[Hiring] Principal Software Engineer - AI Solutions @Insight

Role Description

As a Principal Software Engineer (PSE), AI Solutions, you will play a senior, hands-on role in building and delivering AI-powered solutions that support our clients’ transformation initiatives. You will work closely with AI Architects 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 deep technical execution, solution-level design, and mentoring, and who want to operate at the leading edge of applied AI without owning enterprise-wide architecture or technical strategy.

• Design and implement solution-level components for AI, ML and data science initiatives.
• Translate business and technical requirements into detailed designs, code, and implementation plans.
• Serve as a technical lead for AI-focused workstreams, ensuring high-quality execution and delivery outcomes.
• Build, test, and deploy AI, ML, cloud, analytics, and software solutions in production environments.
• Collaborate closely with AI Architects to align implementation decisions with broader architectural intent.
• Contribute to technical excellence through code reviews, mentoring engineers, and sharing best practices.
• Support presales and discovery activities by contributing technical insight, estimates, and feasibility assessments.
• Stay current with emerging AI technologies and help apply them pragmatically to client solutions.

Qualifications

• Bachelor’s degree in a technical field or equivalent hands-on engineering experience.
• Strong experience in software engineering with demonstrated delivery of complex, production-grade systems.
• Practical depth in at least one of the following areas, with working knowledge across others:
• AI/ML & Agentic Systems
• Cloud Engineering
• Data Engineering & Analytics
• Software Engineering

Requirements

• Implementing GenAI and agentic 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.
• Proficiency in Python, SQL, Java, C++, or similar languages.
• Experience with modern frameworks, DevOps practices, and CI/CD pipelines.

Benefits

• 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.
• Core values of Hunger, Heart, and Harmony, guiding relationships with teammates, partners, and clients.