Lead AI Engineer

🔥 13 hours ago

🍂 Massachusetts – Remote

🍂 Massachusetts – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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IFS

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1983

🏗️ Construction

🏭 Manufacturing

📦 Logistics

💰 Secondary Market on 2022-03

Construction • Manufacturing • Logistics

IFS is an enterprise software company providing solutions for various industries, including aerospace and defense, construction and engineering, energy, utilities, and resources, manufacturing, services, and telecommunications. The company offers a wide range of software products, including enterprise asset management, field service management, enterprise resource planning, and solutions leveraging artificial intelligence such as IFS. ai. These solutions are designed to optimize asset lifecycle management, improve customer engagement, and enhance operational efficiencies. IFS Cloud provides a comprehensive platform for digital transformation, helping businesses to harness data and drive insights across their operations.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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