AI ML Software Engineering PMTS/Architect

We are seeking a highly skilled and experienced Data Scientist at the Principal/Architect level for AIOps and Scale Products to join our innovative team at Salesforce. This role involves leading the design, development, and deployment of advanced analytical solutions within an AIOps framework, focusing on predictive analytics, anomaly detection, and root cause analysis. The ideal candidate will develop and deploy machine learning models to solve complex IT operations problems, collaborate with cross-functional teams, and provide technical leadership.

Must Have

• Lead design and implementation of scalable data science architectures for AIOps.
• Develop and deploy advanced ML models for IT operations.
• Collaborate with cross-functional teams on AIOps solutions.
• Provide technical leadership and mentorship.
• Ensure integrity and accuracy of operational data.
• 10+ years in data science, 3+ years in architect/lead role.
• Proficiency in OOP, Python, SQL, large-scale data processing.
• Deep understanding of statistical modeling, ML algorithms, experimental design.
• Expertise in time-series analysis, anomaly detection, predictive modeling.
• Proven experience in end-to-end data science solution design.

Good to Have

• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices in an AIOps context.
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for processing operational logs, metrics, and traces.
• Experience with real-time data streaming and processing from various application profiling, IT monitoring and observability tools.
• Good understanding of Systems Engineering, OS, JVM, DB and application performance monitoring concepts.

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Job Requisition: Applied AI Data Scientist, AIOps and Scale Products, PMTS/Architect

Position Overview

We are seeking a highly skilled and experienced Data Scientist for AIOps and Scale Products at the Principal/Architect level to join our innovative team, which focuses on building an AIOps platform for all Salesforce services. This role is crucial for designing, developing, and deploying advanced analytical solutions that drive business strategy and decision-making within an AIOps framework. The ideal candidate will possess a deep understanding of statistical modeling, machine learning, and data engineering principles, with a proven track record of leading complex data science projects from inception to production, specifically within operational intelligence and automation.

Responsibilities

• Lead the design and implementation of scalable and robust data science architectures for AIOps, focusing on predictive analytics, anomaly detection, and root cause analysis
• Develop and deploy advanced machine learning models and algorithms to solve complex business problems related to IT operations, such as incident prediction, performance optimization, and automation
• Collaborate with cross-functional teams, including engineers, product managers, and business stakeholders, to define project requirements and deliver impactful AIOps solutions
• Provide technical leadership and mentorship to junior data scientists and engineers, fostering expertise in AIOps methodologies
• Evaluate and recommend new technologies and methodologies to enhance our AIOps capabilities and operational intelligence
• Ensure the integrity, accuracy, and security of operational data used in analytical models for AIOps
• Communicate complex analytical findings and insights to both technical and non-technical audiences, particularly in the context of operations and business impact.

Qualifications

Required

• 10+ years of experience in data science, with at least 3 years in an architect or lead role
• Strong proficiency in Object-oriented programming language, Python, SQL and experience with large-scale data processing technologies
• Deep understanding of statistical modeling, machine learning algorithms, and experimental design, with a focus on time-series analysis, anomaly detection, and predictive modeling for operational data
• Proven experience in designing and implementing end-to-end data science solutions
• Excellent communication and presentation skills

Preferred

• Experience with cloud platforms (e.g., AWS, GCP, Azure) and MLOps practices in an AIOps context
• Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) for processing operational logs, metrics, and traces
• Experience with real-time data streaming and processing from various application profiling, IT monitoring and observability tools
• Good understanding of Systems Engineering, OS, JVM, DB and application performance monitoring concepts

Unleash Your Potential

When you join Salesforce, you’ll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we’ll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what’s possible — for yourself, for AI, and the world.

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