Principal Software Engineer

Who We Are

Solera is a global leader in data and software services, transforming every touchpoint of the vehicle lifecycle into a connected digital experience. Solera processes over 300 million digital transactions annually for approximately 235,000 partners and customers in more than 90 countries. Our teams work on mission‑critical platforms that demand reliability, scalability, and thoughtful evolution of complex systems.

Job Summary

We’re looking for a hands-on Principal Software Engineer (P5) who is deeply focused on AI-driven development, agentic AI systems, and practical delivery of production software. This person will not only set the technical direction but also take full ownership of complex initiatives—leading projects from concept through architecture, implementation, launch, and continuous improvement.

This role is ideal for a senior technologist who:

• Leads complete, high-impact projects end-to-end with strong technical ownership, execution discipline, and stakeholder alignment
• Designs and builds AI-driven software solutions using LLMs, agentic architecture, MCP-style orchestration, and AI-enabled automation
• Makes pragmatic architectural decisions that balance speed, reliability, and long-term maintainability
• Leverages AI-assisted development tools to accelerate delivery and elevate team productivity
• Partners effectively with product, architecture, security, operations, and business stakeholders to turn ambiguous goals into delivered outcomes
• Mentors engineers and raises the overall technical standard through example, code review, and system ownership
• You will operate with broad autonomy, lead complete initiatives without requiring constant direction, influence architectural direction across teams, and be known as someone who ships, unblocks others, aligns stakeholders, and makes things happen.

WHAT YOU’LL DO

• Write production-quality code regularly across core services, platforms, and AI workflows
• Own and deliver high-impact features and system improvements end-to-end
• Lead the modernization of legacy systems, incrementally migrating to modern, cloud-native architectures
• Design, build, and evolve scalable microservices and APIs
• Translate ambiguous business requirements into reliable, working software quickly
• Identify technical risks early and drive pragmatic, production-ready solutions
• Run complete project workstreams independently, including technical discovery, solution design, delivery planning, execution tracking, launch readiness, and post-launch follow-through

AI-Driven Development, Agents & LLM Systems

• Lead the design and implementation of AI-driven development patterns, AI processing pipelines, and production-grade LLM capabilities
• Build and orchestrate agentic AI systems capable of tool use, multi-step reasoning, workflow automation, task planning, and autonomous execution with appropriate human oversight
• Implement MCP-style patterns (model–context–protocol or equivalent) to manage:
• Context propagation
• Tool invocation
• State and memory
• Guardrails and policy enforcement
• Integrate AI systems with real business workflows, APIs, and data sources
• Implement hallucination mitigation strategies, such as grounding, retrieval, validation, and structured outputs
• Design evaluation, monitoring, and feedback loops for AI behavior in production
• Ensure AI systems meet security, privacy, and compliance requirements
• Define engineering practices for AI-assisted development, including prompt patterns, code generation workflows, review standards, evaluation criteria, and safe adoption across teams

Technical Leadership & Architecture

• Set and evolve architectural standards through real-world implementation
• Guide service boundaries, data ownership, and integration patterns across systems
• Make principled tradeoffs between speed, scalability, correctness, and cost
• Act as a technical escalation point for the most challenging problems (distributed systems, data, AI workflows)
• Influence technical direction across multiple teams without becoming a bottleneck
• Provide full technical leadership for projects by coordinating architecture, engineering execution, dependency management, risk mitigation, and cross-team alignment
• Communicate clearly with product owners, engineering leaders, security, DevOps/SRE, QA, and business stakeholders to keep delivery aligned with business outcomes

**AI‑Assisted Engineering & Developer Product…