Systems Specialist - Full Stack Web & AI Developer - Asset & Work Management
Con Edison Company of New York
New York, NY 10003$105,000 - $145,000 a yearFull Time
Job Description
Overview
We are seeking a Full-Stack Developer with demonstrated experience in AI development to design, implement, and operationalize AI-driven solutions that enhance Work Management Systems (WMS). This position emphasizes the creation of robust web applications and production-grade AI and machine learning solutions utilizing Azure AI, Google Cloud AI (Vertex AI), and emerging IBM Maximo AI capabilities. The ideal candidate will possess substantial software engineering expertise in .NET/C#, comprehensive knowledge of cloud technologies, and a strong interest in advancing next-generation AI use cases within the utility sector. Additionally, the candidate will serve as a technical advisor for AI solution architecture within WMS and across broader IT functions.
Responsibilities
Core 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
Required Education/Experience
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
Preferred Education/Experience
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
Relevant Work Experience
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
Skills and Abilities
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
Licenses and Certifications
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
Physical Demands
Sit or stand to use a keyboard, mouse, and computer for the duration of the workday
Additional Physical Demands
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
We are seeking a Full-Stack Developer with demonstrated experience in AI development to design, implement, and operationalize AI-driven solutions that enhance Work Management Systems (WMS). This position emphasizes the creation of robust web applications and production-grade AI and machine learning solutions utilizing Azure AI, Google Cloud AI (Vertex AI), and emerging IBM Maximo AI capabilities. The ideal candidate will possess substantial software engineering expertise in .NET/C#, comprehensive knowledge of cloud technologies, and a strong interest in advancing next-generation AI use cases within the utility sector. Additionally, the candidate will serve as a technical advisor for AI solution architecture within WMS and across broader IT functions.
Responsibilities
Core 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
Required Education/Experience
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
Preferred Education/Experience
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
Relevant Work Experience
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
Skills and Abilities
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
Licenses and Certifications
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
Physical Demands
Sit or stand to use a keyboard, mouse, and computer for the duration of the workday
Additional Physical Demands
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