Senior Level Artificial Intelligence Scientist Jobs
Senior level artificial intelligence scientist jobs call for professionals who set the technical direction, own research outcomes, and lead the teams or projects that bring complex AI systems to life. Openings are concentrated across Technology & Software, Banking & Financial Services, and Investment & Asset Management, with a mix of on-site, remote, and hybrid settings, and employers like Intuit, Apple, and Figma hiring at this level now.
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At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
An Account Executive on our Majors team is one of Snowflake's most senior individual contributor sales roles. Our Account Executives are customer obsessed and we believe in the value we can add and stay honest about it. We love to learn, are open to giving and receiving feedback and are passionate about making our clients successful. Our team works to ensure data is accessible, usable and valuable to everyone.
This role will be supporting our Financial Service division.
YOU MAY BE A GOOD FIT FOR THE TEAM IF YOU:
Act customer first and obsessed with helping customers drive digital transformation.
Think big and demonstrate excellence in the application of technology to solve all kinds of problems.
Possess a “Get it done” and “Own it” philosophy to drive customer success.
Knowledge and experience within the data science, analytics, or big data markets.
Feel comfortable talking with all levels of customer teams from individual contributors to C-level executives using language that appropriately translates complex technical and business information.
IN THIS ROLE YOU WILL GET TO:
Build trusted relationships with Snowflake internal resources, external partners, and client account teams to qualify deals, identify business value, and provide technical guidance in order to set proper expectations to ensure customer satisfaction
Leverage knowledge of a domain or industry to align Snowflake’s value to the customers’ business and technical problems
Immerse yourself in the ever-evolving technology and landscape while maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.
Conduct discovery meetings to collect, analyze, clarify, and document business requirements during the sales cycle to support the implementation team and produce a detailed solution proposal.
Work hands-on with prospects and customers to deliver standard, customized and/or strategic solution demonstrations, white boarding, presentations, and best practices that showcase functional capabilities, competitive advantages, and business benefits of the Snowflake solutions throughout the sales cycle, from demo to proof of concept to design and implementation.
Guides customers in digital transformation and cloud adoption, understanding where Snowflake integrates with holistic architecture and strategy.
Provide ongoing, post-sales, technical guidance to the customer’s technical team to drive customer utilization of Snowflake and digital transformation success
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
ON DAY ONE WE WILL EXPECT YOU TO HAVE:
10+ years of relevant experience in an enterprise sales role for a SaaS, IaaS, or PaaS company
Experience working with FIS customers highly preferred
Outstanding presenting skills to both technical and executive audiences
Exceptional problem solving, organizational, decision making and presentation skills
Ability to work in an independent, collaborative and fast paced environment
Bachelor's degree in science, technology, engineering, math or equivalent experience preferred
Ability to travel regionally as needed
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:
- This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $352,000 - $462,000. The estimated base salary for this role is $176,000 - $231,000.
- Additionally, this role is eligible to participate in Snowflake’s equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
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Who's Hiring



Top Industries Hiring
- Technology & Software22
- Banking & Financial Services6
- Investment & Asset Management5
- Fintech4
- Healthcare & Medical Services3
Senior Level Artificial Intelligence Scientist Jobs: Frequently Asked Questions
How do I get a senior level artificial intelligence scientist job?
Employers hiring at the senior level look for candidates who have led end-to-end AI research or product initiatives, not just contributed to them. A strong publication record, open-source contributions, or deployed production systems carry significant weight. Demonstrating that you have mentored junior scientists, shaped research roadmaps, and made architectural decisions that held up at scale will set you apart from mid-level candidates.
Which companies hire senior level artificial intelligence scientists?
Companies hiring senior level artificial intelligence scientists right now include Intuit, Apple, and Figma, based on current listings on Migrate Mate as of August 2026. Hiring at this level is driven by a mix of large technology firms, well-funded AI startups, and enterprise organizations building proprietary AI capabilities across healthcare, finance, and defense sectors.
Are there remote senior level artificial intelligence scientist jobs?
Yes, remote and hybrid options are widely available at the senior level. About 34% of senior level artificial intelligence scientist openings are remote or hybrid as of August 2026, reflecting the research-oriented nature of the role and employer competition for top talent regardless of location. On-site roles tend to cluster at labs and organizations where hands-on hardware or data infrastructure access is required.
What makes an artificial intelligence scientist role senior level?
Senior level roles are defined by scope and ownership. Where a mid-level scientist executes on a defined problem, a senior artificial intelligence scientist shapes how the problem is framed, selects the modeling approach, and is accountable for the outcome. These roles typically involve leading a sub-team or project workstream, mentoring junior researchers, contributing to hiring decisions, and publishing or presenting work that represents the organization externally.
Which industries hire the most senior level artificial intelligence scientists?
Senior level artificial intelligence scientist roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of August 2026. These sectors drive demand because they have both the data infrastructure to support large-scale AI development and the competitive pressure to attract experienced scientists who can move quickly from research to production.