Senior Level Senior AI Software Engineer Jobs
Senior level senior ai software engineer jobs place experienced engineers in charge of architectural decisions, system-wide outcomes, and the teams or projects responsible for delivering them. Hiring is spread across on-site, remote, and hybrid settings in Technology & Software, Electronics & Hardware, and Banking & Financial Services, with employers like NVIDIA, Humana, and Databricks hiring at this level now.
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Navan is building the next generation of intelligent travel experiences, where loyalty, personalization, and AI agents help travelers make better decisions before, during, and after every trip. As a Senior Software Engineer, AI on the Loyalty Wallet team, you'll build agentic product experiences that understand a traveler's loyalty programs, surface useful insights, and safely help users manage their memberships through Navan Edge.
What You'll Do:
- Build AI-Powered Product Experiences: Design and develop agentic workflows that help users view, understand, connect, and manage their loyalty programs through chat, wallet surfaces, and personalized recommendations.
- Develop Production AI Systems: Build reliable LLM-powered flows with structured outputs, tool calling, guardrails, human confirmation, evals, and monitoring for real customer-facing use cases.
- Own Agent and Workflow Quality: Create and maintain scenario tests, adversarial evals, prompt/tool contracts, and quality metrics that ensure agents behave safely around loyalty data, PII, financial guidance, and unsupported requests.
- Integrate Across the Stack: Work across frontend, backend, and AI orchestration layers, including wallet APIs, streaming chat experiences, UI components, data services, and ML/LLM workflows.
- Turn Data Into Personalization: Help transform loyalty balances, tier progress, membership data, connected email signals, and trip context into useful recommendations and next-best actions.
- Collaborate Cross-Functionally: Partner closely with product, design, backend, data, and platform teams to ship polished, measurable customer experiences.
- Raise the Engineering Bar: Champion maintainable code, thoughtful abstractions, strong tests, observability, documentation, and operational ownership.
What We're Looking For:
- 6+ years of software engineering experience building production systems, with meaningful hands-on experience in AI, LLM, agent, workflow, or ML-powered products.
- Experience building agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, eval pipelines, or AI assistants in production.
- Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks.
- Experience with distributed systems, APIs, async workflows, caching, observability, and production debugging.
- Comfort working with AI safety patterns such as guardrails, HITL confirmation, deterministic tool boundaries, hallucination prevention, and PII-sensitive workflows.
- Product mindset and ability to translate ambiguous user needs into robust, user-facing experiences.
- Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release.
- Experience with travel, loyalty programs, personalization, fintech, or consumer data products is a strong plus.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.
Navan is building the next generation of intelligent travel experiences, where loyalty, personalization, and AI agents help travelers make better decisions before, during, and after every trip. As a Senior Software Engineer, AI on the Loyalty Wallet team, you'll build agentic product experiences that understand a traveler's loyalty programs, surface useful insights, and safely help users manage their memberships through Navan Edge.
What You'll Do:
- Build AI-Powered Product Experiences: Design and develop agentic workflows that help users view, understand, connect, and manage their loyalty programs through chat, wallet surfaces, and personalized recommendations.
- Develop Production AI Systems: Build reliable LLM-powered flows with structured outputs, tool calling, guardrails, human confirmation, evals, and monitoring for real customer-facing use cases.
- Own Agent and Workflow Quality: Create and maintain scenario tests, adversarial evals, prompt/tool contracts, and quality metrics that ensure agents behave safely around loyalty data, PII, financial guidance, and unsupported requests.
- Integrate Across the Stack: Work across frontend, backend, and AI orchestration layers, including wallet APIs, streaming chat experiences, UI components, data services, and ML/LLM workflows.
- Turn Data Into Personalization: Help transform loyalty balances, tier progress, membership data, connected email signals, and trip context into useful recommendations and next-best actions.
- Collaborate Cross-Functionally: Partner closely with product, design, backend, data, and platform teams to ship polished, measurable customer experiences.
- Raise the Engineering Bar: Champion maintainable code, thoughtful abstractions, strong tests, observability, documentation, and operational ownership.
What We're Looking For:
- 6+ years of software engineering experience building production systems, with meaningful hands-on experience in AI, LLM, agent, workflow, or ML-powered products.
- Experience building agentic systems, tool-calling workflows, RAG-like systems, structured LLM outputs, eval pipelines, or AI assistants in production.
- Strong engineering fundamentals in TypeScript/Node.js, Java, Python, or similar backend/product engineering stacks.
- Experience with distributed systems, APIs, async workflows, caching, observability, and production debugging.
- Comfort working with AI safety patterns such as guardrails, HITL confirmation, deterministic tool boundaries, hallucination prevention, and PII-sensitive workflows.
- Product mindset and ability to translate ambiguous user needs into robust, user-facing experiences.
- Strong ownership mentality, with the ability to ship, measure, iterate, and support features after release.
- Experience with travel, loyalty programs, personalization, fintech, or consumer data products is a strong plus.
- Bachelor's or Master's degree in Computer Science, Engineering, or related field, or equivalent hands-on experience.
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Find JobsSenior Level Senior AI Software Engineer Job Market
Who's Hiring
- NVIDIA12
- Humana10
- Databricks10
- Palo Alto Networks9
- Apple7
Top Industries Hiring
- Technology & Software109
- Electronics & Hardware29
- Banking & Financial Services20
- Insurance18
- Healthcare & Medical Services16
Senior Level Senior AI Software Engineer Jobs: Frequently Asked Questions
How do I get a senior level senior ai software engineer job?
Employers hiring at this level look for engineers who have moved beyond executing tasks to owning outcomes. Strong candidates demonstrate end-to-end delivery of production AI systems, a history of influencing architectural decisions, and the ability to mentor junior engineers. Published research, open-source contributions, or measurable business impact from deployed models give candidates a clear edge in competitive applicant pools.
Which companies hire senior level senior ai software engineers?
Companies hiring senior level senior ai software engineers right now include NVIDIA, Humana, and Databricks, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a broad mix of large technology firms, enterprise software companies, and well-funded startups building AI-native products.
Are there remote senior level senior ai software engineer jobs?
Yes, remote and hybrid options are widely available at this level. About 45% of senior level senior ai software engineer openings are remote or hybrid as of July 2026, reflecting the high demand for experienced AI talent and employers' willingness to hire outside major tech hubs to access a deeper candidate pool.
What makes a senior ai software engineer role senior level?
Senior level roles carry broader ownership than mid-level positions. Engineers at this stage set technical direction for AI systems rather than implementing against a spec, are accountable for the reliability and scalability of deployed models, lead cross-functional work with product and data teams, and are expected to mentor and develop less experienced engineers on the team.
Which industries hire the most senior level senior ai software engineers?
Senior level senior ai software engineer roles concentrate in Technology & Software, Electronics & Hardware, and Banking & Financial Services, based on current listings on Migrate Mate as of July 2026. These sectors drive demand because they are deploying AI at scale in production environments, which requires engineers with the depth and experience to own complex systems from design through delivery.