Responsibilities

• Design, plan, and implement AI, Generative AI, and Agentic-AI architectures for customer projects

• Develop custom end-to-end GenAI and LLM-based solutions, using frameworks such as LangChain, LangGraph, AutoGen, HuggingFace, and OpenAI APIs

• Implement and operate machine learning systems using TensorFlow, PyTorch, and modern LLM/ML tooling

• Build and manage cloud-based AI ecosystems on AWS, Azure, or GCP, including architecture design and platform operations

• Apply DevOps/MLOps and LLMOps practices, including CI/CD pipelines, containerization (Docker, Kubernetes), and model deployment workflows

• Collaborate closely with enterprise architects, engineering teams, and C-level stakeholders to align AI roadmaps and solution strategies

• Evaluate and introduce new AI technologies, frameworks, and agentic tools to expand the organization’s (Gen)AI capabilities

• Lead the technical execution of proof-of-concepts (PoCs) in an agile environment

• Provide strategic consulting on cloud-native, scalable, and secure AI platform architectures

Requirements

• Degree in (Business) Computer Science, Engineering, or a comparable technical field

• 5+ years of experience as a Solutions Architect or Enterprise Architect in cloud/data environments

• Proven experience developing and integrating LLM or Generative AI solutions into production systems

• Hands-on project experience designing complex cloud architectures on AWS, Azure, or GCPStrong knowledge of AI/ML development with Python and major ML frameworks (TensorFlow, PyTorch, HuggingFace)

• Practical experience with agentic AI frameworks (e.g., LangGraph, AutoGen) and LLM orchestration tools

• Experience with MLOps, DevOps, and container technologies such as Docker and Kubernetes; familiarity with CI/CD for ML models

• Understanding of architecture frameworks and agile methods (Scrum, Kanban)

• Excellent English communication skillsWillingness to travel, depending on project requirements

Apply with us

If you have experience and team spirit and are looking for a great place to work, then start your job with us.

As part of our dedication to the diversity of our workforce, in-tech is committed to equal employment opportunity without regard for age, race, colour, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.