AI Solutions Architect & Production Lead

The Managed Port Calls team requires a Staff AI Engineer to drive AI innovation across our Marcura platform. This role exists to architect and deliver AI-powered features that enhance operational efficiency, predictive capabilities, and decision-making for stakeholders.

The role is hands-on execution—building production-grade AI systems, mentoring engineers on AI/ML best practices, and selecting appropriate technologies and frameworks
. Working closely with product, backend, and data teams, you’ll embed intelligence throughout the platform while ensuring our AI solutions are scalable, reliable, and deliver measurable business value.

• Convert manual processes to fully automated processes
• Partially automate processes when full automation is not achievable
• Help improve efficiency for both operations team and customers
• Reduce the amount of manual (especially repetitive) work mainly for operations team
• Predict answers to questions based on an existing historical knowledge base
• Predict costs based on historical knowledge
• Chat bot style task automation

• Bachelor's Degree in Information Technology, Data Science, Machine Learning/AI, Computer Science or other relevant fields
• Minimum of 8 years of experience in relevant fields including data science and AI

• Experience with LLMs and building AI agents using frameworks like Lang Chain, Lang Graph, and Lang Smith
• Hands‑on experience with prompt engineering, RAG (Retrieval‑Augmented Generation), and LLM orchestration
• Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory management
• Proven experience designing, training, and deploying ML models in production environments
• Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines
• Proficiency in machine learning algorithms and frameworks (e.g., Tensor Flow, PyTorch)

• Strong coding skills in languages such as Python
• Good to have programming experience in Java
• Familiarity with data manipulation and analysis libraries (e.g., Pandas, Num Py)

• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models;
  Azure is the preference

• Understanding of software development life cycle (SDLC) and agile methodologies
• Experience with version control systems (e.g., Git)

• Ability to analyze and interpret complex datasets

• Strong analytical thinking to identify and solve operational inefficiencies
• Ability to design and implement AI‑driven solutions

• Ability to explain complex technical concepts to non‑technical stakeholders
• Strong written and verbal communication skills

• Experience working in cross‑functional teams
• Ability to collaborate with other developers, data scientists, and business analysts

• Competitive Salary and Bonus
• Inclusive Onboarding Experience
• Marcura Wellness Zone
• Global Opportunities
• Diverse, Supportive Work Culture