Lead Forward Deployed Engineer

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🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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LTS

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏛️ Government

🏢 Enterprise

🔐 Security

Government • Enterprise • Security

LTS is a government-focused mission support and healthcare services firm that provides emergency response, occupational health, automated healthcare solutions, and enterprise consulting. It offers rapid nationwide deployment for disaster response, logistics and mass care, and delivers automated diagnostic kiosks, diagnostic lab testing, medical staffing, on-site clinics, and testing/vaccination management for underserved and remote populations. LTS also provides IT modernization, cloud and systems integration, cybersecurity and risk management, AI/ML and data analytics, and program management for federal, state, and local clients with strong compliance (HIPAA and federal standards) and public-sector acquisition experience.

📋 Description

• 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. • 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. • 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. • 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.

🎯 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.

🏖️ Benefits

• 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