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Lead Forward Deployed Engineer (FDE)

4 weeks ago
United States
Full-time
Lead
AI Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Azure CI/CD Cybersecurity Docker GCP Kafka Kubernetes LLM Machine Learning Microservices MLOps
Apply Now
LTS

LTS

Internet Software & Services
251-1K
Founded 2005
View All Jobs 5

Description

  • Serve as the primary technical advisor for customer engagements and build trusted relationships with executive and technical stakeholders.
  • Lead technical discovery sessions, solution workshops, and architecture discussions to define objectives and implementation strategies.
  • Translate business priorities into scalable AI-enabled software solutions and technical roadmaps.
  • Advise customers on AI adoption, solution architecture, governance, and operational readiness.
  • Lead cross-functional engineering teams delivering enterprise AI and software solutions.
  • Provide technical direction across the full software development lifecycle from architecture through deployment and operational support.
  • Guide teams in designing secure, scalable, maintainable, and high-performing software systems.
  • Lead architecture reviews, design discussions, sprint planning, technical decision-making, and engineering governance.
  • Establish engineering standards, development practices, quality metrics, and delivery processes.
  • Architect and oversee AI-enabled applications, intelligent automation solutions, and modern software platforms.
  • Lead implementation of LLM, RAG, agentic AI, machine learning, and related AI solutions.
  • Drive CI/CD, automated testing, monitoring, logging, observability, and operational excellence.
  • Mentor engineers through architecture guidance, code reviews, technical coaching, and career development.
  • Coordinate delivery governance, resource planning, risk management, stakeholder communications, and project health reporting.
  • Contribute to engineering strategy, AI capability development, and technical innovation.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline, or equivalent experience.
  • 7+ years of experience in software engineering, AI engineering, machine learning, data engineering, solution architecture, or related technical roles.
  • Demonstrated experience leading engineering teams delivering enterprise software solutions.
  • Experience designing, building, and deploying AI/ML or Generative AI solutions in production environments.
  • Experience architecting distributed systems, APIs, microservices, cloud-native applications, or enterprise integrations.
  • Strong experience with cloud platforms such as AWS, Microsoft Azure, Google Cloud Platform, or hybrid cloud environments.
  • Experience leading technical workstreams and translating business objectives into scalable technology solutions.
  • Experience implementing CI/CD pipelines, DevOps practices, automated testing, and production monitoring.
  • Excellent communication, leadership, consulting, and stakeholder management skills.
  • Proven ability to lead engineering teams in agile environments while remaining hands-on technically.
  • Ability to travel as required by project needs.
  • 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 leading distributed engineering teams across hybrid or global delivery models.
  • Experience supporting federal, healthcare, defense, or other regulated industry customers.
  • Experience contributing to business development, technical strategy, solution architecture, and organizational engineering leadership.

Benefits

  • Remote work within the U.S.
  • Opportunity to support high-visibility federal missions in IT and healthcare.
  • A culture that values innovation, growth, collaboration, and quality.
  • Access to cutting-edge tools and technologies.
  • Comprehensive benefits for you and your family.
  • A career path that rewards ambition and performance.

Interested in this position?

Apply directly on the company website

Apply Now

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