Senior Level AI Lead Jobs
Senior level ai lead jobs put experienced practitioners in charge of AI strategy, model development at scale, and the cross-functional teams that deliver production systems. Roles are concentrated across Technology & Software, Insurance, and Accounting & Auditing, with a mix of on-site, hybrid, and remote opportunities, and employers like CVS Health, Distyl, and EY hiring at this level now.
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JOB DESCRIPTION: Job Requirements JD: Lead FDE - Contact Center
As an AI Lead Architect, you will be in charge of designing and implementing AI capabilities for Enterprise level applications. You will work closely with Cloud and Machine Learning engineers, as well as the CRM development team to ensure the proper integration of AI technologies into the platform. You will be responsible for the strategy, design, implementation, and maintenance of AI solutions. As a highly qualified individual with proven experience you will be architecting and deploying enterprise-scale cloud platforms and solutions on GCP. This role requires a highly skilled professional with a deep understanding of AI technologies and the ability to collaborate effectively with a diverse team.
Responsibilities
- Design and develop AI applications and infrastructure.
- Consult external customers on tech and solutions, scope engagements, own timeline & acceptance criteria, coordinate team, maintain onboarding-to-handoff playbook.
- Collaborate with Cloud and Machine Learning engineers, as well as the development team to ensure seamless integration of AI technologies.
- Stay current with the latest AI trends and technologies, especially Google GCP.
- Create and maintain AI models and algorithms.
- Conduct AI research to improve existing systems and develop new technologies.
- Identify opportunities for AI solutions within the organization and propose strategic plans.
- Train team members and stakeholders on AI and its applications.
- Ensure compliance with data privacy regulations in AI applications.
- Monitor the performance of AI systems and make necessary adjustments.
BASIC QUALIFICATIONS
- 4 year bachelor’s degree in Computer Science, Information Technology, Computer Engineering from a recognized university or equivalent experience with a specialization in Data Science.
- Proven experience as an AI Architect or similar role in the industry.
- Strong knowledge of AI technologies, specifically Google GCP.
- Understanding of data structures, data modeling, and software architecture.
- Ability to work collaboratively with a diverse team of engineers and developers.
- Strong communication and project management skills.
PREFERRED QUALIFICATIONS
- Knowledge of data privacy regulations and practices.
- Experience in training team members on AI technologies and applications.
- Strong problem-solving skills and the ability to think strategically.
WORK EXPERIENCE
10-15 Years
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Who's Hiring
- CVS Health17

- Distyl5

- EY4

- Google4

- Humana3

Top Industries Hiring
- Technology & Software28
- Insurance19
- Accounting & Auditing5
- Banking & Financial Services5
- Consulting & Professional Services5
Senior Level AI Lead Jobs: Frequently Asked Questions
How do I get a senior level ai lead job?
Employers at this level want candidates who have owned AI initiatives end-to-end, from scoping and architecture through deployment and business impact. Demonstrating that you've led teams, navigated ambiguity, and translated model performance into measurable outcomes matters more than credentials alone. A portfolio of production systems and evidence of mentoring junior engineers will consistently set you apart.
Which companies hire senior level ai leads?
Companies hiring senior level ai leads right now include CVS Health, Distyl, and EY, based on current listings on Migrate Mate as of November 2026. Hiring at this level comes from a wide range of employers, including large technology firms, enterprise software companies, and organizations building AI-native products across industries.
Are there remote senior level ai lead jobs?
Yes, though availability varies by employer and team structure. About 41% of senior level ai lead openings are remote or hybrid as of November 2026, reflecting strong demand for experienced AI professionals who can lead distributed teams. On-site roles do exist, particularly at companies with sensitive infrastructure or early-stage labs that prioritize in-person collaboration.
What makes an ai lead role senior level?
Senior level ai lead roles are defined by scope and ownership. You're expected to set technical direction rather than execute someone else's roadmap, make architectural decisions that affect the entire system, and mentor engineers across the team. The role typically involves coordinating across product, data, and engineering functions and being accountable for outcomes, not just deliverables.
Which industries hire the most senior level ai leads?
Senior Level ai lead roles concentrate in Technology & Software, Insurance, and Accounting & Auditing, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they are actively building or scaling AI-powered products, automating complex workflows, or competing on model performance as a core business differentiator.