Salesforce

Lead AI Engineer, Data Solutions

Salesforce$172K — $260K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 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

Responsibilities

  • Design feedback loops for agent and ML system improvements
  • Track outcomes and evaluate agent performance
  • Build pipelines for collecting and structuring agent data
  • Drive continuous improvement via prompting and model selection
  • Build and deploy ML models, including classification and recommendations
  • Integrate models and agents into business-critical workflows
  • Ensure data quality and reliability within model pipelines

Benefits

  • Comprehensive benefits supporting work-life balance
  • Resources to help you be your best
  • Strong emphasis on personal growth and career development
  • Opportunities to work on innovative AI and ML systems
  • Empowerment through advanced technology and platforms like Agentforce
Full Job Description
To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

Job Category
Software Engineering

Job Details

We are looking for a Lead AI Engineer to build next-generation AI and ML systems at Salesforce. This role focuses on developing intelligent decisioning systems and building an agent flywheel-a system of feedback loops that continuously evaluate, optimize, and improve agent performance over time.

This is an applied AI role with strong data and systems ownership. You will build models and agents and the data pipelines and evaluation loops that enable continuous learning in production.

What You'll Do
Build the Agent Flywheel
  • 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
Develop ML & Agent Systems
  • 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
Own Data & Model Pipelines
  • 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
Evaluation & Experimentation
  • 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
Systems & API Development
  • Build scalable Python services and APIs powering agent workflows
  • Collaborate with platform teams while owning application-level systems
  • Ensure reliability, observability, and performance
Qualifications
Core Requirements
  • 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
Agent & LLM Experience
  • 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
Data & Systems Expertise
  • Experience building data pipelines supporting ML systems
  • Familiarity with tools like Spark, Airflow/Dagster, Snowflake/BigQuery
  • Understanding of data quality, lineage, and reproducibility
Modeling & Experimentation
  • 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
Preferred Qualifications
  • Experience with agent improvement systems (scoring, optimization loops)
  • Exposure to evaluation tools (e.g., LangSmith, Braintrust, or similar)
  • Experience with large-scale experimentation platforms
  • Familiarity with enterprise SaaS or CRM
What Success Looks Like
  • 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


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.

About Salesforce

ExactTarget is a provider of on-demand email marketing software solutions. Their suite of on-demand one-to-one marketing applications enables clients to send business-critical and event-triggered communications to increase sales, optimize marketing investments, and strengthen customer relationships. They offer four editions of their on-demand software application along with integrated solutions such as ExactTarget for AppExchange and ExactTarget for [Microsoft](/organization/Microsoft) Dynamics CRM.

Salesforce Careers

Joining Salesforce means becoming part of a dynamic, global team of professionals who are deeply committed to driving customer success and innovation. As the world's leading Customer Relationship Management (CRM) platform, Salesforce offers unparalleled job opportunities in technology and consulting, making it an ideal place for ambitious individuals looking to make a significant impact.

Work You'll Do

At Salesforce, every position is a chance to leverage your skills and creativity to transform businesses and industries. Our diverse team of experts collaborates to deliver cutting-edge solutions that foster growth and enhance leadership capabilities. By joining our team, you'll be at the forefront of digital innovation, using Salesforce's powerful platform to help clients navigate their transformation journeys.

Innovate and Lead

Salesforce is not just a company; it's a community where you can lead with your ideas and see them come to life. Our culture of innovation encourages you to challenge the status quo and push the boundaries of what's possible. With Salesforce, you'll work alongside leaders in technology and business who are committed to your growth and professional development.

Career Growth and Opportunities

Whether you're looking for an internship, a full-time position, or leadership roles, Salesforce provides a wealth of opportunities to advance your career. Our commitment to professional growth is reflected in our robust training programs, including leadership development and diversity training, designed to help you excel at every stage of your career.

Be Part of a Great Team

Salesforce prides itself on a culture that values diversity, teamwork, and open communication. We believe that our strength lies in our people, and we're committed to creating an environment where everyone can thrive. Joining our team means being part of a supportive community that encourages networking and collaboration.

Benefits and Culture

At Salesforce, we understand that job satisfaction extends beyond the office. That's why we offer competitive benefits to support the health, well-being, and financial security of our employees and their families. From health insurance and retirement plans to wellness programs and flexible working arrangements, we provide the benefits that contribute to a better work-life balance.

Explore Job Opportunities

Ready to take the next step in your career? Explore the wide range of employment opportunities at Salesforce. From technical roles to customer engagement positions, we are continuously hiring talented individuals who are passionate about making a difference.

Stay Connected

Keep up to date with the latest at Salesforce by following our careers blog. Gain insights from the people who work here and learn how you can bring your career to the next level with Salesforce.

Apply Now

Are you ready to join a company that's leading the way in CRM technology? Search open positions that match your skills and interests on our careers page. Tailor your resume, prepare for your interview, and take the first step towards a rewarding career at Salesforce.

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Join Salesforce today and be part of a company that's shaping the future of technology, fostering a culture of innovation, and building a more equitable world.
Learn more about Salesforce
Size
73,541 employees
Market Cap
$130.4 billion
Industry
Net Income
$4 billion
Founded
2000
5 Year Trend
+25.7%
Revenue
$21.2 billion
NASDAQ

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