Principal Software Engineer, AI

Principal Software Engineer, AI

Baltimore, Maryland; Houston, Texas; Chicago, Illinois; Kennett Square, Pennsylvania

Information Technology

Hybrid

138386

E04- E04 Exempt Ladder

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Job Description

Who We Are

As the largest private-sector power producer in the world and the nation's largest producer of clean and reliable energy, Constellation is focused on our purpose: lighting the way to a brilliant tomorrow for all. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute. Now integrated with Calpine, our portfolio includes 55 gigawatts of capacity from nuclear, natural gas, geothermal, hydro, wind and solar facilities, with the generating capacity to power the equivalent of 27 million homes.

Our culture and employee experience make it clear: We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things. Join us in meeting the country's energy needs today and tomorrow.

Total Rewards

Constellation offers an extensive selection of benefits and rewards to help our employees thrive professionally and personally. We provide competitive compensation and a wide-range of benefits that support both employees and their families, helping them prepare for the future.

In addition to highly competitive salaries, eligible employees are offered a bonus program, 401(k) with company match, employee stock purchase program; comprehensive medical, dental and vision benefits, including robust wellbeing programs; disability and life insurance benefits; paid time off for vacation, holidays, and sick days; and much more.

Expected salary range of $159,300 to $177,000, varies based on experience, along with comprehensive benefits package that includes bonus and 401(k).

Primary Purpose of Position

A Principal Software Engineer, AI is a hands-on subject matter expert who is responsible for the overall software design of many components within systems and can lead the technical implementation of multiple initiatives. This role also will cover operational application production support of multiple systems across portfolios. The ideal candidate has experience working in a high paced environment and has strong knowledge of varying domains.

This Principal Software Engineer, AI has strong technology skills ( Python, Data Bricks, Data Analytics), as well as packaged software design and implementation experience. Through close collaboration with cross-functional teams, including enterprise architects, solution architects, engineering, and business leaders, this role will drive the adoption of AI/ML solutions that deliver measurable business value.

The ideal candidate brings a blend of deep technical expertise, strategic thinking, and a proactive, inquisitive mindset to continuously improve and future-proof the organization's technology landscape.

Primary Duties and Accountabilities

Provide strategic AI/ML guidance to IT and business teams, aligning implementation with organizational goals and advising leadership on technology roadmaps and long-term planning.

Manage the intake, evaluation, and lifecycle of AI initiatives, from ideation through deployment.

Research, prototype, and evaluate emerging AI/ML technologies and methodologies to assess business value and drive innovation.

Collaborate with application owners to integrate AI/ML solutions into enterprise systems and workflows.

Contribute to digital transformation initiatives by enabling data-driven decision-making and optimizing business processes.

Mentor IT personnel and foster a culture of continuous learning and cross-functional collaboration.

Design and develop solutions to acquire data needed for AI/ML solutions.

Design and develop AI/ML solutions to enable business capabilities.

Minimum Qualifications

Bachelor's degree in Information Systems, Computer Science, or Business Administration

10-years of experience delivering medium to large-scale software solutions, with 4-years focused on AI/ML

Experience working with and consulting stakeholders on understanding business needs, providing strategic direction and delivering impactful solutions

Expertise in designing and deploying AI/ML solutions using Microsoft technologies, Azure, and Databricks

Strong foundation in machine learning algorithms, statistical modeling, and data mining techniques

Proven experience with cloud-based AI/ML platforms such as Azure, AWS, or GCP, and hands-on use of MLOps tools including MLflow, Kubeflow, or SageMaker

Proficiency in one or more programming languages for data analysis (Python, R, Java, Julia, etc.)

Recognized subject matter expert in Generative AI, Machine Learning, or Data Science

Proven skill in data architecture, modeling, and solution implementation

Excellent interpersonal, presentation and communication skills, including verbal and written

Must be willing to travel 25%

Preferred Qualifications

Advanced degree (MS or MBA) in AI, Data, Software Engineering, or a related field.

Experience designing and delivering enterprise-scale LLM and generative AI applications.

Proven ability to influence organization-wide technical strategy and architecture decisions.

Experience with Responsible AI governance, risk management, and compliance practices.

Experience working in enterprise environments leveraging modern engineering practices (e.g., Agile, platform-centric delivery models).

Experience leading adoption of AI-assisted engineering tools and establishing effective team practices for their responsible use in enterprise software delivery.

• Bachelor's degree in Information Systems, Computer Science, or Business Administration with 10 years of software delivery experience, including 4 years in AI/ML.
• Expertise in AI/ML solution design and deployment using Microsoft technologies, Azure, Databricks, and cloud AI/ML platforms (Azure, AWS, GCP).
• Proficiency in programming languages for data analysis (Python, R, Java, Julia) and recognized subject matter expertise in Generative AI, Machine Learning, or Data Science.