Senior Python/AWS Engineer — AI, Prompt Engineering Banking

PRACYVA

Poland

On-site

PLN 420,000 - 540,000

Full time

2 days ago
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Job summary

PRACYVA is seeking a Senior Enterprise Architect to lead SI and Banking domain initiatives with presales experience and AI focus. You will shape technology strategy, governance, and large-scale platform engineering for enterprise clients.

The role requires deep expertise in AI, cloud, microservices, Java/Spring, Kafka, REST, and experience with AWS/Azure/GCP, Databricks or Snowflake, and enterprise integration patterns.

Qualifications

  • B.S. or M.S. in Computer Science, Engineering, or a related tech discipline.
  • 15+ years in software development, engineering, architecture, or tech leadership.
  • 5+ years in a technical leadership role such as Enterprise Architect or similar client-facing role.
  • Ability to connect technology strategy to business outcomes and client priorities.
  • Deep knowledge of AI-native delivery, GenAI/LLMs, and responsible AI practices.
  • Experience applying AI tools in engineering workflows (architecture, coding, testing, DevSecOps, etc).
  • Experience defining governance for Agentic AI in regulated environments.
  • Knowledge of cloud, containers, Kubernetes, microservices, and API platforms.
  • Proficiency in Java, Spring, Kafka, REST services, and secure platform engineering.
  • Experience with hyperscalers and platforms like Databricks/Snowflake.

Skills

AI leadership
Presales experience
Enterprise architecting
Client-facing delivery
Cloud platforms
APIs & microservices
Java/Spring
Kubernetes
Observability & reliability
Executive communication

Education

B.S. or M.S. in CS/Engineering

Tools

AWS
Azure
GCP
Databricks
Snowflake
REST
API gateways

Job description

PRACYVA is seeking a Senior Enterprise Architect to lead SI and Banking domain initiatives with presales experience and AI focus. You will shape technology strategy, governance, and large-scale platform engineering for enterprise clients.

The role requires deep expertise in AI, cloud, microservices, Java/Spring, Kafka, REST, and experience with AWS/Azure/GCP, Databricks or Snowflake, and enterprise integration patterns.

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