Lead Forward Deployed Engineer

🕒 Julho 3

🇺🇸 Estados Unidos – Remoto (EUA)

⏰ Tempo Integral

🟠 Sênior

🧑‍💻 Engenheiro Full-stack

🦅 Patrocina Visto H1B

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LTS

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

🏥 Saúde

💼 Consultoria

📦 Logística

Healthcare • Consulting • Logistics

A LTS é uma empresa voltada para apoio a missões governamentais e serviços de saúde, oferecendo resposta a emergências, saúde ocupacional, soluções automatizadas de saúde e consultoria corporativa. Ela proporciona rápida mobilização em todo o país para resposta a desastres, logística e assistência em massa, além de oferecer quiosques de diagnóstico automatizado, testes laboratoriais, pessoal médico, clínicas no local e gestão de testes/vacinação para populações carentes e remotas. A LTS também oferece modernização de TI, integração de nuvem e sistemas, cibersegurança e gestão de riscos, IA/ML e análise de dados, e gestão de programas para clientes federais, estaduais e locais, com forte conformidade (padrões HIPAA e federais) e experiência em aquisições no setor público.

Descrição

• 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.

🎯 Requisitos

• 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.

🏖️ Benefícios

• 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