Sr. AI Engineer

Requisition Number: 104152 Senior Software Engineer – AI Solutions Location: You will have the flexibility to work fully remote from anywhere across the US. Insight at a Glance 14,000+ engaged teammates globally $8.2 billion in revenue in 2025 Placed on Newsweek's America's Greatest Workplaces for 2025 About the role As a Senior Software Engineer (SSE), AI Solutions, you will play a hands-on role in building and delivering AI-powered solutions that support our clients' transformation initiatives. You will work closely with AI Architects, Principal Engineers, and cross-functional teams to implement scalable, high-quality systems across AI, cloud, data, and software engineering. This role is ideal for experienced engineers who enjoy strong technical execution, contributing to solution-level design, and growing toward technical leadership while operating at the leading edge of applied AI. Responsibilities Design and implement components for AI, ML, and data science initiatives. Translate business and technical requirements into well-structured designs, code, and implementation tasks. Contribute as a senior individual-contributor on AI-focused workstreams, supporting high-quality execution and delivery outcomes. Build, test, and deploy AI, ML, cloud, analytics, and software solutions in production environments. Collaborate with AI Architects and senior engineers to align implementation decisions with broader architectural direction. Contribute to technical excellence through code reviews, shared ownership of quality, and knowledge sharing. Support discovery and delivery activities by providing technical input, estimates, and feasibility feedback. Stay current with emerging AI technologies and apply them thoughtfully to client solutions. Qualifications Bachelor's degree in a technical field or equivalent hands-on engineering experience. Solid experience in software engineering with delivery of production-grade systems. Practical experience in one or more of the following areas, with working knowledge across others: AI/ML & Agentic Systems Implementing GenAI solutions and agent-based workflows Integrating LLMs, embeddings, and retrieval systems Supporting ML/LLMOps pipelines and experimentation frameworks Building cloud-native applications on Azure and/or AWS. Applying distributed systems and scalability patterns. Implementing data pipelines, vector stores, and analytics workloads. Working with structured and unstructured data sources. Software Engineering Proficiency in Python, SQL, Java, C++, or similar languages. Experience with modern frameworks, DevOps practices, and CI/CD pipelines. Preferred Certifications (or equivalent experience) AWS: ML Specialty, AI Practitioner, ML Engineer, or Solutions Architect. Azure: AI Engineer Associate, Data Scientist Associate, Generative AI Fundamentals. Who You Are A capable technologist who communicates clearly with engineers, architects, and stakeholders. Comfortable operating in delivery-focused environments with guidance from senior leaders. Collaborative and effective working within cross-functional teams. Motivated to grow through mentorship, feedback, and hands-on experience. Driven to build real-world AI systems that deliver measurable business value. What you can expect Freedom to work from another location—even an international destination—for up to 30 consecutive calendar days per year. Full medical, dental, vision, and company 401k match. Salary Range – $120,000 – $135,000 The position described above provides a summary of some of the job duties required and what it would be like to work at Insight. For a comprehensive list of physical demands and work environment for this position, click here. Equal Employment Opportunity Statement Insight is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation or any other characteristic protected by law. J-18808-Ljbffr