Senior AI Engineer – AI Transformation & Delivery
Capco is hiring a Senior AI Engineer – AI Transformation & Delivery in Warsaw, Poland. Level rates it ; you can apply on Capco.
Level's read on this job
- Builds AI ●●●● is how Level rates this AI engineer role: the job is building AI systems.
- The posting mentions RAG, AI agents and AI safety among its tools and skills.
- Level classes it as a senior role.
- Capco has 702 other open roles on Level.
AI in this role
CAPCO POLAND
* We are looking for Poland based candidate.
At Capco Poland, we’re not just another consultancy - we’re the spark behind digital transformation in the financial world. As a global leader in technology and management consulting, we thrive on helping clients tackle the toughest challenges across banking, payments, capital markets, wealth, and asset management.
Build secure, scalable AI solutions that turn banking innovation into production-ready capabilities.
The Role
As a Senior AI Engineer within our AI Delivery Team, you will provide the technical engineering expertise needed to take high-value banking AI use cases from assessment and experimentation through to working solutions.
Working alongside Engagement Managers, AI Consultants and client teams, you will help translate business requirements and use-case dossiers into robust technical designs, prototypes and production-ready AI capabilities. You will contribute hands-on across solution architecture, engineering, integration, testing and deployment.
You will work with modern AI approaches, including Generative AI and Agentic AI where appropriate, while ensuring solutions are engineered with security, privacy, explainability, auditability and human oversight in mind. You will also use approved AI-enabled engineering tools and automation to improve development speed and quality, with appropriate human review and validation.
What You’ll Do
- Design, build and iterate AI solutions for banking use cases, translating business and functional requirements into robust technical architectures, prototypes and production-ready capabilities.
- Develop and integrate AI applications, including Generative AI and Agentic AI solutions where appropriate, connecting models with enterprise data, APIs, applications and existing banking technology environments.
- Engineer the controls required for responsible and secure AI, including access control, logging, traceability, explainability, auditability, human oversight and reproducibility of AI-supported decisions.
- Establish effective testing, evaluation and monitoring approaches for AI solutions, assessing performance, quality, reliability, security and appropriate model behaviour before and after deployment.
- Use approved AI-enabled development tools and automation to accelerate engineering, testing, documentation and troubleshooting while maintaining human review, secure development practices and clear audit trails.
What We’re Looking For
- Demonstrated software or AI engineering experience, with hands-on experience designing, developing, integrating and deploying AI-enabled applications or services.
- Practical experience working with AI technologies, including Generative AI, large language models and related application patterns, with an understanding of Agentic AI approaches.
- Experience integrating AI capabilities with enterprise systems, data sources and APIs, with knowledge of scalable application architecture, cloud environments and modern software engineering practices.
- Understanding of responsible AI and engineering controls relevant to regulated environments, including privacy, cybersecurity, access control, logging, explainability, auditability and human oversight.
- Ability to work collaboratively with business, product, data, risk and technology stakeholders, translating requirements and use-case assessments into practical technical solutions.
Bonus Points For
- Experience building AI solutions within banking, financial services or another regulated environment.
- Experience with LLM application patterns such as retrieval-augmented generation (RAG), tool use, structured outputs, evaluation frameworks or AI agents.
- Familiarity with AI/ML deployment, monitoring, observability and lifecycle management practices in enterprise environments.
- Knowledge of the EU AI Act and its implications for the design, engineering, documentation and governance of AI systems.
- Curiosity and confidence in experimenting with approved AI engineering tools, automation and emerging AI capabilities while applying appropriate security, governance and human-in-the-loop controls.
We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.
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How we rate this
Senior AI Engineer – AI Transformation & Delivery at Capco rates 91 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in AI engineer jobs at this level
Pay
- Typical AI engineer job
- $184k
This posting doesn't list pay. Use the typical AI engineer figure when pay comes up. See AI engineer jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you think about the risk of an AI system in this kind of role failing silently?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: RAG, AI agents, and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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