LTS
Lead Forward Deployed Engineer (FDE)
United States - Remote
Sponsorship not specified$256k-$350kDetected 13 days ago
Distributed SystemsCode ReviewAWSGCPAzureCloud PlatformsDockerCI/CDDevOpsKafkaMachine LearningSparkAirflowData EngineeringData ScienceLLMsRAGAgentic AILLMOpsMLOpsComplianceAgileStakeholder ManagementStrategic Communications
About the role
- This highly customer-facing role combines AI engineering, software architecture, solution delivery, and technical program leadership while remaining hands-on throughout the development lifecycle.
- Pay Range $256,000 - $350,000 USD LTS shares salary ranges to promote transparency.
Responsibilities
- Serve as the primary technical advisor for customer engagements, building trusted relationships with executive leadership, technical stakeholders, and business owners.
- Lead technical discovery sessions, solution workshops, and architecture discussions to define customer objectives and implementation strategies.
- Support business development activities through technical presentations, demonstrations, proof-of-concepts (POCs), proposals, and solution briefings.
- Lead cross-functional engineering teams responsible for delivering enterprise AI and software solutions.
- Provide technical direction throughout the full software development lifecycle, from architecture through deployment and operational support.
- Lead architecture reviews, design discussions, sprint planning, technical decision-making, and engineering governance.
- Remove technical blockers, manage delivery risks, and ensure successful execution across multiple projects or workstreams.
- Guide the design of scalable data pipelines, knowledge retrieval systems, APIs, microservices, and enterprise integrations.
- Drive implementation of CI/CD pipelines, automated testing, monitoring, logging, observability, and operational excellence.
- Develop reusable frameworks, technical accelerators, documentation, and engineering standards that improve delivery across programs.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline (or equivalent experience).
- Demonstrated experience leading engineering teams delivering enterprise software solutions.
- Experience architecting distributed systems, APIs, microservices, cloud-native applications, or enterprise integrations.
- Experience leading technical workstreams and translating business objectives into scalable technology solutions.
- Experience implementing CI/CD pipelines, DevOps practices, automated testing, and production monitoring.
- Ability to travel as required by project needs.
- U.S. Citizen or Permanent Resident required
Nice to have
- Experience architecting Generative AI applications utilizing LLMs, Retrieval-Augmented Generation (RAG), agentic AI, intelligent automation, or multi-agent systems.
- Experience establishing AI governance, evaluation frameworks, prompt engineering standards, model monitoring, and responsible AI practices.
- Experience implementing MLOps or LLMOps capabilities, including model deployment, monitoring, lifecycle management, and performance evaluation.
- Experience with modern data engineering platforms including Spark, Airflow, Kafka, streaming technologies, or enterprise data architectures.
- Experience with containerization and orchestration technologies such as Docker and Kubernetes.
- Experience integrating enterprise systems using APIs, event-driven architectures, and messaging platforms.
- Familiarity with cybersecurity, privacy, governance, and regulatory compliance requirements.
- Experience contributing to business development, technical strategy, solution architecture, and organizational engineering leadership.
Compensation
- $256,000 - $350,000 USD
- LTS shares salary ranges to promote transparency. Compensation ranges are provided for informational purposes, and final compensation may vary based on experience, skills, location, and role requirements.
Benefits
- Lead the design and implementation of solutions leveraging large language models (LLMs), retrieval-augmented generation (RAG), agentic AI, machine learning, and other emerging AI technologies.
- Establish delivery governance, resource planning, risk management, stakeholder communications, and project health reporting.
- LTS is committed to offering eligible employees comprehensive benefits that will provide them with options intended to meet their needs and the needs of their family.
Company info
- Advise customers on AI adoption strategies, solution architecture, governance, and operational readiness.
Visa & Work Authorization
- Citizen or Permanent Resident required
This listing is sourced directly from LTS's careers page and normalized into a canonical job model.