Kirey
Kirey
1,001 – 5,000 Employees
ConsultingHealthcareManufacturing
Kirey is a European technology and digital consulting group that supports organizations in finance, manufacturing, public administration, energy, and healthcare. With roots in Italy and an international team of more than 1,500 employees, the company helps clients modernize operations through Data & AI, cloud and infrastructure, software development, cybersecurity, and automation. Its work includes AI and machine learning, generative AI, data platforms and governance, cloud migration, platform engineering, security monitoring, antifraud solutions, DevOps, and application development. Kirey’s hiring context spans the technical and consulting expertise needed to deliver digital transformation and data-driven innovation across these industries.

Senior AI Software Engineering Lead, Kirey Hybrid Italy

Lead the adoption of Generative AI across Kirey’s software teams. Improve enterprise software productivity, quality, delivery speed, and legacy application modernization.

Description

  • Design, introduce, and promote AI tools that support software development teams.
  • Identify opportunities to improve Software Engineering processes through Generative AI technologies.
  • Help analyze and understand legacy applications by reconstructing functional and business knowledge from existing code and documentation, with particular attention to insurance processes and application dependencies.
  • Support developers in using coding assistants, AI agents, and advanced productivity tools.
  • Establish standards, guidelines, and best practices for effective AI use throughout the software development lifecycle.
  • Build reusable accelerators, frameworks, and automations to improve team efficiency.
  • Define KPIs and metrics to measure the impact of introduced solutions on quality, productivity, and time to market.
  • Work with technical teams and stakeholders to identify high-value use cases.
  • Expand AI capabilities through coaching, hands-on support, and training.
  • Identify opportunities to modernize applications by applying artificial intelligence.

Requirements

  • Significant experience in software development and enterprise application lifecycles.
  • Experience using AI for code analysis, reverse engineering, impact analysis, and automated documentation.
  • Knowledge of core Software Engineering practices.
  • Experience applying AI tools to software development.
  • Ability to understand application architectures and complex delivery processes.
  • Experience with version control systems, CI/CD, and release processes.
  • A pragmatic, results-focused approach.
  • Strong collaboration skills with technical teams and stakeholders.
  • Nice to have: Experience with Large Language Models (LLMs).
  • Nice to have: Knowledge of AI agents, function calling, and agentic frameworks.
  • Nice to have: Knowledge of Python.
  • Nice to have: Experience with GitHub Copilot, Copilot Studio, Claude, Cursor, or similar tools.
  • Nice to have: Experience in insurance, banking, or highly regulated environments.
  • Nice to have: Familiarity with legacy systems and application modernization initiatives.
  • Nice to have: Knowledge of COBOL/Mainframe applications.

Benefits

  • Work on complex, innovative projects.
  • Dynamic, merit-based work environment.
  • Agile team collaboration.
  • Professional growth plan.
  • Training courses and certifications.
  • Welfare and benefits program.
  • Smart working or genuine full remote options with flexible hours.

Related Jobs

Smart Working

Senior Python Data Engineer at Smart Working (Remote, India)

Smart Working
51 – 200 Employees
ConsultingHealthcareMarketing

Build Python data pipelines, APIs, and backend services on AWS. Keep production systems dependable with Kubernetes, PostgreSQL, and search and NoSQL databases.

Open