Senior AI Agentic Architect – Onsite Stockholm

Datamatics-Global-Services-Ltd; Malmö kommun; On-site; SEK 900,000 - 1,500,000; Full time

Job summary

Datamatics-Global-Services-Ltd is seeking an Expert AI Agentic Developer to design, build, and deploy agent-based AI solutions for enterprise use. You will craft scalable workflows, integrate LLMs, and implement LLMOps with a focus on governance and responsible AI while interfacing with cloud and enterprise systems.

The role requires strong Python coding, experience with Docker/Kubernetes, and hands-on cloud deployment in AWS.

Qualifications

• Design, develop, and deploy AI agent-based applications for enterprise use cases.
• Build Agentic AI workflows, including Planner-Executor, Tool Calling, Multi-Agent Systems, and Human-in-the-Loop architectures.
• Develop scalable AI solutions using Python with strong coding, testing, and version control practices.
• Integrate and utilize Large Language Models (LLMs) and Generative AI frameworks such as OpenAI, LangChain, LangGraph, AutoGen, or similar technologies.
• Implement LLMOps practices, including model evaluation, prompt optimization, experimentation, performance monitoring, and performance tuning.
• Ensure AI Governance, Responsible AI, and Guardrails through prompt safety, input/output validation, privacy controls, and risk management.
• Integrate AI solutions with REST APIs, enterprise systems, business applications, and internal/external tools.
• Deploy, manage, and optimize AI applications within AWS cloud environments.
• Utilize Docker, Kubernetes, and CI/CD pipelines for deployment automation and scalability.
• Work with data platforms such as Snowflake for retrieval, grounding, context management, and AI-powered solutions.
• Collaborate with stakeholders to translate business requirements into AI solutions and measurable KPIs.

Responsibilities

• Collaborate with business units to translate requirements into AI-enabled solutions.
• Architect and implement agent-based workflows and governance controls.
• Develop production-ready code with tests, monitoring, and CI/CD automation.
• Evaluate and integrate LLMs and AI tools across enterprise systems.
• Ensure security, privacy, and risk management in AI deployments.

Skills

Python programming

Stakeholder collaboration

Problem solving

Tools

Docker

Kubernetes

CI/CD pipelines

Snowflake

LangChain

REST APIs

OpenAI

AWS

Job description

Datamatics-Global-Services-Ltd is seeking an Expert AI Agentic Developer to design, build, and deploy agent-based AI solutions for enterprise use. You will craft scalable workflows, integrate LLMs, and implement LLMOps with a focus on governance and responsible AI while interfacing with cloud and enterprise systems.

The role requires strong Python coding, experience with Docker/Kubernetes, and hands-on cloud deployment in AWS.