Senior Level Agentic AI Engineer Jobs
Senior level agentic ai engineer jobs place experienced engineers in charge of multi-agent system architecture, autonomous pipeline design, and the cross-functional teams building production-ready AI solutions. Openings are concentrated across Technology & Software, Science & Research, and Cybersecurity, with a mix of on-site, remote, and hybrid settings, and employers like Articul8, Radware, and Capital One hiring at this level now.
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Overview
Intuit Credit Karma, Consumer Group is looking for a Staff Product Manager to help define and scale the AI-powered experiences that help millions of members make smarter financial decisions, both inside Credit Karma and across the AI platforms and agents where members increasingly start. This role sits at the intersection of product, applied AI, and platform strategy. It requires strong product judgment, deep systems thinking, and comfort operating in a space that changes month to month.
You will own the strategy and roadmap for a major area of our AI work, lead cross-functional teams from idea to launch, and work with internal and external partners to turn fast-moving AI capabilities into trustworthy, high-impact member experiences. You will present your area's strategy and results to senior leadership across Credit Karma and Intuit.
Banking services provided by MVB Bank, Inc., Member FDIC
Responsibilities
What you'll do
Own the product strategy for your area. Define and champion a 12 to 18 month vision for AI-powered member experiences, grounded in the member problem and the business plan. You are the visible owner of where your area is headed, not only how it gets there.- Turn AI capabilities into products members trust. Translate evolving AI capabilities, including assistants, agents and agent-callable experiences, into simple, trustworthy products, in the Credit Karma app and wherever members use AI.
- Drive the roadmap from conception to launch. Write clear business cases, requirements and success metrics, prioritize on member need, business impact and feasibility, and ship at a steady cadence while shaping the long-term strategy.
- Build with partners. Work with internal teams and external partners, including AI platforms, to bring Credit Karma's experiences to members wherever they are. Set the agenda, surface trade-offs early, and turn partner conversations into shipped products.
- Set the quality bar. Establish and evolve evaluation frameworks for quality, accuracy, trust, safety and member impact in AI-driven systems.
- Partner deeply with Engineering and Data Science. Inform system design, model selection, experimentation strategy and platform scalability, and make sure AI capabilities are reusable across products.
- Champion responsible AI. Make sure experiences are transparent, reliable and aligned with member trust and regulatory expectations, working closely with Legal, Privacy, Security and Compliance.
- Own the outcomes. Monitor product health and performance, and proactively find ways to improve quality, engagement and business impact.
- Be a visible leader. Communicate strategy, trade-offs and progress clearly to senior and executive leadership, and raise the bar for product craft on the team around you.
Qualifications
What we are looking for
- Experienced product leader: 8+ years of experience building and scaling consumer technology products, including leading a product area end to end.
- AI builder: You have shipped AI/ML or LLM-powered products, and you understand how models and agents work in practice: tool use, connectors, evaluation, and the limits of today's models.
- Strategic and hands-on: You can write and defend a multi-year strategy and go deep on an eval readout, a system design or a spec.
- Comfortable in ambiguity: A track record of leading in emerging, 0 1 spaces and bringing clarity and structure to complex problems.
- Systems thinker: You design capabilities that power multiple products and experiences, not one-off features.
- Owns the outcome: You have carried a quality, growth or business target and delivered it through a sustained cadence of launches.
- Cross-functional operator: You build strong relationships with Engineering, Design, Data Science and partner teams, and influence without direct authority.
- Exceptional communicator: You influence senior leadership, and you bring a point of view rather than deferring to the room.
What we'd love to see
- Experience building products that ship on, or integrate with, other platforms, such as AI assistants, app ecosystems, developer platforms or large partner integrations.
- Experience working directly with external partners on product and commercial terms.
- Experience in consumer fintech or another regulated industry, including consent and privacy questions.
- Hands-on fluency with AI tools in your own work: research, prototyping, specs and analysis.
- A deep appreciation for how consumer finance, and now AI, can meaningfully improve people's lives.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Oakland $188,500 - $255,000
Mountain View, CA $188,500- $255,000
Overview
Intuit Credit Karma, Consumer Group is looking for a Staff Product Manager to help define and scale the AI-powered experiences that help millions of members make smarter financial decisions, both inside Credit Karma and across the AI platforms and agents where members increasingly start. This role sits at the intersection of product, applied AI, and platform strategy. It requires strong product judgment, deep systems thinking, and comfort operating in a space that changes month to month.
You will own the strategy and roadmap for a major area of our AI work, lead cross-functional teams from idea to launch, and work with internal and external partners to turn fast-moving AI capabilities into trustworthy, high-impact member experiences. You will present your area's strategy and results to senior leadership across Credit Karma and Intuit.
