Senior Level AI Automation Engineer Jobs
Senior level ai automation engineer jobs put experienced engineers in charge of architecture decisions, end-to-end automation systems, and the teams or technical initiatives that deliver them. Openings are concentrated across Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, with 33% remote or hybrid availability, and employers like Uber, Okta, and Scout Motors hiring at this level now.
Find JobsOverview
Showing 5 of 14+ Senior Level AI Automation Engineer jobs











Job Title: AI Engineer
Location: Boston, MA/Princeton NJ
Experience Required:
8+ Years
- Generative AI Engineering
- Cloud AI / Agentic AI development
- Python
- AI/ML solution design
- Full delivery lifecycle
- Agile delivery
- Data engineering
- Performance and security standards
- Model integration
- Production deployment
- AI security and observability
BASIC QUALIFICATIONS
- Core experience: Cloud AI / Agentic AI development; Python; AI/ML solution design; full delivery lifecycle; agile delivery; data engineering, performance and security standards.
- Strong problem-solving, documentation and stakeholder communication skills.
- Experience delivering enterprise technology solutions in regulated environments is preferred.
- Financial services experience is preferred, with direct domain experience required where specified in the role skills.
See All 14 Senior Level AI Automation Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find JobsSenior Level AI Automation Engineer Job Market
Who's Hiring



Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Healthcare & Medical Services
- Investment & Asset Management
- Fintech
Senior Level AI Automation Engineer Jobs: Frequently Asked Questions
How do I get a senior level ai automation engineer job?
Employers at this level want candidates who have owned automation infrastructure end to end, not just contributed to it. Demonstrate that you have designed systems from scratch, resolved production failures under pressure, and guided junior engineers through technical decisions. A portfolio showing measurable impact, such as reduced processing time or improved model reliability, consistently gives candidates an edge over those with equivalent experience but narrower scope.
Which companies hire senior level ai automation engineers?
Companies hiring senior level ai automation engineers right now include Uber, Okta, and Scout Motors, based on current listings on Migrate Mate as of November 2026. Hiring at this level tends to come from technology firms, large enterprises modernizing operations, and consulting organizations building out specialized AI practices for clients.
Are there remote senior level ai automation engineer jobs?
Yes, though availability varies by employer and role scope. About 33% of senior level ai automation engineer openings are remote or hybrid as of November 2026, reflecting strong demand for experienced engineers who can work independently and lead distributed teams. On-site roles are more common when the position involves sensitive infrastructure or close collaboration with hardware systems.
What makes an ai automation engineer role senior level?
Senior level roles are defined by ownership and scope rather than just technical complexity. At this stage, you are expected to set the technical direction for automation systems, make architectural trade-offs that affect the broader organization, and mentor engineers working beneath you. Mid-level roles focus on executing defined solutions, while senior roles require defining the solutions themselves and being accountable for their long-term performance.
Which industries hire the most senior level ai automation engineers?
Senior level ai automation engineer roles concentrate in Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they operate at a scale where automation decisions carry significant business consequences, making experienced engineers with proven judgment more valuable than generalist practitioners.