Principle Software Engineer

Job Summary: We are seeking a highly skilled and experienced Principal AI/ML and Gen AI Engineer to join our dynamic team at CCB COSMIC (CCB Operational Systems for Machine Intelligence and Cognition). The ideal candidate will possess a strong foundation in AWS, AI/ML, Databricks, and the Gen AI ecosystem. This role is primarily focused on scaling infrastructure and platforms from a serving and fine‑tuning standpoint. The candidate should also have extensive experience in LLM Ops and the productionalization of Gen AI use cases. Key Responsibilities: Design, implement, and scale AI/ML infrastructure and platforms on AWS to support serving and fine‑tuning of models. Collaborate with cross‑functional teams to ensure seamless integration and deployment of AI/ML solutions. Develop and optimize machine learning models and algorithms to meet business objectives. Stay updated with the latest advancements in AI/ML and Gen AI technologies and incorporate them into the organization's strategy. Leverage Databricks for data processing, model training, and deployment. Utilize Gen AI tools and frameworks to enhance model performance and capabilities. Implement best practices for LLM Ops to ensure efficient model lifecycle management. Lead the productionalization of Gen AI use cases, ensuring robust and scalable solutions. Work closely with data scientists, engineers, and product teams to deliver AI‑driven solutions. Mentor and guide junior team members, fostering a culture of innovation and excellence. Monitor the performance of AI/ML models and platforms, identifying areas for improvement. Implement optimization techniques to enhance model accuracy, efficiency, and scalability. Required qualifications, capabilities and skills: Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Minimum 8+ years of experience in AI/ML engineering, with a focus on AWS, Databricks, and Gen AI. Strong understanding of AI/ML algorithms, model serving, and fine‑tuning techniques. Proven experience in LLM Ops and the productionalization of Gen AI use cases. Excellent problem‑solving skills and the ability to work in a fast‑paced, collaborative environment. Strong communication and leadership skills, with the ability to influence and drive change. Preferred qualifications, capabilities and skills: Experience with other cloud platforms and AI/ML tools. Familiarity with data engineering and data science workflows. Knowledge of regulatory and compliance requirements related to AI/ML solutions. We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit FAQs for more information about requesting an accommodation. Equal Opportunity Employer/Disability/Veterans #J-18808-Ljbffr Aumni