Lead AI Engineer, Data Solutions

Lead AI Engineer

Salesforce is a leading AI CRM organization dedicated to driving innovation and delivering world‑class customer success. We are searching for a Lead AI Engineer to build next‑generation AI and ML systems, focusing on intelligent decisioning systems and the Agent Flywheel – a continuous feedback loop that evaluates and improves agent performance over time.

• Design feedback loops that enable agents and ML systems to improve from real‑world outcomes
• Track outcomes (engagement, conversion, quality) and evaluate agent performance
• Build pipelines that collect and structure agent traces into training and evaluation datasets
• Drive continuous improvement via prompting, policies, model selection, and fine‑tuning

• Build and deploy ML models (classification, ranking, forecasting, recommendation)
• Design AI agents that combine LLM reasoning, tool usage, and ML decisioning
• Implement reusable patterns for multi‑step reasoning, tool orchestration, and structured outputs
• Integrate models and agents into business‑critical workflows

• Design and build scalable data pipelines (batch and near real‑time) for training, evaluation, and inference
• Transform raw interaction data into features, labels, and evaluation datasets
• Enable continuous retraining and evaluation through tightly coupled data + model pipelines
• Ensure data quality, consistency, and reliability

• Build offline and online evaluation frameworks
• Develop evaluation datasets, golden traces, and regression‑style test sets
• Run A/B experiments and track key metrics (quality, revenue impact, latency, etc.)
• Use production signals to drive continuous optimization

• Build scalable Python services and APIs powering agent workflows
• Collaborate with platform teams while owning application‑level systems
• Ensure reliability, observability, and performance

• 6+ years in AI/ML engineering or applied data science
• Strong Python experience in production systems
• Proven experience building and deploying ML models
• Experience building data pipelines (ETL/ELT, batch or streaming)
• Experience with APIs and backend systems

• Experience with LLM‑powered systems (prompting, orchestration, evaluation)
• Familiarity with agent workflows and tool usage
• Experience with evaluation loops, agent traces, or iterative improvement systems preferred

• Experience building data pipelines supporting ML systems
• Familiarity with tools like Spark, Airflow/Dagster, Snowflake/Big Query
• Understanding of data quality, lineage, and reproducibility

• Strong understanding of supervised learning and evaluation methods
• Experience with A/B testing and experimentation
• Ability to design systems combining ML, LLMs, and business logic

• Experience with agent improvement systems (scoring, optimization loops)
• Exposure to evaluation tools (e.g., Lang Smith, Braintrust, or similar)
• Experience with large‑scale experimentation platforms
• Familiarity with enterprise SaaS or CRM

• Agents and ML models improve continuously via feedback loops
• Reliable data and evaluation pipelines power the agent flywheel
• Measurable impact on business metrics (conversion, revenue, efficiency)
• Fast, safe iteration enabled by strong evaluation systems

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via the Accommodations Request Form.

Salesforce is an equal‑opportunity employer and maintains a policy of non‑discrimination for all employees and applicants for employment. All decisions are based on merit, competence and qualifications without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint or other classifications protected by law. This policy applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination and related activities.

Compensation ranges from $172,500 to $260,100 annually, with potential additional incentive compensation, equity, and benefits. Selected cities may offer higher base ranges. Additional benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. For more details, visit

Salesforce is committed to equitable compensation practices and will consider qualified applicants with arrest and conviction records in accordance with the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring.