Senior Level Applied AI Engineer Jobs
Senior level applied ai engineer jobs put experienced practitioners in charge of system architecture, model deployment decisions, and the applied research or engineering teams that build production-ready AI solutions. Openings cover 21% remote and hybrid arrangements across Technology & Software, Banking & Financial Services, and Investment & Asset Management, with employers like Google, Apple, and JPMorganChase 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.
The Snowflake Cortex team is on a mission to bring the transformative power of generative AI and machine learning to enterprise customers, seamlessly and securely within the Snowflake Data Cloud. We are seeking an entrepreneurial and customer-obsessed Product Manager to lead the product vision and execution for our AI Solutions and Services.
In this role, you will own the end-to-end product lifecycle for some of our most exciting AI services. You will be responsible for understanding customer needs, defining the product roadmap, and working with a world-class engineering team to deliver innovative solutions that make it easy for any user to leverage AI. You will sit at the critical intersection of customers, our forward-deployed engineering team, core engineering, and GTM strategy, driving the future of AI within the Data Cloud. If you are obsessed with building products that are both powerful and simple, and thrive on turning ambiguity into impact, this is the role for you.
AS A SENIOR APPLIED AI PRODUCT MANAGER AT SNOWFLAKE, YOU WILL:
Own the Product Vision & Roadmap: Define and articulate a clear, compelling strategy for large-scale AI solutions. You will architect and own the end-to-end product lifecycle, from deep discovery and detailed requirements to hands-on development, launch, and the analysis of metrics to ensure a successful impact.
Lead from the Front: Serve as the unequivocal cross-functional leader for a dedicated pod of world-class engineers, data scientists, and solution architects. You will drive execution, partner with design, marketing, and sales to bring products to market, and act as the evangelist for your product vision.
Be the Voice of the Customer: Act as the critical bridge between customer objectives and our technical capabilities. You will engage deeply with users and executives to gather insights, validate hypotheses, and ensure the solutions you build solve their most pressing, high-value problems.
Commercialize Innovation: Masterfully distill insights from bespoke customer solutions into a strategic vision for scalable, repeatable products. You will own the roadmap for turning successful 1-of-1 deployments into 1-to-many platform features.
Shape Business Strategy: Work shoulder-to-shoulder with leadership at both Snowflake and our customer organizations to define product strategy and execute on high-stakes business goals.
OUR IDEAL SENIOR PRODUCT MANAGER WILL HAVE:
A Bachelor's degree in Computer Science, Engineering, or a related technical field; MBA or advanced degree is a plus.
7+ years of experience in product management, with a proven track record of shipping successful enterprise software or cloud services.
Deep technical fluency to confidently lead architectural discussions with senior engineers and have hands-on experience with data science workflows and modern AI paradigms (e.g., LLMs, vector databases, agentic workflows).
Demonstrated ability to develop a product strategy and translate it into a concrete, actionable roadmap.
Strong customer empathy and experience working directly with enterprise customers to understand their needs and challenges.
Exceptional executive presence and communication skills. You can command a room of C-level stakeholders and inspire a team around a shared vision.
A "get it done" attitude with a passion for building exceptional products.
BONUS POINTS (NICE TO HAVES):
Experience building and launching products for developers or data scientists.
Familiarity with the Snowflake platform and Data Cloud ecosystem.
Management consulting experience.
Experience operating in a high-growth, high-ambiguity environment where you were responsible for creating clarity and driving focus.
Experience in a role that directly supported a professional services or forward-deployed engineering team.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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:
- The estimated base salary range for this role is $200,000 - $287,500.
- Additionally, this role is eligible to participate in Snowflake’s bonus and 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
- Google9
- Apple6
- JPMorganChase6
- Citi5
- Adobe5
Top Industries Hiring
- Technology & Software41
- Banking & Financial Services15
- Investment & Asset Management11
- Artificial Intelligence10
- Construction & Real Estate7
Senior Level Applied AI Engineer Jobs: Frequently Asked Questions
How do I get a senior level applied ai engineer job?
Employers hiring at this level look for candidates who have owned end-to-end ML pipelines in production, not just contributed to them. Demonstrating that you have made architectural decisions, debugged systems under real constraints, and mentored junior engineers sets you apart. A portfolio of deployed models with measurable business impact carries more weight than credentials alone at the senior level.
Which companies hire senior level applied ai engineers?
Companies hiring senior level applied ai engineers right now include Google, Apple, and JPMorganChase, based on current listings on Migrate Mate as of July 2026. Hiring at this level comes from a mix of large technology firms scaling AI infrastructure, enterprise companies embedding AI into core products, and well-funded startups building specialized model applications.
Are there remote senior level applied ai engineer jobs?
Yes, remote and hybrid opportunities are widely available at this level. About 21% of senior level applied ai engineer openings are remote or hybrid as of July 2026, reflecting how many organizations treat senior AI engineers as distributed contributors who can lead effectively without being on-site every day.
What makes an applied ai engineer role senior level?
Senior level applied ai engineer roles are defined by scope and ownership. You are expected to design systems rather than implement tickets, evaluate tradeoffs across modeling approaches, and represent technical direction in cross-functional conversations. Mentoring junior engineers and reviewing the work of others is a core expectation, not an occasional add-on. The role requires independent judgment on ambiguous problems, not just execution of defined tasks.
Which industries hire the most senior level applied ai engineers?
Senior level applied ai engineer roles concentrate in Technology & Software, Banking & Financial Services, and Investment & Asset Management, based on current listings on Migrate Mate as of July 2026. These sectors drive hiring at this level because they are integrating AI into high-stakes, large-scale systems where experienced engineers who can own outcomes and lead technical decisions are essential.