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Systems Specialist - Full Stack Web & AI Developer - Asset & Work Management jobs in United States
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Con Edison · 12 hours ago

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

Con Edison is a leading utility company in New York, seeking a Full-Stack Developer with expertise in AI development. The role involves designing and implementing AI-driven solutions to enhance Work Management Systems, focusing on robust web applications and machine learning solutions.
Utilities
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Growth Opportunities

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

Qualification

.NET/C#AI developmentAzure AIGoogle Cloud AIMachine learningIBM MaximoCloud technologiesCommunicationDetail orientedPresentation skills

Required

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
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

Preferred

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
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
Training and/or certification in one or more domains desired, e.g. data science, mathematics, statistics, or machine learning Preferred

Benefits

Rich medical & pharmacy benefits, including vision benefits
Dental benefits
Health Savings Accounts
Health Care and Dependent Care Flexible Spending Accounts
401(k) with robust matching
Employer paid Pension Plan
Employee Stock Purchase Plan with a generous matching contribution
State of the art Employee Assistance Program
Paid Parental Leave
Generous paid time off plus paid holidays
Family support: emergency backup child, & elder care assistance
Social responsibility and volunteer opportunities
Employee discount program
Commuter Benefits
Culture of growth and learning: career development; tuition reimbursement; recognition program
Life and Long-Term Disability Benefits

Company

Con Edison

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We provide power to more than 10 million people and businesses across NYC and Westchester.

Funding

Current Stage
Late Stage

Leadership Team

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Joeann Walker
Policy Advocacy Leader, Economic Empowerment Platform, CEO Action for Racial Equity Fellow
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Kimberly Strong
Vice President, Chief Ethics & Compliance Officer
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Company data provided by crunchbase