AI Implementation Specialist

Hi, we're glad you're here! We are hiring to our Aviva Services Excellence Centre! Take a look at our job description - maybe it suits you or one of your friends?

Join our dynamic AI and Data Science team as an AI Implementation Specialist. We are looking for a hands-on professional to help design, build and deliver reliable GenAI applications that create measurable value across the business.

You will develop internal solutions that support employees, automate workflows and enhance decision-making. Working with colleagues across business, product, architecture, platform, data, risk and compliance, you will translate practical business needs into secure and scalable AI solutions. This role is ideal for someone with good development skills who wants to deepen their experience of turning emerging generative AI capabilities into responsible, production-ready applications.

Why is it good to join Aviva?

• Become a part of a team of enthusiasts where initiatives are more than welcome
• You'll have the real influence on the shape of the project (everyone's voice matters)
• You'll have fun creating and implementing high quality solutions using cutting edge tools
• Experience friendly and supportive working culture
• Direct cooperation with the UK team
• Have lots of fun and satisfaction from your work without sacrificing work-life balance
• You'll get access to high quality learning platforms with guaranteed time for self-development during working hours
• Internal upskilling programs available
• Opportunity to use and experience modern technology stack

What will you be doing?

• Designing, developing and supporting AI-powered applications using large language models, cloud services and internal platforms.
• Collaborating with business and product teams to understand needs, define success criteria and translate requirements into practical technical solutions.
• Integrating GenAI capabilities with internal platforms, APIs and enterprise data sources, including context retrieval and agent-based workflows where appropriate.
• Contributing to MLOps workflows, automated testing and CI/CD pipelines that support the safe and repeatable delivery of GenAI applications.
• Helping evaluate, monitor and optimise solution quality, reliability, safety and resource usage, following security, compliance and responsible AI standards.
• Writing clean, testable Python code and contributing reusable components, engineering patterns and technical documentation.
• Recognising and escalating technical, architectural, data and compliance risks, and contributing to resolving production issues with support from the wider team.

What we’re looking for:

• A few years of relevant professional experience.
• Hands-on understanding of large language models and experience developing LLM-based applications, context pipelines or AI-assisted workflows
• Good Python proficiency and experience writing clean, testable code for business applications.
• Practical experience with cloud technologies (AWS, Azure), preferably in the context of generative AI applications.
• Experience with APIs and CI/CD practices.
• Experience with containerisation (Docker/Kubernetes) would be a plus.
• Ability to plan and manage assigned technical tasks across the delivery lifecycle.
• Ability to translate business requirements into effective, maintainable technical solutions, working with support from experienced colleagues where needed.
• Strong analytical, problem-solving and communication skills, with the ability to work effectively with technical and business stakeholders.
• Awareness of security, data protection, responsible AI and compliance requirements in enterprise environments.

Nice to have:

• Familiarity with containerisation technologies (such us Docker or Kubernetes).
• Experience with agent orchestration frameworks, retrieval-augmented generation, evaluation frameworks or AI memory patterns.
• Experience operating AI systems in production, including monitoring quality, reliability and cloud or API resource usage.
• Experience in financial services, insurance or another regulated industry.

In Aviva Services Excellence Centre, we provide:

• Contract of employment
• Performance Bonus
• Private medical care (ENEL-MED)
• Cafeteria system of benefits (e.g. MultiSport card)
• Additional parent privileges: - baby leave - 6 weeks leave for second parent - shortened working time after parental leave
• Employer-funded group insurance
• Employee Shares Plan
• Extra day off for birthday
• Paid time off to volunteer
• Additional leave acquiredover the years in the company (even 5 days more in a year)
• Wellbeing Leave - additional two weeks paid leave after 10 years of service
• Psychological support consultations
• Access to the e-learning platforms
• Internal employee referral program
• Hybrid working model from Poland with a few days in Warsaw office per month
• Attractive office location in Warsaw - Gdański Business Center
• Additional entitlements for people with disabilities - Work Without Barriers
• Work environment that promotes diversity - Diversity Charter

Do you see yourself in Aviva Services Excellence Centre? Be sure to apply!

Aviva is for everyone!

We’ve been ranked the #1 Best Workplace in Poland for a second year in a row and a top choice for Millennials by Great Place to Work®!

As a signatory to the Diversity Charter, Aviva applies a policy of equal treatment and creates a work environment that is friendly to people with disabilities. We do not require from candidates the date of birth, marital status and attached photos to your CV. We encourage all individuals regardless of gender to apply.

Most of our people are smart working - spending also time in our office - combining the benefits of flexibility, with time together with colleagues.

We’re inclusive - we welcome applications from people with diverse backgrounds and experiences.

Excited but not sure you tick every box? Research tells us that women, particularly, feel this way. So, regardless of gender, why not apply and try!

To find out more about current job offers at Aviva take a look here.