Required Education/Experience

• Master's Degree Preferably in IT, Computer Science, Business Administration, Engineering or Sciences including Mathematics, Analytics, and Quantitative Methods. and Minimum 6 years experience designing, developing, implementing, and operating technologies in one or more IT domains, e.g. applications, data, solution, infrastructure, process change management.

• Bachelor's Degree Preferably in IT, Computer Science, Business Administration, Engineering or Sciences including Mathematics, Analytics, and Quantitative Methods. Minimum 8 years experience designing, developing, implementing, and operating technologies in one or more IT domains, e.g. applications, data, solution, infrastructure, process change management.

Relevant Work Experience

• 8+ years in enterprise IT or solution engineering roles, required.

• 3+ years of direct experience with GenAI technologies, including LLMs and related AI architectures, required.

• Experience delivering at least two production-grade GenAI systems, with proven business impact (e.g., automation, customer service, document intelligence, summarization, recommendations, etc.), required.

• Experience with enterprise AI tools from Microsoft (Azure Foundry, Azure OpenAI), Google Cloud (Vertex AI, Gemini), AWS (Bedrock, SageMaker), and open-source ecosystems (LangChain, LlamaIndex, Hugging Face), required.

• Experience working with enterprise data platforms such as but not limited to Azure Data Lake Storage (ADLS), Google Cloud Storage (GCS), Google BigQuery, Azure Fabrics/Synapse and Databricks, required.

• Strong grasp of AI/ML lifecycle: data ingestion, model selection, evaluation, deployment, monitoring, required.

• Familiarity with AI safety frameworks, hallucination mitigation, human-in-the-loop (HITL) patterns, and GenAI risk management, required.

• Experience working with energy, utilities, or industrial IoT data is a plus preferred.

• Deep technical fluency in GenAI, AI architecture, cloud-native design, and automation strategies, required.

• Ability to motivate, challenge and develop staff, required.

• Must be flexible and able to work off-hours as required to support deployments, resolve production problems or respond to corporate emergencies, required.

• Manage projects including but not limited to resources, scope, budget (costs), schedule & overall project plans, required.

• Experience identifying and vetting vendor products preferred, including developing requests for proposal, vendor research and proposal evaluation. Experience preferred in planning vendor technology upgrades or obsolescence management, required.

• Experience participating on multi-disciplinary review boards a plus, preferred.

• Strong communication skills with the ability to translate complex technical capabilities into business value, preferred.

• Emotional intelligence, team leadership, and stakeholder influence, preferred.

• Agility in experimentation, learning, and iteration, preferred.

Licenses and Certifications

• Driver's License Required

• Other: Microsoft Azure AI Engineer, Google Professional Machine Learning Engineer, OpenAI Developer certification, AWS Certified 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.

• 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.

EEO Statement:

Consolidated Edison Company of New York, Inc. (Con Edison), Orange & Rockland Utilities (O&R), and Consolidated Edison Transmission (CET) are equal opportunity employers. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of the individual’s actual or perceived disability, protected veteran status, race, color, creed, religion, sex, age, national origin, gender, gender identity, gender expression, genetic information, marital status, sexual orientation, citizenship, domestic violence victim status, or any other actual or perceived status protected by law.

Technical Difficulty Statement:

For technical issues, please contact us at careerconnect@coned.com