AI Architect

Architect Opportunity in Financial Services

AI Solutions Architect

Location(s):

Atlanta: 2300 Windy Ridge Pkwy SE, Suite750, Atlanta, GA 30339

La Vista:12325 Port Grace Blvd, La Vista, NE 68128

Oakdale: 7755 3rd St. N, Oakdale, MN 55128

Scottsdale: 18700 N Hayden Rd, Suite 255, Scottsdale, AZ 85255

St. Petersburg: 877 Executive Center Dr. W, Suite 300, St. Petersburg, FL 33702

Osaic has returned to the office on a hybrid schedule requiring a minimum of 4 days weekly in the office. Applicants should be located at one of our hubs listed above and must be willing to work this schedule.

Role Type: Full-time

Salary: $130,000-$160,000 per year + annual performance-based bonus

Actual compensation offered will be determined individually, based on a number of job-related factors, including location, skills, licensure, experience, and education.

Our competitive compensation is just one component of Osaic's total compensation package. Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days and much more. To view more details of what you can look forward to, visit our careers page:Osaic Benefits.

Summary:

The AI Solutions Architect will design and implement enterprise-grade AI solutions that align with Osaic's strategic objectives. This role focuses on integrating AI capabilities into core applications, ensuring scalability, security, and compliance with architectural standards.

Education Requirements:

Bachelor's degree preferred, high school diploma (or equivalent) in combination with significant experience will be considered in lieu of degree. Minimum of high school diploma or equivalent is required.

Responsibilities:

• Define AI solution architectures for business-critical applications.
• Collaborate with product teams to identify AI use cases and translate them into technical designs.
• Develop and maintain AI model deployment pipelines and automation frameworks.
• Develop integration patterns for AI models within existing platforms.
• Ensure adherence to security, data governance, and compliance requirements.
• Provide technical leadership and mentorship to engineering teams on AI best practices.

Basic Requirements:

• 8+ years in software architecture or engineering, with 3+ years in AI/ML solution design.
• Strong knowledge of cloud platforms (Azure preferred) and AI services.
• Proficiency in Python, containerization (Docker), and orchestration (Kubernetes).
• Experience with machine learning frameworks (TensorFlow, PyTorch) and MLOps pipelines.
• Expertise in API design, microservices, and distributed systems.
• Excellent communication and stakeholder management skills.

Preferred Requirements:

• 3+ years' experience in financial services operations or broker-dealer setting.
• Bachelor's degree in business, Finance or related field is preferred CRM experience / Salesforce experience.
• Completion of FINRA SIE exam.
• FINRA Series 7 license, other FINRA licenses.