Lead Forward Deployed Engineering - Data Science & Integration

Salesforce
Washington DC
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 8+ yearsSkills: ["Problem-solving","Communication","Presentation","Mentorship","Get-things-done"]

Serve as a senior forward-deployed technical lead for mission-critical work supporting DoD, the Intelligence Community, and aerospace partners. Build and deploy end-to-end data science pipelines, predictive ML systems, and LLM-augmented workflows, while also designing API-led integrations and workflow orchestration for secure on-site environments. Lead technical engagements from concept through deployment, mentor junior FDEs, and help accelerate Authority to Operate and production go-lives.

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FursaFursa
Salesforce
Salesforce
2 days ago

Lead Forward Deployed Engineering - Data Science & Integration

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Serve as a senior forward-deployed technical lead for mission-critical work supporting DoD, the Intelligence Community, and aerospace partners. Build and deploy end-to-end data science pipelines, predictive ML systems, and LLM-augmented workflows, while also designing API-led integrations and workflow orchestration for secure on-site environments. Lead technical engagements from concept through deployment, mentor junior FDEs, and help accelerate Authority to Operate and production go-lives.
Location: Washington DC
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Deploy data science and integration solutions on-site, including API-led connectivity ecosystems, orchestrated workflows, and advanced ML pipelines.
  • •Design and implement scalable production ML/analytics systems, predictive models, intelligent automation pipelines, and LLM-augmented workflows.
  • •Architect and deliver enterprise integration solutions using iPaaS/API-led patterns (including MuleSoft) across REST, SOAP, and event-driven integration in regulated environments.
  • •Model and automate complex multi-stakeholder workflows using orchestration platforms (including Regrello) and drive end-to-end data lifecycle implementation (modeling through ETL/ELT).
  • •Lead customer engagements, translate mission priorities into roadmaps, mentor junior FDEs, and assist with ATO and production go-lives.
Travel: Extensive travel

Key Requirements

  • •8+ years delivering hands-on, end-to-end production solutions in customer-facing or field-deployed settings.
  • •Expert proficiency in one or more programming languages, such as Python, Java, or SQL.
  • •Extensive hands-on experience building and deploying AI/ML solutions, including MLOps pipelines and LLM integration (e.g., LangChain, LlamaIndex).
  • •Demonstrated expertise with enterprise integration and API-led connectivity platforms (e.g., MuleSoft, Dell Boomi, Apigee, Azure API Management, AWS API Gateway).
  • •Demonstrated expertise with workflow orchestration/process automation (e.g., Regrello, Temporal, Prefect, Apache Airflow) and the ability to lead technical delivery end-to-end.
Experience:8+ years
Skills:Problem-solvingCommunicationPresentationMentorshipGet-things-done
Certifications:MuleSoft Certified DeveloperMuleSoft Certified ArchitectDatabricks Certified AssociateDatabricks Certified ProfessionalAWS Data or ML Engineer certificationGCP/Azure Data or ML Engineer certificationData Science and Analysis certification
Tech Stack:PythonJavaSQLMuleSoft Anypoint PlatformDataWeaveRuntime FabricRegrelloLangChainLlamaIndexSnowflakeDatabricksBigQueryRedshiftKafkaRabbitMQDockerKubernetesAWSGCPAzure

Eligibility

Nationality:US National
Security Clearance:U.S. Security ClearanceModerate Public Trust

Company Brief

Salesforce
Provides a leading cloud-based customer relationship management (CRM) platform with sales, service, marketing, analytics, and integration tools that empower businesses to manage customer relationships and digital transformation at scale.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1999
Glassdoor
Glassdoor: 4.1
WebsiteLinkedInGlassdoor