Systems Specialist - Full Stack Web & AI Developer - Asset & Work Management

Overview

Responsibilities

• Evaluate the current AI solutions that are implemented, including those within Maximo, as well as analyze and develop future processes related to GenAI and machine learning
• Collect, monitors and process large amounts of data related to models
• Identify, evaluate and develop roadmaps for the integration of machine learning and GenAI solutions
• Develop AI use cases that enhance WMS processespredictive analytics, automation, decision support, NLP, and generative AI scenarios. Lead in implementing LLMs using Retrieval-Augmented Generation (RAG), fine tuning models, and using various types of LLMs including GPTs, Llama, or otherwise
• Develop APIs and web applications (front-end/back-end) using .NET/C#, SQL and Azure cloud technologies
• Implement Retrieval-Augmented Generation (RAG), vector search, embeddings, fine-tuning, and custom LLM workflows
• Utilize Azure AI (Azure Machine Learning, Azure OpenAI, AKS, Functions) and Google Vertex AI for training, inference, and orchestration
• Build clean, scalable, cloud-integrated C#/.NET services that interface with AI models, data pipelines, and enterprise systems
• Collaborate with peers; research, establish and update technical standards; manage application development lifecycle and methodologies, provide oversight on processes and other governance responsibilities
• Provide guidance and/or conduct architectural, configuration, solution & quality reviews. Take the lead on issues requiring coordination with all internal IT groups and other organizations, including vendors to ensure that issues are addressed. Direct team members as required for resolution
• Develop proof-of-concept solutions related to machine learning and GenAI as required
• Conduct research and evaluations on current AI trends. Relay training material and insight to the team to ensure broad exposure to best practices
• Develop business acumen and supporting applications (IBM Maximo) specifically in utility asset and work management domain
• Perform other related tasks and assignments as required

Qualifications

• Master's Degree and a minimum of 2 years full-time work experience in Information Technology or a related field or
• Bachelor's Degree and a minimum of 3 years full-time work experience in Information Technology or a related field or
• Associate's Degree and a minimum of 5 years full-time work experience in Information Technology or a related field or
• High School Diploma/GED and a minimum of 7 years full-time work experience in Information Technology or a related field

• Bachelor's Degree in Information Technology, Computer Science, Math, Engineering or business-related discipline preferred and a minimum of 3 years full-time work experience in Information Technology or a related field

• Software development experience designing, developing, implementing technologies, required
• Experience packaging and deploying ML/GenAI services, required
• Strong research skills and the ability to convey information to team members in order to raise general awareness of AI best practices, required
• Conversant in emerging technologies and practices, e.g. AI, Cloud (SaaS, PaaS), mobile, sensors (Internet of Things), required
• Interact with all levels of management and communicate technical concepts to a non-technical audience, required
• Experience with vector databases, pipeline orchestration tools, and model evaluation frameworks, preferred
• Working knowledge or experience with Utilities or Asset Work Management domain, or product experience with IBM Maximo, preferred
• Experience with Docker, Kubernetes, or OpenShift for containerized workloads, preferred
• Ability to establish medium and long-term plans and priorities and estimate investment requirement, preferred
• Experience launching and maintaining ML and GenAI Models in Production, (experience with Maximo or other IBM tools such as WatsonX), preferred
• Hands on building and operating AI solutions with Cloud Technologies, such as Azure AI/ML & Azure OpenAI (AI Foundry) and Google Vertex AI (training, inference, registries, endpoints), preferred
• Demonstrated application of Responsible AI practices (evaluation, safety filters, bias checks), cloud security (Key Vault/Secret Manager, RBAC, network policies), and adherence to enterprise governance (pre intake/approvals, audit logging), preferred

• Strong written and verbal communication skills
• Well organized, detail oriented and flexible to handle multiple assignments
• Ability to work within tight timeframes and meet strict deadlines
• Ability to inspire and develop staff
• Develops and delivers effective presentations

• Driver's License Required
• Other: Training and/or certification in one or more domains desired, e.g. data science, mathematics, statistics, or machine learning Preferred

• Sit or stand to use a keyboard, mouse, and computer for the duration of the workday

• The selected candidate will be assigned a System Emergency Assignment (i.e., an emergency response role) and will be expected to work non-business hours during emergencies, which may include nights, weekends, and holidays.
• Ability to be flexible to work off-hours as required to support deployments and resolve production problems