Lead AI Engineer

🕒 Setembro 10

🍂 Massachusetts – Remoto

🍂 Massachusetts – Remote

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

👻 Score fantasma 11%

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IFS

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 1983

🏗️ Construção

🏭 Manufatura

📦 Logística

💰 Secondary Market em 2022-03

Construction • Manufacturing • Logistics

A IFS é uma empresa de software corporativo que oferece soluções para diversas indústrias, incluindo aeroespacial e defesa, construção e engenharia, energia, utilidades e recursos, manufatura, serviços e telecomunicações. A empresa oferece uma ampla gama de produtos de software, incluindo gestão de ativos empresariais, gestão de serviços de campo, planejamento de recursos empresariais e soluções que aproveitam inteligência artificial, como o IFS. ai. Essas soluções são projetadas para otimizar a gestão do ciclo de vida dos ativos, melhorar o engajamento do cliente e aumentar a eficiência operacional. A IFS Cloud fornece uma plataforma abrangente para a transformação digital, ajudando as empresas a aproveitarem os dados e a gerar insights em suas operações.

Descrição

• Design and architect AI-powered systems using LLMs, retrieval-augmented generation, agentic workflows, and orchestration patterns • Develop secure, maintainable, production-ready software platforms and cloud-native services • Orchestrate models, tools, retrieval systems, and enterprise workflows • Build rapid prototypes and proof-of-concepts to validate technologies and identify business opportunities • Establish evaluation, monitoring, testing, benchmarking, observability, and continuous-improvement practices • Lead technical design discussions and architecture reviews • Drive engineering best practices across teams • Mentor engineers and develop reusable AI capabilities and frameworks • Collaborate with product teams, architects, domain experts, customers, and partners • Identify opportunities and deliver measurable business impact • Influence IFS’s AI strategy and long-term technology direction through hands-on delivery, experimentation, customer engagement, industry events, and partner collaboration

🎯 Requisitos

• Bachelor’s degree in computer science, Software Engineering, AI, Data Science, or a related field • 8+ years of professional experience in AI, Machine Learning, and/or Software Engineering • Proven track record of successfully delivered projects • Experience bringing incubated AI solutions to production, including scoping, design, development, testing, deployment, and monitoring • Strong programming skills in one or more mainstream programming languages such as Python, Golang, C# or TypeScript • Experience with context engineering, retrieval architecture, embeddings, vector databases, search technologies, and retrieval optimization • Strong backend engineering fundamentals, including APIs, distributed services, cloud-native architectures, CI/CD, integration, automation, and security • Background in DevOps and MLOps/LLMOps practices • Familiarity with infrastructure-as-code tools such as Terraform and package managers such as Helm Charts • Ability to design solutions integrating enterprise applications, business processes, workflows, and data platforms • Experience designing and implementing AI architectures using LLMs, RAG, agentic workflows, orchestration patterns, and enterprise data sources • Understanding of AI system lifecycle, including evaluation, deployment, monitoring, governance, and continuous improvement • Experience working with customers, stakeholders, and domain experts to define and deliver solutions • Ability to rapidly prototype, experiment, measure outcomes, and iterate in customer and enterprise environments • Strong communication skills for explaining complex technical concepts to technical and non-technical audiences • Ability to translate complex business problems into technical strategies, execution plans, and measurable outcomes • Experience leading technical discussions, influencing architectural direction, mentoring engineers, and driving alignment across teams • Experience with two or more listed AI, cloud, infrastructure, model development, or enterprise AI technologies is highly desirable • Master’s degree is advantageous, not required

🏖️ Benefícios

• Flexible and hybrid work opportunities • Inclusive workplace experiences • Opportunity to work in a global, diverse environment • Commitment to sustainability • Opportunity to contribute to AI innovation and make a worldwide impact