Senior AI Engineer

Job Description:

We are looking for a Senior AI Engineer to join our dynamic team at the Software Delivery Center of Excellence (SDCoE). The ideal candidate will have a strong background in AI/ML and agentic architectures, with a passion for integrating advanced AI capabilities into our software delivery processes. This role involves developing and implementing AI-driven solutions, integrating various APIs, and optimizing our DevSecOps and SDLC processes.

Key Responsibilities:

AI/ML and Agentic Architectures:

• Develop and implement AI/ML models and agentic architectures using tools like LangChain, LangGraph, or Semantic Kernel for agent workflows, memory, and
• Integrate language models (e.g., Claude, Gemini, Mistral) via APIs for enhanced language model capabilities.
• Enable agents to take structured actions through function calling and tool use
• Utilize vector databases for long-term memory and document
• Fine-tune agent responses and capabilities through prompt
• Implement Retrieval-Augmented Generation (RAG) for effective querying of Confluence/Jira documents.
• Design and implement multi-agent coordination patterns, such as planner-executor and supervisor-worker.

Software Engineering Tool Integration:

• Integrate with Jira REST API/GraphQL, Bitbucket Cloud REST API, or Git command-line for seamless workflow automation.
• Integrate with Atlassian to react to new events in Jira/Bitbucket.
• Integrate MS Teams for chat-based agent

Data Engineering & Analysis:

• Parse logs and summarize natural language content (e.g., commit messages, PRs, tickets).
• Analyze time series and event data to detect bottlenecks and
• Apply embedding techniques to represent documentation, issues, or

Cloud & Infrastructure:

• Utilize containerization (Docker) for deploying
• Ensure observability of AI agents through cloud logging and

2

DevOps/SDLC Optimization Knowledge:

• Understand and optimize SDLC stages (plan, analyse, development, test and deploy).
• Track and improve DORA metrics (deployment frequency, change failure rate, lead

time).

• Experience with agile and scrum

Security & Access Control:

• Maintain audit logging and explainability for AI-driven

Skills and Qualifications:

• Minimum (Professional) Bachelor in Applied Computer Sciences or equivalent through
• At least 10 years of experience in SDLC and/or software
• At least 5 years of experience in AI/ML and agentic
• At least 5 years of experience in a technical leadership role in AI (CTO, lead architect,…)

for a software product company.

• At least 1 reference project in Machine Learning
• At least 2 reference projects in Gen AI, preferable one on Agentic AI
• Proficient in integrating APIs and developing function calling/tool use
• Experience with vector databases, prompt engineering, and Retrieval-Augmented Generation (RAG).
• Strong background in software engineering tool integration and data engineering/analysis.
• Experience with CI/CD pipelines and cloud logging/tracing.
• Understanding of DevOps/SDLC optimization, including DORA metrics
• Familiarity with agile and scrum
• Proficient in English and Dutch or
• Onsite 1 day/week. - Home working 1 day/week