI-enabled software delivery practices and developer productivity tools
Experience with LLMs, agentic AI, RAG, prompt engineering, AI orchestration, and workflow automation
Understanding of AI use cases in software engineering, internal business operations, and client solutions
Experience designing AI-powered applications, copilots, assistants, or business process automation solutions
Hands-on experience with popular AI frameworks and platforms such as Azure AI Services, Azure OpenAI, OpenAI API, Semantic Kernel, LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex, and vector databases
Familiarity with Python for AI prototyping and integration scenarios
Understanding of model evaluation, observability, guardrails, security, privacy, and responsible AI practices
Experience in pre-sales, discovery, workshops, solution estimation, and client communication
Strong communication skills and the ability to explain complex technical ideas in a simple and practical way
Responsibilities:
Design and drive the adoption of AI-enabled software delivery practices across engineering teams
Define and implement scalable software architecture solutions incorporating modern AI technologies
Support development teams in effectively using AI tools to improve productivity, code quality, and delivery speed
Lead the design and implementation of AI-powered applications, including copilots, assistants, and workflow automation solutions
Apply
LLM-based,
agentic AI, and RAG approaches to solve real business and engineering challenges
Collaborate with engineering, delivery, and business development teams to integrate AI into internal processes and client solutions
Develop and promote best practices for AI usage, including prompt engineering, orchestration, and model integration
Conduct internal trainings, workshops, and knowledge-sharing sessions on AI technologies and tools
Participate in pre-sales activities, including client discovery, solution design, estimations, and technical presentations
Translate complex technical concepts into clear, practical solutions for both technical and non-technical stakeholders
Design AI-enabled business process automation solutions for internal and client use cases
Ensure implementation of responsible AI practices, including security, privacy, observability, and model evaluation
Prototype and validate AI solutions using modern frameworks and platforms (e.g., Azure AI, OpenAI, LangChain, Semantic Kernel)
Collaborate with clients to identify opportunities for AI adoption and deliver measurable business value
Continuously evaluate emerging AI technologies and recommend their practical adoption within the organization
We offer:
Interesting and challenging projects
Competitive compensation and regular results-based salary review
A broad range of professional education and personal development possibilities
Comfortable and cozy working environment
Motivated colleagues with profound knowledge of the technical field
Аttractive compensation package
Accelerate your career with Leobit!