Con Edison

GenAI Solutions Engineer Lead

New York, NY

$160,000-$210,000

About This Job

Overview

Come join us at Con Edison as a visionary GenAI Solutions Engineer, leading the development, deployment, and scaling of Generative Artificial Intelligence solutions across our enterprise IT platforms. You will be a key driver in modernizing our IT ecosystem by integrating cutting-edge AI capabilities that transform operations, enable intelligent automation, and deliver measurable business value. The ideal candidate is a technical expert and strategic thinker with hands-on experience in designing and deploying solutions using large language models (LLMs), cloud-based AI platforms, and next-gen data architectures. Deep GenAI expertise and a proven track record of value creation through AI are essential. This role sits at the forefront of innovation, architecture, and delivery, collaborating across departments to implement trustworthy, scalable, and sustainable GenAI systems.

Responsibilities

Core Responsibilities

•

Architect, prototype, and deploy enterprise-grade GenAI solutions using tools such as OpenAI (GPT-4/5), Azure OpenAI, Google Gemini, Anthropic Claude, Amazon Bedrock, Oracle, etc.

•

Lead the design and integration of LLM-powered capabilities across key business and IT platforms, including customer engagement, operations, field support, and digital workforce enablement.

•

Collaborate with business and IT leadership to identify high impact use cases for GenAI, define success metrics, and ensure ethical and responsible AI deployment.

•

Develop reusable frameworks, reference architectures, and governance models for Generative AI adoption.

•

Lead or co-lead cross-functional Agile delivery teams composed of architects, engineers, analysts, and data scientists.

•

Stay ahead of AI/LLM trends and rapidly evaluate the applicability of new tools, models, and frameworks for utility-specific needs.

•

Provide expert technical leadership in areas such as prompt engineering, fine-tuning, vector databases (e.g., Pinecone, FAISS), embeddings, MLOps, AI pipelines, and model lifecycle management.

•

Champion best practices in AI ethics, data privacy, security, and bias mitigation in GenAI systems.

•

Partner with internal security, legal, and data governance teams to ensure compliance and transparency in all AI implementations.

•

Mentor junior engineers and raise GenAI fluency across technical and business teams.

Qualifications

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.

•

Similar Jobs