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

Position: Systems Specialist - Full Stack Web & AI Developer - Asset & Work Management
Location: New York

Job Summary
:
Con Edison is seeking a Full-Stack Developer with experience in AI development to design and implement AI-driven solutions that enhance Work Management Systems. The role involves creating web applications and production-grade AI solutions, utilizing cloud technologies and serving as a technical advisor for AI architecture within the organization.

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 processes predictive 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
:

• 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

• Driver's License 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 Open Shift for containerized workloads, preferred

• Ability to establish medium and long-term plans and priorities and estimate investment requirement, preferred

• Experience…