Who We Are
Were powering a cleaner, brighter future.
Exelon is leading the energy transformation, and were calling all problem solvers, innovators, community builders and change makers. Work with us to deliver solutions that make our diverse cities and communities stronger, healthier and more resilient.
Were powered by purpose-driven people like you who believe in being inclusive and creative, and value safety, innovation, integrity and community service. We are a Fortune 200 company, 19,000 colleagues strong serving more than 10 million customers at six energy companies Atlantic City Electric (ACE), Baltimore Gas and Electric (BGE), Commonwealth Edison (ComEd), Delmarva Power & Light (DPL), PECO Energy Company (PECO), and Potomac Electric Power Company (Pepco).
In our relentless pursuit of excellence, we elevate diverse voices, fresh perspectives and bold thinking. And since we know transforming the future of energy is hard work, we provide competitive compensation, incentives, excellent benefits and the opportunity to build a rewarding career.
Are you in?
Primary Purpose
PRIMARY PURPOSE OF POSITION
Exelon is seeking a Director of AI and Machine Learning to drive the execution of AI/ML strategy and innovation in our energy intelligence efforts. As a leader within the AI and Machine Learning (AIML) organization, you will focus on implementing the Exelon AIML strategy leveraging large-scale ML systems, computer vision, natural language processing, and multi-modal understanding. You will be responsible for executing best practices for the ML lifecycle, ensuring our solutions are private, reliable, and scalable across the entire consumer ecosystem while aligning with Exelons broader AIML strategy. The Digital Solutions team is looking for a results-driven leader with deep expertise in the end-to-end ML lifecycle, including data ingestion, model training, deployment, monitoring, and retraining. This individual will be instrumental in driving the execution and implementation of our ML platform, leading engineering teams, and ensuring all AI/ML initiatives align with Exelons overall AIML vision and strategic priorities.
Primary Duties
PRIMARY DUTIES AND ACCOUNTABILITIES
Partner with engineering teams and developers across Exelon to deploy cutting-edge technologies that accelerate the ML lifecycle and integrate seamlessly with broader enterprise initiatives. (30%)
Direct AIML engineering teams to implement best practices, tools, and processes for managing the ML lifecycle, including data management, model training, validation, deployment, monitoring, and retraining. (20%)
Serve as a key executor in translating AI/ML strategy into tangible, scalable solutions that align with Exelons business objectives and strategic goals. (20%)
Drive the execution of the complete product lifecycle from concept to deployment, ensuring consistency with Exelons digital transformation and AIML strategies. (10%)
Gather customer feedback and analyze market trends to refine product roadmaps and communicate execution plans to senior management, ensuring continuous alignment with Exelons broader AI/ML objectives. (10%)
Translate product and program requirements into actionable technical use cases, proactively identifying risks and enabling engineering teams to mitigate challenges while maintaining alignment with company-wide AI/ML standards. (5%)
Ensure all ML programs meet performance specifications, key business metrics, and regulatory compliance standards while staying aligned with corporate AI/ML governance. (5%)
Job Scope
JOB SCOPE
Level and depth of supervisory duties: This leader should have experience managing demand for work and ensuring timely and within budget delivery of AIML innovations throughout Exelon. They should also have experience educating team regarding the benefits of AI and knows how to work to identify areas where the application of AIML would lead to process and cost efficiencies. They should be experienced in making AIML cultural within organizations.
Total number of employees managed; direct and indirect reports (span of control) Newly formed area, this director will begin with a manager and two E03s reporting to them as well as multiple pods (30 people) of contractors working on the extensive AI work happening within Exelon.
Level of independence, decision-making authority or strategic planning accountability This person will report to the VP of Digital Solutions and will assist in executing the strategy set by Corporate for both Customer, Operations, Finance, and Employees.
Internal and external contact relationships This person should have strong relationships in the industry and be passionate about evolving AIML trends to ensure that we are leveraging the technologies that will benefit us most.
Budget accountability, impact on asset management, and organization revenue This individual will be accountable that all projects worked within their area be on-budget.
Minimum Qualifications
MINIMUM QUALIFICATIONS
Bachelors degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
Deep expertise in machine learning frameworks and cloud-based ML platforms.
Proven ability to execute AI/ML strategies and implement solutions at scale while aligning with broader corporate AI/ML goals.
Strong experience in leading cross-functional teams and executing large-scale AI/ML projects.
Experience in ML operations (MLOps), including model registries, feature stores, monitoring, and retraining workflows.
Exceptional communication skills, with the ability to translate complex technical concepts into actionable business strategies.
Preferred Qualifications
PREFERRED QUALIFICATIONS
Masters degree or PhD in Computer Science, Data Science, Artificial Intelligence, or related field
10+ years of experience in AI/ML development, with a strong track record in ML platform architecture, model deployment, and lifecycle management.
Proficiency in programming languages such as Python, Java, or Scala.
Strong knowledge of energy systems, power grid analytics, and smart grid technologies is a plus.
Benefits
Benefits
Annual salary will vary based on a candidates skills, qualifications, experience, and other factors: $172,000.00/Yr. $236,500.00/Yr. plus an additional $50K in Long Term Incentive Plan annually
Annual Bonus for eligible positions: 30%
401(k) match and annual company contribution
Medical, dental and vision insurance
Life and disability insurance
Generous paid time off options, including vacation, sick time, floating and fixed holidays, maternity leave and bonding/primary caregiver leave or parental leave
Employee Assistance Program and resources for mental and emotional support
Wellbeing programs such as tuition reimbursement, adoption and surrogacy assistance and fitness reimbursement
Referral bonus program
And much more
Note: Exelon-sponsored compensation and benefit programs may vary or not apply based on length of service, job grade, job classification or represented status. Eligibility will be determined by the written plan or program documents.
Exelon
Senior (5+ years of experience)
Tagged as: Classification , Industry , Machine Learning , Natural Language Processing , NLP , United States
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