Role overview

Qualifications

7+ years of progressively senior AI/ML or automation deployment experience, including at least 3 years in production deployments in live products with hundreds of users.
Proven track record translating AI research into deployable, financially viable solutions in high-uptime, mission-critical environments (e.g., transportation, logistics, healthcare, manufacturing, defense).
Strong technical and cloud/MLOps skills: production Python experience and at least two of C#, C/C++, Java, Go; experience with ML stacks (TensorFlow, PyTorch, Scikit-learn, Transformers/LLMs) and MLOps tools (MLflow, TFX, Kubeflow, Docker, Kubernetes); familiarity with cloud infra (AWS/Azure/GCP).
Strong educational background with minimum Bachelor's in Computer Science, Statistics, Engineering, Physics, or ORIE; Masters or PhD preferred; cloud AI/ML certifications are a plus.

Responsibilities

Design, develop, and deploy production-grade AI/ML solutions covering data ingestion, model development, deployment, monitoring, and maintenance; build end-to-end MLOps pipelines for automation, reproducibility, and scalability.
Deploy AI solutions on cloud (AWS, Azure, GCP) and on-premise infrastructure; optimize models for latency, resource usage, and regulatory compliance.
Apply AI/ML to domain challenges across the Modaxo group, including computer vision, scheduling/planning, deep learning/LLMs, and predictive analytics; work in high-uptime, mission-critical contexts.
Lead change management: train technical and non-technical stakeholders, implement guardrails for responsible and ethical AI use, collaborate with engineering teams, mentor partners, and align projects with strategic business goals.

Key facts

Remote from: United Kingdom, Canada, United States
Full time
Solutions Architect
English

Hard skills

Other skills

Collaboration
Leadership
Results Focused
Business Acumen
Mentorship

About the company

Modaxo

Modaxo brings together businesses focused on providing the technologies that move the world’s people each and every day. Working both together and independently, our businesses are focused on one thing – delivering software and technology solutions that help connect people with the places they need to go for work, family, and everyday life. No other organization brings together so many different businesses, competencies, and experiences under one global banner to focus exclusively on People Transportation. With people who are truly passionate about what they do, Modaxo understands the impact mobility has on the fabric of daily life. We thrive on delivering dependable solutions that meet the real-life needs of our customers in the communities where we live and serve.

Company details

Company size1001 - 5000

Links

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Job description

Job Summary:

The Senior AI Solutions Architect will be responsible for identifying, developing, and deploying technical AI/ML solutions that drive measurable impact across Modaxo’s portfolio companies and have a positive effect on their clients and product end users. This role requires deep technical expertise in practical AI/ML, combined with a strong understanding of business-building, particularly financial drivers. The ideal candidate will have experience taking AI solutions from research and prototypes, into production in mission-critical environments, ensuring high availability, scalability, and maintainability.

This is a high-visibility role, you will be a key contributor to Modaxo’s AI growth strategy. Professional development is an integral part of the Modaxo culture, and you’ll draw on your prior experience in building and mentoring technical teams (including third-party partners) to help with future expansion plans. You will directly contribute to the technical implementation, growth and transformation of all businesses under Modaxo, driving change across the global people transportation vertical.

Job Description:

Full-Stack AI/ML Development & Deployment

Design and implement production-grade AI/ML solutions, covering data ingestion, model development, deployment, monitoring, and maintenance.

Develop end-to-end MLOps pipelines, ensuring automation, reproducibility, and scalability.

Advise on and help to optimize production AI models for real-world constraints, such as latency, resource usage, and regulatory compliance.

Deploy AI solutions on cloud (AWS, Azure, GCP) and on-premise infrastructure.

Specific Industry Applications

You will apply AI/ML and other analysis and automation techniques to complex problem domains within the Modaxo group of companies, including:

Computer Vision (object detection, image segmentation, anomaly detection, text extraction).

Scheduling & Planning (resource allocation, constraint optimization, fleet routing).

Deep Learning & LLMs (transformers, reinforcement learning, generative AI for a range of text-based applications).

Predictive Analytics (time-series and demand forecasting, risk assessment).

Prior experience in high-uptime, mission-critical industries such as transportation, logistics, healthcare, defense, high energy physics research, or manufacturing.

Change Management & Results Focus

Work directly with engineering teams to ensure smooth transition from lab to production.

Conduct training seminars for both technical non-technical stakeholders on AI capabilities, methods, tools, and governance.

Implement technical guardrails for responsible, safe and ethical use of AI/ML within Modaxo company products and experiments.

Lead by influence; be a trusted authority.

Assist Modaxo’s Head of AI and the AI Program Manager to develop and refine financial models to quantify the impact of AI investments.

Align AI projects with strategic goals, ensuring measurable business outcomes.

Required Skills & Experience

Experience

7+ years of progressively senior experience, deploying AI/ML and/or automation solutions, with at least 3 years working on production deployments of AI models and tools in live products with hundreds of users.

Experience working on production grade products in a high-uptime, mission-critical environment with large-scale AI systems used by thousands of users.

Proven track record of translating AI research into deployable, financially viable solutions.

Prior experience working in logistics, transportation, transit, healthcare, defense, or manufacturing, or similar.

Technical Skills

Working production experience in Python, and at least two of: C#, C/C++, Java, Go

Machine Learning & AI stacks, including: TensorFlow, PyTorch, Scikit-learn, Transformers, LLMs.

Customization: fine-tuning, RAG, other related methods.

MLOps & DevOps: MLflow, TFX, Kubeflow, Docker, Kubernetes, CI/CD terminology and pipelines in GIT, Jira

Cloud & Infrastructure: AWS BedRock, SageMaker AI, Azure Machine Learning, GCP Vertex AI, Kubernetes, Terraform

Data Engineering: Apache Kafka, Spark, Airflow, Parquet, SQL, NoSQL and graph databases.

Optimization & Scheduling: Constraint optimization (eg. LP), Reinforcement Learning.

Education

Minimum Bachelors in Computer Science, Statistics, Engineering, Physics or OR&IE, with a focus on AI, Machine Learning, Data Science, or related field. Masters or PhD preferred.

Certifications in cloud AI/ML (AWS, Azure, GCP) are a strong asset.

Worker Type:

Regular

Number of Openings Available: