AI Engineering Manager - Hybrid

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Job Summary:

The AI Engineering Manager is pivotal in driving the design, development, and deployment of advanced AI solutions that optimize enterprise business processes. This role involves leading and inspiring the AI Engineering Team, managing the end-to-end lifecycle of AI system development, and ensuring seamless integration of AI technologies into our products and workflows. The ideal candidate will combine exceptional leadership and influence with deep expertise in Generative AI technologies and emerging trends. In a rapidly evolving technological landscape, this position is crucial for NRG to foster innovation and sustain its competitive advantage.

Responsibilities:

• Design and implement AI solutions leveraging large language models (LLMs) to address business challenges and oversee the fine-tuning and optimization of LLMs.
• Lead the development and deployment of intelligent chatbots or AI agents to enhance customer and employee interactions.
• Ensure AI agents are scalable, reliable, and capable of handling complex queries with a humanized approach.
• Lead, mentor, and empower the AI Engineering team to deliver high-quality AI solutions. Foster a collaborative and innovative work environment.
• Establish and maintain best practices for AI development, testing, deployment, and monitoring.
• Collaborate with stakeholders to analyze business requirements, operation procedures, and challenges.
• Develop and execute strategies for AI technology implementation and integration with enterprise systems, ensuring they align with business objectives.
• Monitor project progress, apply in-depth technical expertise, and ensure continuous improvement and high-quality delivery of AI projects/ products.
• Stay updated with the latest developments in Generative AI technologies and apply this knowledge to drive innovation within the team and organization.
• Define project goals, prioritize tasks, allocate resources, and manage timelines to deliver projects within scope, budget, and deadlines.
• Advocate for ethical AI practices and ensure compliance with legal, regulatory, and organizational standards in all AI initiatives.
• Drive the adoption of scalable AI architectures and frameworks, ensuring solutions are robust, secure, and future-ready.

Working Conditions:

• Open office environment, Hybrid work schedule.

Minimum Requirements:

• Bachelor's or Master's degree in computer science, electrical engineering or any related technical field with 10-15 years of relevant work experience.
• Extensive experience in designing and deploying conversational AI systems, chatbots, or AI-powered agents.
• Demonstrated ability to lead cross-functional teams and manage AI-driven projects from concept to deployment.
• Strong knowledge of AI-driven automation tools and techniques, including workflow design and implementation.
• Proven track record in building, fine-tuning, and deploying large language models such as Gemini, OpenAI models (e.g., GPT series), BERT, T5, or similar transformer-based architectures.
• Strong understanding of cloud technologies (e.g., AWS, GCP, Azure).
• Extensive experience in building and deploying scalable digital platforms with a strong focus on seamless user experiences.
• Proficiency in evaluating AI models using metrics such as accuracy, precision, recall, F1 score, and custom KPIs.

• Strong knowledge in Generative AI technologies and trends.
• Proven ability to design, refine, and optimize prompts for large language models (e.g., OpenAI, Gemini) by leveraging techniques to reduce hallucinations, enhance relevance, tailor responses to business needs, and fine-tune models through iterative testing and feedback.
• Familiarity with regulations and ethical considerations in AI deployment, such as data privacy and bias mitigation.
• Strong grasp of software engineering standards, including CI/CD, version control, and agile development methodologies.

Preferred Qualifications:

• Proven track record of managing and leading AI projects from conception to deployment.
• Experience in leading and supervising a team of engineers/developers.

Additional Knowledge, Skills and Abilities:

• Proficiency in Python, Java, C#, C/C++, React or other relevant programming languages.
• Strong leadership and motivational skills to guide and inspire a team.
• Excellent communication skills to convey complex technical concepts to both technical and non-technical stakeholders.
• Strong analytical and problem-solving abilities.
• Ability to work collaboratively in cross-functional teams.

NRG Energy is committed to a drug and alcohol-free workplace. To the extent permitted by law and any applicable collective bargaining agreement, employees are subject to periodic random drug testing, and post-accident and reasonable suspicion drug and alcohol testing. EOE AA M/F/Vet/Disability. Level, Title and/or Salary may be adjusted based on the applicant's experience or skills.

Official description on file with Talent.