Top Artificial Intelligence Software Engineer Jobs

Leads application architecture for Caterpillar’s MineStar Office software suite. Defines technical direction, roadmaps, scalable and secure architectures, integrations, data flows, deployment designs, and architecture standards. Collaborates closely with engineering, product, platform, and commercial teams to translate requirements into practical designs and guide implementation. Reviews code-level decisions, resolves technical risks, reduces technical debt, maintains architecture documentation, and mentors engineers. The role requires strong software engineering credibility and experience bridging architecture with delivery.

Leads technical architecture for Caterpillar’s Scheduled Oil Service LIMS platform, guiding existing and new solutions, integrations, scalability, security, and performance. Translates business requirements into architecture blueprints, evaluates emerging technologies, and delivers cloud-native digital solutions. The role combines Java architecture and hands-on coding with enterprise AI, data integration, analytics, Agile SDLC, CI/CD, mentoring, and cross-functional collaboration.

Develop and maintain software solutions for tax technology and client service delivery. Responsibilities include designing, coding, testing, troubleshooting, and reviewing application features using Python, C# .NET, and React Native. The role translates technical requirements into deliverables, improves functionality based on feedback and data, collaborates across teams, manages workstreams, and mentors junior engineers.

Leads tax technology initiatives by directing software architecture, application design, coding, testing, integration, and client-facing solution delivery. Sets strategic direction, develops roadmaps, drives business growth, evaluates AI and emerging technologies, guides cross-functional teams, coaches leaders, and ensures professional and independence standards. Translates tax requirements into scalable engineering strategies while improving service delivery and business performance.

Leads tax technology software engineering workstreams from planning through deployment. Manages client-facing engagements, translates tax requirements into scalable technical solutions, reviews architecture and code, oversees CI/CD, and coaches engineers. The role also manages scope, budgets, timelines, performance, troubleshooting, and delivery quality while identifying automation and process improvement opportunities through AI fluency and analytical thinking.

Build customer-specific software solutions using large-scale data and AI. Responsibilities include collaborating on architecture and design, developing custom applications, engaging with technical and executive stakeholders, and driving high-impact projects from ideation through deployment. The role involves working directly with customers, solving complex technical problems, and traveling to client sites as needed.

FDSE Interns work in small teams to design and implement data-driven solutions for customers, owning end-to-end projects including architecture, large-scale data wrangling, web app coding, and customer engagement. Interns receive mentorship, travel to client sites as needed, and are treated like full-time engineers.

Work on customer-facing, high-impact projects as an intern FDSE: design and implement data-driven solutions, wrangle large-scale data, build web apps, discuss architecture, and own end-to-end execution while collaborating with technical and non-technical stakeholders. May require travel and US government background checks.

Develop and operate scalable, highly available SaaS data-platform microservices. Responsibilities include designing systems, implementing features, optimizing performance, troubleshooting, collaborating with product, UX, and TechOps teams, participating in Agile delivery, and serving on-call rotations. The role involves distributed systems, data processing, storage, event-driven architecture, containerization, and full-stack development.

An early-career software engineering resident will build and deploy production services, use AI tools to accelerate development, improve system performance, and collaborate with product, design, and engineering teams. The 18-week program requires full-time, in-office work in New York City and offers potential full-time employment after completion. Residents are expected to ship a real contribution, apply strong computer science fundamentals, and work effectively in a fast-paced environment.

Build and maintain reproducible research infrastructure for evaluating digital-twin and large language model systems. Responsibilities include automating experiments, implementing deterministic measurement pipelines, managing versioned datasets and human-participant data, maintaining research-production alignment, monitoring evaluation validity and compute costs, and supporting documented coding workflows. The role requires strong Python, data pipeline, cloud, concurrency, machine learning, and software engineering skills, with preferred experience in LLM systems, model fine-tuning, inference serving, experiment tracking, and generative agents.

Develop and maintain full-stack internal software tools used across Shield AI. Responsibilities include gathering and refining requirements, architecting robust solutions, deploying internal applications, and maintaining existing tooling. The role requires collaboration with multiple teams and may involve projects ranging from aircraft physics analysis to ticket tracking systems.

Build software simulators modeling the National Airspace System, including aircraft trajectories, weather, air traffic control, and pilot behavior. Design simulation infrastructure and physics-based models using discrete-time simulation, statistics, algorithms, and Monte Carlo analysis. Develop mission-critical software for aviation decision-support systems and collaborate across teams in a safety-critical environment.

Design, analyze, and implement real-time optimization software for tracking and planning aircraft trajectories across the National Airspace System. Apply operations research, optimization, statistics, data science, and machine learning to mission-critical aviation systems. Develop algorithms using approaches such as linear programming, mixed-integer programming, constraint satisfaction, and greedy optimization. Analyze large datasets, build predictive models, collaborate across teams, and use modern LLM tools to improve development workflows and code quality.

Build and evolve scalable, performant software services supporting production AI systems. Responsibilities include writing quality code, designing cloud-neutral microservices, optimizing and deploying AI models, contributing to architecture and design discussions, leading the software development lifecycle, mentoring engineers, and collaborating cross-functionally. The role requires expertise in Go or another major programming language, Python, DevOps technologies, cloud architecture, databases, and scalable service development.

Develop and maintain Salesforce applications, Apex, Lightning Web Components, APIs, and integrations across payment, credentialing, exam, tax, and finance systems. Troubleshoot production issues, manage high-volume data, maintain security controls, and deliver tested changes through CI/CD. Collaborate with cross-functional Agile teams on technical designs, estimation, and implementation while evaluating Salesforce releases and using AI-assisted development tools.