AI Cloud Tech Lead

LITIT

AI Cloud Tech Lead responsible for designing and delivering secure AI enabled cloud solutions on AWS. Leading engineering teams and collaborating with stakeholders in a digital transformation project for a global client.

Posted 6/19/2026full-timeRemote • 🇱🇹 LithuaniaSenior💰 €6,000 - €7,500 per monthWebsite

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Lead the design and delivery of AI enabled cloud solutions on AWS.
Work with client Project Owners, business stakeholders, architects, and platform teams to understand requirements and define solution direction.
Translate client needs into technical requirements, user stories, implementation plans, and delivery roadmap.
Guide engineering teams working with Python, AWS Lambda, API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, Bedrock, and AWS CDK.
Design cloud native backend services and integrations between internal systems and external APIs.
Define secure and scalable patterns for GenAI, LLM integrations, AI agents, and tool based architectures.
Support technical decision making across architecture, infrastructure, backend services, security, and operations.
Review designs and implementation to ensure quality, maintainability, security, and scalability.
Collaborate with product, platform, security, and delivery teams to align solution implementation with project goals.
Identify technical risks, dependencies, and delivery blockers, then help resolve them.
Contribute to hands on implementation, troubleshooting, and technical problem solving when required.
Mentor engineers and support the team in following strong engineering and cloud practices.
Prepare and lead technical workshops, solution reviews, demos, and client discussions.
Ensure secure usage of LLMs, including prompt handling, secrets management, logging practices, and prevention of sensitive data exposure.

Requirements

What you’ll need

Strong experience in cloud engineering and cloud solution delivery on AWS.
Experience leading technical teams or acting as a technical owner for cloud based projects.
Strong understanding of AWS services such as Lambda, API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, Bedrock, and CDK.
Strong Python backend development background.
Experience designing and implementing REST APIs and cloud native backend services.
Experience with infrastructure as code, preferably AWS CDK.
Experience integrating internal systems with external APIs and enterprise tools.
Practical understanding of GenAI and LLM integration patterns, preferably using Amazon Bedrock or similar platforms.
Understanding of AI agents, tool use patterns, MCP style architectures, or similar orchestration concepts.
Strong knowledge of secure cloud architecture, IAM, secrets management, observability, scalability, and operational reliability.
Ability to communicate clearly with client stakeholders, Project Owners, architects, product teams, and engineers.
Ability to structure unclear requirements into technical scope, stories, priorities, and delivery plans.
Strong troubleshooting skills in distributed cloud environments.
Experience with Git or GitLab based collaborative development workflows.
Willingness and readiness to travel as required by project or client needs is expected. This may include occasional domestic or international travel, sometimes on short notice.

Benefits

Comp & perks

Learning opportunities with compensated certificates, learning lunches, and language lessons.
Chance to switch projects after one year.
Team building twice a year.
Office in Vilnius, Lithuania that offers themed lunches and a pet-friendly environment.
Remote work opportunities.
Flexible time off depending on a project.
Seasonal activities with colleagues.
Additional health insurance and loyalty days for Lithuanian residents.
Referral bonuses.
Recognition of important occasions of your life.

ATS Keywords

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Hard Skills & Tools

PythonAWS LambdaAPI GatewayIAMSecrets ManagerCloudWatchS3SageMakerBedrockAWS CDK

Soft Skills

leadershipcommunicationproblem solvingmentoringcollaborationtroubleshootingtechnical decision makingstructuring requirementsrisk identificationclient engagement