Senior Level Data and AI Architect Jobs
Senior level data and ai architect jobs place experienced professionals in charge of enterprise data strategy, end-to-end AI platform design, and the cross-functional teams that deliver production systems. Openings are concentrated across Technology & Software, Banking & Financial Services, and Healthcare & Medical Services, with a mix of on-site, hybrid, and remote roles available from employers like JPMorganChase, Credit One Bank, and Oakridge Staffing hiring at this level now.
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Showing 5 of 7+ Senior Level Data and AI Architect 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.
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.
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Find JobsSenior Level Data and AI Architect Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Banking & Financial Services
- Healthcare & Medical Services
- Fintech
- Insurance
Senior Level Data and AI Architect Jobs: Frequently Asked Questions
How do I get a senior level data and ai architect job?
Candidates who land senior roles demonstrate ownership of large-scale data or AI systems, not just participation in them. Hiring managers look for architects who have designed cloud-native data platforms, led model deployment pipelines, and guided junior engineers. Pairing deep hands-on technical expertise with a portfolio of measurable business outcomes, such as reduced latency, improved model accuracy, or cost savings, gives you a clear edge at this level.
Which companies hire senior level data and ai architects?
Companies hiring senior level data and ai architects right now include JPMorganChase, Credit One Bank, and Oakridge Staffing, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from large enterprises building proprietary AI infrastructure, technology firms scaling data products, and consulting organizations staffing strategic client engagements.
Are there remote senior level data and ai architect jobs?
Yes, remote and hybrid availability is strong at this level. About 17% of senior level data and ai architect openings are remote or hybrid as of November 2026, reflecting employer confidence in placing experienced architects outside a central office. Senior professionals with proven delivery history are well-positioned to negotiate flexible arrangements.
What makes a data and ai architect role senior level?
Senior level roles are defined by scope and ownership. Where mid-level architects execute within defined systems, senior architects set the technical direction, make build-versus-buy decisions, and are accountable for platform reliability and scalability across the organization. They also mentor engineers, drive cross-team alignment, and translate complex data and AI requirements into architectural decisions that hold up under production pressure.
Which industries hire the most senior level data and ai architects?
Senior Level data and ai architect 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 the intersection of large proprietary datasets, real-time decision systems, and regulatory complexity that demands experienced architectural leadership.