AI Developer

3 нед. назад

PolandEurope

awsazureterraforminfrastructure as codegenerative aillmgrafana

AI Developer role focusing on cloud and platform engineering, leveraging Generative AI technologies, and consulting in the financial sector.

Обязанности

The engagement combines strong Cloud and Platform Engineering expertise with a solid understanding of Generative AI technologies and a consulting mindset.
You will collaborate with architects, engineering teams and business stakeholders to define integration approaches, facilitate architectural alignment and translate technical concepts into implementable solutions.
We are looking for someone comfortable operating at the intersection of solution architecture and hands-on engineering – discussing how enterprise applications and platforms should integrate, recommending appropriate technical approaches and contributing to their implementation.

Будет плюсом

Experience building or integrating enterprise GenAI / LLM platforms
Knowledge of LLM gateways, model routing and AI governance concepts
Experience with observability, data governance and enterprise architecture tooling
Experience delivering solutions in complex enterprise or regulated environments
Previous experience in consulting or client-facing technology engagements
 
 
We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects.
 
 
 
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 communication will be conducted via a recruiter.
 
 
#LI-REMOTE

Другое

At 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.
 
Designing and implementing cloud and platform solutions based on AWS and/or Azure
Building and evolving cloud infrastructure using Terraform / Infrastructure as Code
Contributing to the architecture and implementation of solutions leveraging Generative AI and LLM technologies
Designing integrations between cloud/AI platforms and enterprise technologies such as Grafana, Collibra, Splunk, Kubernetes, LeanIX, Envoy and LiteLLM
Collaborating with client architects and engineering teams to define integration patterns, interfaces and technical solutions
Facilitating architectural alignment across multiple teams and stakeholders
Translating business and technical requirements into scalable solution designs
Combining architectural thinking with practical, hands-on implementation
Identifying technical dependencies, risks and trade-offs and communicating them clearly to stakeholders
Working within an Agile delivery environment alongside multidisciplinary and distributed teams
Providing technical consulting and supporting clients in making informed architecture and technology decisions
 
Strong hands-on experience with AWS and/or Microsoft Azure
Strong practical knowledge of Terraform and Infrastructure as Code
Good understanding of Generative AI, LLMs and modern AI platform concepts
Experience designing and implementing cloud/platform architectures and integrations
Good understanding of Kubernetes and cloud-native architecture
Experience integrating with or working with technologies such as Grafana, Collibra, Splunk, LeanIX, Envoy, LiteLLM or similar
Ability to discuss integration requirements at Solution Architect level and translate architectural decisions into practical implementation
Good understanding of APIs, networking, security and enterprise integration patterns
Strong problem-solving and analytical skills
Excellent communication and stakeholder management skills
Strong consulting mindset – ability to build relationships, facilitate technical discussions, challenge assumptions and drive architectural alignment
Ability to operate independently while collaborating effectively with engineering, architecture and business stakeholders
Agile mindset and experience working in Agile delivery environments
Very good command of English