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Lead Forward Deployed Engineer (FDE) at LTS. . Location: United States - Remote. . Location. :.  . Remote (U.S.). . Other Considerations: U.S. Citizen or Permanent Resident required. . .  . . LTS. is seeking a . Lead Forward Deployed Engineer (FDE). to provide technical leadership for the design, development, and deployment of AI-powered software solutions that address complex business and mission challenges. This highly customer-facing role combines AI engineering, software architecture, solution delivery, and technical program leadership while remaining hands-on throughout the development lifecycle.. . The ideal candidate is an experienced engineering leader who can guide multidisciplinary teams, influence executive stakeholders, and deliver enterprise-scale AI solutions in fast-paced environments. As a Lead Forward Deployed Engineer, you will serve as the primary technical advisor to customers, establish engineering strategy, oversee solution delivery, mentor engineering teams, and help shape LTS's AI engineering capabilities.. . What You’ll Do:. Executive Customer Engagement. . . 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.. . Translate business priorities into scalable AI-enabled software solutions and technical roadmaps.. . Advise customers on AI adoption strategies, solution architecture, governance, and operational readiness.. . Communicate complex technical concepts, trade-offs, and implementation risks to both technical and non-technical audiences.. . Support business development activities through technical presentations, demonstrations, proof-of-concepts (POCs), proposals, and solution briefings.. . . Technical Leadership & Delivery. . . 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.. . Guide engineering 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 across engagements.. . Remove technical blockers, manage delivery risks, and ensure successful execution across multiple projects or workstreams.. . Mentor engineers through architecture guidance, code reviews, technical coaching, and career development.. . . AI Solution Architecture & Engineering. . . Architect and oversee the development of AI-enabled applications, intelligent automation solutions, and modern software platforms.. . 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.. . Guide the design of scalable data pipelines, knowledge retrieval systems, APIs, microservices, and enterprise integrations.. . Establish best practices for prompt engineering, AI evaluation, model governance, human-in-the-loop workflows, and responsible AI.. . Define engineering approaches that balance scalability, performance, security, reliability, governance, and cost.. . Review production-quality code and ensure adherence to software engineering best practices.. . 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.. . . Program & Practice Leadership. . . Lead multiple engineering initiatives while ensuring consistent delivery quality across teams.. . Coordinate cross-functional and geographically distributed engineering teams, including hybrid onshore/offshore delivery models.. . Establish delivery governance, resource planning, risk management, stakeholder communications, and project health reporting.. . Contribute to organizational engineering strategy, AI capability development, and technical innovation.. . Promote continuous improvement through engineering best practices, reusable assets, and knowledge sharing.. . Stay current on emerging AI technologies, cloud platforms, software engineering trends, and industry best practices.. . . What We’re Looking For:. . . 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.. . . 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 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.. . .  . . What’s in it for you?. . . The 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. . .  . . If you’re ready to push boundaries, sharpen your skills, and join a team that is passionate about building what’s next, we’d love to meet you. Apply today and let’s build a future together!. .  . 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.. . 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.