Lead Forward Deployed Engineering - Data Science & Integration
Salesforce2 months ago
Base Salary
$173k - $260k/yr
Responsibilities
- Lead forward-deployed technical delivery for defense, intelligence, aerospace, and allied government customers.
- Design, build, and deploy data science, AI/ML, integration, workflow automation, and analytics solutions.
- Architect API-led integrations across REST, SOAP, and event-driven patterns using MuleSoft Anypoint Platform or equivalent tools.
- Design workflow automation and process orchestration solutions using Regrello or comparable platforms.
- Build data models, ETL/ELT pipelines, feature engineering workflows, predictive models, and LLM-augmented applications.
- Partner with customer IT and security teams to support Authority to Operate and production go-lives in DoD IL5/IL6 environments.
- Translate mission priorities into technical roadmaps and present recommendations to senior stakeholders.
- Collaborate with internal product and engineering teams to create reusable integration patterns, templates, and data science capabilities.
- Mentor junior Forward Deployed Engineers and share field lessons with the broader engineering organization.
Requirements
- At least 8 years of hands-on experience delivering high-quality, scalable production solutions, ideally in customer-facing or field-deployed settings.
- Strong background in Computer Science, Data Science, or a related engineering discipline.
- Expert proficiency in one or more programming languages, including Python, Java, or SQL.
- Extensive experience building and deploying AI/ML solutions, including model development, MLOps pipelines, LLM integration, prompt engineering, and agentic frameworks.
- Expertise with enterprise integration and API-led connectivity platforms such as MuleSoft Anypoint Platform, Dell Boomi, Apigee, or Azure API Management.
- Expertise with workflow orchestration and process automation platforms such as Regrello, Temporal, Prefect, or Apache Airflow.
- Deep data modeling, processing, and analytics experience with platforms such as Snowflake, Databricks, BigQuery, or Redshift.
- Experience with event-driven architectures, messaging systems, and streaming data pipelines is preferred.
- Experience with LLM-augmented solutions in regulated or classified industries is preferred.
- Experience with CI/CD pipelines, Docker, Kubernetes, and regulated-environment DevSecOps practices is preferred.
- Relevant MuleSoft, Databricks, AWS, GCP, Azure, or data science certifications are preferred.
- Prior forward-deployed, field engineering, embedded technical advisor, defense, aerospace, military logistics, DoD, Intelligence Community, or federal agency experience is preferred.
- Must be a U.S. citizen living on U.S. soil without dual citizenship.
- Must be eligible for and willing to obtain a U.S. government security clearance and complete the required background investigation.
- Must be able to travel 50–75% of the time to customer sites, including classified facilities.
Benefits
- Salesforce offers time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
- The role requires 50–75% travel to customer sites and may involve work in classified facilities.
- The position requires U.S. citizenship without dual citizenship and successful completion of government background and clearance requirements.
Tech Stack
Amazon RedshiftApache AirflowApache KafkaAWSAzureDatabricksDockerGoogle BigQueryGoogle Cloud PlatformJavaKubernetesPythonRabbitMQSnowflakeSOAPSQL
Categories
Forward Deployed
About Salesforce
Salesforce builds cloud-based customer relationship management software and a broader Customer 360 platform for sales, service, marketing, commerce, and analytics, sold by subscription to businesses and public-sector organizations. Founded in 1999 and headquartered in San Francisco, it trades on the NYSE under the symbol CRM. Its portfolio includes Sales Cloud, Service Cloud, Marketing Cloud, MuleSoft integration, Tableau analytics, and Slack for collaboration, with extensive developer tools and APIs.