Forward Deployed Engineering Lead - Data Science & Integration

Salesforce is the #1 AI CRM, leading workforce transformation through innovation and technology. They are seeking a highly accomplished Forward Deployed Engineering Lead specializing in Data Science and Integration to deliver cutting-edge solutions for mission-critical work across various defense and intelligence sectors.

Responsibilities:

• Serve as the forward-deployed technical lead on high-profile customer engagements—designing, building, and deploying tailored data science and integration solutions for defense, intelligence, and aerospace missions on-site
• Architect and implement enterprise integration solutions—using platforms such as MuleSoft Anypoint Platform or equivalent iPaaS tooling—including API design, development, and management across REST, SOAP, and event-driven integration patterns within secure customer environments
• Design and deploy workflow automation solutions—leveraging platforms such as Regrello or equivalent orchestration tooling—to model complex operational processes, coordinate cross-functional teams, and surface data-driven insights at key mission decision points
• Lead integration of AI/ML models, custom data pipelines, and automation flows that enable predictive maintenance, personnel planning, and mission-critical logistics decisions
• Work with customer IT and security teams to accelerate Authority to Operate (ATO) and production go-lives per DoD IL5/IL6 and applicable regulatory frameworks
• Partner with internal product and engineering teams to co-develop integration patterns and data science capabilities informed by frontline customer feedback
• Enable customers to adopt modern data platforms and integration middleware for field operations, asset visibility, command center analytics, and secure operational workflows
• Mentor junior FDEs and share lessons learned with the broader engineering community to shape playbooks, integration templates, and reusable data science assets for government innovation
• Translate mission priorities into actionable data and integration roadmaps aligned with agency strategy, presenting findings and recommendations to senior stakeholders

Requirements:

• 8+ years of experience in a hands-on, end-to-end delivery role for 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-level proficiency in one or more programming languages (e.g., Python, Java, SQL)
• Extensive hands-on experience building and deploying AI/ML solutions, including model development, MLOps pipelines, LLM integration, prompt engineering, and agentic frameworks (e.g., LangChain, LlamaIndex)
• Demonstrated expertise in enterprise integration platforms and API-led connectivity design, with experience in tools such as MuleSoft Anypoint Platform, Dell Boomi, Apigee, Azure API Management, or equivalent; direct MuleSoft experience is a plus
• Demonstrated expertise in workflow orchestration and process automation platforms, with experience in tools such as Regrello, Temporal, Prefect, Apache Airflow, or equivalent; direct Regrello experience is a plus
• Deep expertise in data modeling, processing, and analytics with demonstrable proficiency in enterprise data platforms (e.g., Snowflake, Databricks, BigQuery, Redshift)
• A 'get-things-done' attitude with a proven ability to deliver fast and impactfully in ambiguous, customer-site environments
• Exceptional communication and presentation skills—able to articulate complex data science and integration concepts to both technical and non-technical mission stakeholders
• Proven ability to lead technical engagements, mentor junior FDEs, and own technical delivery end-to-end
• Ability to travel 50-75% of the time to customer sites, including classified facilities
• Must be a U.S. citizen (U.S. born or naturalized) living on U.S. soil who does not hold dual citizenship
• Eligible for and willing to obtain a U.S. Security Clearance
• Prior experience in a forward-deployed, field engineer, or embedded technical advisor role with direct customer engagement
• Experience supporting U.S. Department of Defense (DoD), Intelligence Community (IC), or Federal Civilian agencies
• Background in defense, aerospace, or military logistics operations
• Familiarity with IL5/IL6/CNSS #1253 requirements or deployment to classified environments
• Direct hands-on experience with MuleSoft Anypoint Platform, including advanced DataWeave and Runtime Fabric deployments
• Direct hands-on experience with Regrello for operational workflow orchestration in manufacturing, supply chain, or logistics domains
• Expert-level Python and/or Java proficiency in a professional data science or integration engineering setting
• Experience developing and deploying LLM-augmented solutions within highly regulated or classified industries
• Relevant platform certifications such as: MuleSoft Certified Developer / Architect, Databricks Certified Associate/Professional, AWS/GCP/Azure Data or ML Engineer certifications, Data Science and Analysis Certifications or relevant experience
• Experience with event-driven architectures, messaging systems (e.g., Kafka, RabbitMQ), and streaming data pipelines
• Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and DevSecOps practices in regulated environments