Senior Forward Deployed Engineer (FDE)

LTS

1d • Remote

About The Position

LTS is seeking a Senior Forward Deployed Engineer (FDE) to lead the design, development, and deployment of AI-powered software solutions that solve complex business and mission challenges. This is a highly customer-facing role that combines software engineering, AI/ML expertise, technical leadership, and solution architecture to rapidly deliver innovative, production-ready solutions. The ideal candidate is an experienced engineer who excels in ambiguous environments, partners effectively with executive and technical stakeholders, and leads cross-functional teams through the full solution lifecycle. Senior Forward Deployed Engineers serve as trusted advisors to customers while remaining hands-on in solution delivery, mentoring engineering teams, and helping shape technical strategy across engagements.

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 one or more programming languages such as Python, Java, C#, JavaScript, or TypeScript.
• 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 cloud platforms such as 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.
• Proven ability to lead technical teams in fast-paced, agile delivery environments.
• Ability to travel as required by project needs.

Nice To Haves

• Experience developing Generative AI applications using 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 containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with modern data engineering technologies including Spark, Airflow, Kafka, streaming platforms, or enterprise data architectures.
• Experience integrating enterprise systems through APIs, event-driven architectures, or messaging platforms.
• Familiarity with security, privacy, governance, and compliance best practices.
• Experience supporting federal, healthcare, defense, or other regulated industry customers.
• Experience contributing to business development activities, technical proposals, solution demonstrations, or proof-of-concepts.
• Experience mentoring engineers and building reusable engineering frameworks, accelerators, or technical assets.

Responsibilities

• Customer Engagement & Technical Leadership: 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 successful project outcomes. Serve as a trusted technical advisor throughout solution implementation and deployment. Build and maintain strong customer relationships while managing expectations and ensuring successful delivery. Guide customers in adopting AI technologies and modern engineering best practices. Mentor engineering teams and promote technical excellence across engagements.
• Solution Engineering: 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 utilizing large language models (LLMs), retrieval-augmented generation (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. Deliver clean, production-quality, well-tested, and well-documented code. Implement CI/CD pipelines, automated testing, monitoring, logging, and observability. Develop reusable frameworks, software components, documentation, and engineering accelerators that improve delivery across projects.
• Delivery & Practice Leadership: Lead technical workstreams and provide engineering leadership across multiple projects. Support solution planning, estimation, architecture reviews, and technical decision-making. Mentor junior and mid-level engineers through design reviews, code reviews, and technical coaching. Contribute to proposals, technical presentations, demonstrations, proof-of-concepts (POCs), and customer solution workshops. Help establish engineering standards, best practices, and reusable intellectual property across the organization. Stay current on emerging AI technologies, cloud platforms, software engineering trends, and industry best practices.

Benefits

• Comprehensive benefits for you and your family
• A career path that rewards ambition and performance
• Access to cutting-edge tools and technologies
• A culture that values innovation, growth, collaboration, and quality
• The opportunity to support high visibility federal missions in IT and healthcare

What This Job Offers

• Job Type: Full-time
• Career Level: Senior