AI CLOUD TECH LEAD

LITIT, a joint venture between NTT DATA and Reiz Tech, is a company with deep-rooted industry know-how, dedicated to innovation within the IT sector. Its primary focus is delivering high-quality solutions in the DACH region. With a commitment to excellence, LITIT combines the best of German precision, Japanese work ethics, and Lithuanian talent to provide unparalleled IT service and support to its clients.

Our client is a renowned global enterprise in the automotive industry, widely recognized for its innovation, engineering excellence, and premium-quality products. With operations spanning multiple markets, the company is driving forward its digital transformation by investing heavily in data-driven technologies and cloud-based solutions.

They are committed to building a modern, scalable, and secure data ecosystem that empowers business units worldwide to leverage data for decision-making, product innovation, and operational efficiency. Joining this project means contributing to one of the most exciting digital transformations in the automotive sector today.

We are looking for an AI Cloud Tech Lead with strong experience in AWS cloud engineering, GenAI integration, and technical leadership. The role focuses on leading the design and delivery of secure, scalable AI enabled cloud solutions while working closely with client stakeholders, product teams, architects, and engineering teams.

You will help translate business and technical needs into solution designs, implementation plans, user stories, and delivery roadmaps. You will guide the engineering team, support architectural decisions, contribute to implementation when needed, and ensure high standards for security, reliability, scalability, and operational excellence

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  Lead the design and delivery of AI enabled cloud solutions on AWS.

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  Work with client Project Owners, business stakeholders, architects, and platform teams to understand requirements and define solution direction.

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  Translate client needs into technical requirements, user stories, implementation plans, and delivery roadmap.

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  Guide engineering teams working with Python, AWS Lambda, API Gateway, IAM, Secrets Manager, CloudWatch, S3, SageMaker, Bedrock, and AWS CDK.

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  Design cloud native backend services and integrations between internal systems and external APIs.

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  Define secure and scalable patterns for GenAI, LLM integrations, AI agents, and tool based architectures.

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  Support technical decision making across architecture, infrastructure, backend services, security, and operations.

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  Review designs and implementation to ensure quality, maintainability, security, and scalability.

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  Collaborate with product, platform, security, and delivery teams to align solution implementation with project goals.

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  Identify technical risks, dependencies, and delivery blockers, then help resolve them.

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  Contribute to hands on implementation, troubleshooting, and technical problem solving when required.

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  Mentor engineers and support the team in following strong engineering and cloud practices.

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  Prepare and lead technical workshops, solution reviews, demos, and client discussions.

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  Ensure secure usage of LLMs, including prompt handling, secrets management, logging practices, and prevention of sensitive data exposure.

• 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.