Senior AI Engineer - Salesforce & Applied Intelligence

ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You'll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won't just contribute. You'll make things happen-fast.

We're transforming how Go-To-Market (GTM) teams - across

Sales, Marketing, and Customer Experience

- leverage AI to drive smarter, faster, and more predictive decisions. Our mission is to build intelligent systems that amplify human productivity, automate repetitive processes, and deliver actionable insights directly within Salesforce.

As a

Senior AI Engineer , you'll design, develop, and deploy

enterprise-grade AI solutions

that integrate deeply with

Salesforce

and GTM ecosystems. You'll own the full AI development lifecycle - from model design to deployment - ensuring our solutions are scalable, secure, and seamlessly embedded into Salesforce workflows.

This is a hands-on engineering role where you'll work closely with product, data, and GTM operations teams to bring cutting-edge AI capabilities - predictive analytics, NLP, and generative automation - into core business processes. What You'll Do

Design, develop, and deploy

scalable AI and ML solutions that integrate directly with Salesforce and other enterprise applications. Build and operationalize

custom AI models

for predictive analytics, NLP, and generative AI, embedding them into

Salesforce workflows ,

Einstein bots , and

Apex services . Engineer robust

data pipelines

and

ETL processes

to prepare structured and unstructured data for AI model training and inference. Implement

end-to-end MLOps pipelines

using tools such as

Kubeflow ,

MLFlow ,

AutoML , or

Vertex AI

for continuous training, testing, and deployment. Extend Salesforce functionality through

Apex ,

Lightning Web Components (LWC) , and

Salesforce APIs , integrating AI services via RESTful and event-driven architectures. Develop

proof-of-concept prototypes

to validate new AI models and Salesforce integrations, rapidly iterating from idea to minimum viable product (MVP). Leverage

Salesforce Einstein AI

and

AI Cloud

capabilities to enable predictive scoring, intelligent automation, and conversational interfaces. Integrate

external AI services and LLMs

(e.g., OpenAI, Anthropic, or Hugging Face) into Salesforce environments for custom generative experiences. Partner with Salesforce administrators, data engineers, and DevOps teams to ensure AI applications are performant, compliant, and secure. Optimize runtime performance and cost efficiency of deployed AI models using

cloud-native infrastructure

and containerization (Docker, Kubernetes). Conduct code reviews, establish best practices for AI/ML engineering, and mentor junior developers in applied AI and Salesforce integration. Other Qualifications Strong understanding of

Salesforce architecture , including data schema, security model, and API integrations. Hands-on experience with

Salesforce development

(Apex, LWC, Flow, SOQL/SOSL) and middleware platforms (MuleSoft, Boomi). Advanced proficiency in

Python ,

Java , or

Node.js , including experience with AI/ML frameworks such as

TensorFlow ,

PyTorch , or

scikit-learn . Knowledge of

LLMs ,

NLP , and

prompt engineering

for conversational AI and intelligent automation. Deep experience with

data engineering -ETL, data lakes, feature stores, and pipeline orchestration tools. Proficiency in building

microservices

and

API-driven architectures

for integrating AI workloads into enterprise applications. Understanding of

AIOps ,

MLOps , and

DataOps

best practices, including monitoring, CI/CD, and version control for AI models. Experience deploying AI workloads on

cloud AI platforms

such as AWS Sagemaker, Azure ML, or GCP Vertex AI. Familiarity with

Salesforce Einstein AI ,

AI Cloud ,

Data Cloud , and

CRM Analytics

for native AI enablement. What You Bring 6-10 years of hands-on experience in

AI engineering ,

data science , or

Salesforce software development . Bachelor's or Master's degree in

Computer Science ,

Software Engineering ,

Data Science , or a related quantitative field. Proven experience integrating AI models into

Salesforce

or similar enterprise platforms. Strong understanding of

cloud architecture ,

containerization , and

DevOps

principles Excellent debugging, performance tuning, and problem-solving skills. Ability to collaborate effectively in a global, cross-functional engineering environment. Passion for exploring new

AI frameworks ,

LLM architectures , and

Salesforce AI innovations . Technical Skills

Languages & Frameworks:

Python, Java, Apex, JavaScript, TensorFlow, PyTorch, LangChain, React, Node.js Salesforce:

Apex, LWC, Flows, SOQL/SOSL, Einstein AI, AI Cloud, Data Cloud, CRM Analytics AI/ML:

LLMs, Transformers, Generative AI, Predictive Modeling, Semantic Search, Vector Databases MLOps & Infrastructure:

MLFlow, Kubeflow, Docker, Kubernetes, Terraform, GitHub Actions Data & Integration:

SQL, NoSQL, Snowflake, Databricks, Airflow, MuleSoft, Boomi, REST APIs Cloud Platforms:

AWS (SageMaker, Lambda), Azure (ML Studio), GCP (Vertex AI, BigQuery)

#LI-VC1

#LI-Hybrid

Actual compensation offered will be based on factors such as the candidate's work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.

$164,500-$258,500 USD

About us:

ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller.

ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here.

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.