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Senior Forward Deployed Engineer (FDE)

4 weeks ago
United States
Full-time
Senior
AI Engineer
Software Development
Agile Apache Airflow Apache Spark AWS Azure C# CI/CD Docker GCP Generative AI Git Java JavaScript Kafka Kubernetes LLM Machine Learning Microservices MLOps Python REST API TypeScript
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LTS

LTS

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

Description

  • Partner directly with customer stakeholders to understand business objectives, operational challenges, and technical requirements.
  • Translate complex customer needs into scalable AI-enabled software solutions.
  • Lead technical discovery sessions, architecture workshops, and solution design discussions.
  • Collaborate with customer leadership, product owners, architects, and engineering teams to drive project outcomes.
  • Design, develop, test, and deploy AI-enabled applications, intelligent automation solutions, and modern software platforms.
  • Build scalable backend services, APIs, integrations, and workflows using modern software engineering practices.
  • Develop solutions using LLMs, RAG, agentic AI, machine learning, and other emerging AI technologies where appropriate.
  • Design secure, scalable, and maintainable architectures that balance performance, reliability, governance, and cost.
  • Implement CI/CD pipelines, automated testing, monitoring, logging, and observability.
  • Lead technical workstreams, mentor engineers, and contribute to proposals, presentations, demonstrations, and POCs.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, Information Systems, or a related technical discipline, or equivalent experience.
  • 5+ years of experience in software engineering, AI engineering, machine learning, data engineering, or related technical roles.
  • Experience designing and developing modern software applications using Python, Java, C#, JavaScript, TypeScript, or similar languages.
  • Experience designing, building, and deploying AI/ML or Generative AI solutions in production environments.
  • Experience leading technical workstreams and translating complex business requirements into scalable technical solutions.
  • Experience developing REST APIs, microservices, distributed systems, or enterprise integrations.
  • Experience working with AWS, Microsoft Azure, Google Cloud Platform, or hybrid cloud environments.
  • Experience with CI/CD pipelines, version control, automated testing, and DevOps practices.
  • Strong customer-facing communication, presentation, and consulting skills.
  • Ability to travel as required by project needs.
  • Experience with LLMs, Retrieval-Augmented Generation (RAG), agentic AI, intelligent automation, or multi-agent systems.
  • Experience with vector databases, embeddings, prompt engineering, model evaluation, AI governance, or AI safety practices.
  • Experience implementing MLOps or LLMOps practices including model deployment, monitoring, evaluation, and lifecycle management.
  • Experience with Docker and Kubernetes.
  • Experience supporting federal, healthcare, defense, or other regulated industry customers.

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.
  • Compensation transparency with salary ranges provided, with final pay based on experience, skills, location, and role requirements.

Interested in this position?

Apply directly on the company website

Apply Now

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