Banking services provided by MVB Bank, Inc., Member FDIC
Responsibilities
What you'll do
Own the product strategy for your area. Define and champion a 12 to 18 month vision for AI-powered member experiences, grounded in the member problem and the business plan. You are the visible owner of where your area is headed, not only how it gets there.- Turn AI capabilities into products members trust. Translate evolving AI capabilities, including assistants, agents and agent-callable experiences, into simple, trustworthy products, in the Credit Karma app and wherever members use AI.
- Drive the roadmap from conception to launch. Write clear business cases, requirements and success metrics, prioritize on member need, business impact and feasibility, and ship at a steady cadence while shaping the long-term strategy.
- Build with partners. Work with internal teams and external partners, including AI platforms, to bring Credit Karma's experiences to members wherever they are. Set the agenda, surface trade-offs early, and turn partner conversations into shipped products.
- Set the quality bar. Establish and evolve evaluation frameworks for quality, accuracy, trust, safety and member impact in AI-driven systems.
- Partner deeply with Engineering and Data Science. Inform system design, model selection, experimentation strategy and platform scalability, and make sure AI capabilities are reusable across products.
- Champion responsible AI. Make sure experiences are transparent, reliable and aligned with member trust and regulatory expectations, working closely with Legal, Privacy, Security and Compliance.
- Own the outcomes. Monitor product health and performance, and proactively find ways to improve quality, engagement and business impact.
- Be a visible leader. Communicate strategy, trade-offs and progress clearly to senior and executive leadership, and raise the bar for product craft on the team around you.
Qualifications
What we are looking for
- Experienced product leader: 8+ years of experience building and scaling consumer technology products, including leading a product area end to end.
- AI builder: You have shipped AI/ML or LLM-powered products, and you understand how models and agents work in practice: tool use, connectors, evaluation, and the limits of today's models.
- Strategic and hands-on: You can write and defend a multi-year strategy and go deep on an eval readout, a system design or a spec.
- Comfortable in ambiguity: A track record of leading in emerging, 0 1 spaces and bringing clarity and structure to complex problems.
- Systems thinker: You design capabilities that power multiple products and experiences, not one-off features.
- Owns the outcome: You have carried a quality, growth or business target and delivered it through a sustained cadence of launches.
- Cross-functional operator: You build strong relationships with Engineering, Design, Data Science and partner teams, and influence without direct authority.
- Exceptional communicator: You influence senior leadership, and you bring a point of view rather than deferring to the room.
What we'd love to see
- Experience building products that ship on, or integrate with, other platforms, such as AI assistants, app ecosystems, developer platforms or large partner integrations.
- Experience working directly with external partners on product and commercial terms.
- Experience in consumer fintech or another regulated industry, including consent and privacy questions.
- Hands-on fluency with AI tools in your own work: research, prototyping, specs and analysis.
- A deep appreciation for how consumer finance, and now AI, can meaningfully improve people's lives.
Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender.
Oakland $188,500 - $255,000
Mountain View, CA $188,500- $255,000
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Senior Level Agentic AI Engineer Jobs: Frequently Asked Questions
How do I get a senior level agentic ai engineer job?
Employers at this level expect candidates who have designed and shipped multi-agent systems end-to-end, not just contributed to them. Demonstrable ownership of an agentic architecture in production, experience selecting and tuning large language model orchestration frameworks, and a history of mentoring engineers or leading technical workstreams are the clearest differentiators. A portfolio of concrete outcomes, such as latency improvements or reliability gains, strengthens any application.
Which companies hire senior level agentic ai engineers?
Companies hiring senior level agentic ai engineers right now include Articul8, Radware, and Capital One, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of organizations, including AI-native startups scaling their core product, established technology firms expanding autonomous systems teams, and enterprises modernizing workflows with agentic infrastructure.
Are there remote senior level agentic ai engineer jobs?
Yes, remote availability at the senior level is strong. About 33% of senior level agentic ai engineer openings are remote or hybrid as of November 2026, reflecting the distributed nature of AI engineering teams. Many employers offering remote roles at this level still expect regular synchronous collaboration, particularly for architecture reviews, cross-team planning, and onboarding junior engineers.
What makes a agentic ai engineer role senior level?
A senior level agentic ai engineer role is defined by scope and ownership. Where mid-level engineers implement within defined architectures, senior engineers set the architecture, make framework and tooling decisions, and are accountable for system reliability in production. They are also expected to mentor engineers across the team, contribute to hiring and technical roadmap discussions, and resolve ambiguous problems without close supervision.
Which industries hire the most senior level agentic ai engineers?
Senior Level agentic ai engineer roles concentrate in Technology & Software, Science & Research, and Cybersecurity, based on current listings on Migrate Mate as of November 2026. These sectors drive demand because they are deploying agentic systems to automate complex, high-stakes workflows at scale, which requires senior engineers who can own technical risk and deliver reliable autonomous solutions.