Director of Artificial Intelligence (AI) Hybrid in San Antonio

This is a hybrid position. We are looking for candidates who are comfortable and available to come in to our office at 15955 La Cantera Pkwy San Antonio TX 78256 2-3 days per week. Mondays and Fridays are work from home.

The Director of Artificial Intelligence (AI) is a senior leadership role responsible for developing and executing the organizations AI vision and strategy. This individual will oversee the design deployment and management of AI solutions across the enterprise ensuring alignment with business objectives ethical standards and technological best practices. The Director will lead cross-functional teams collaborate with stakeholders and drive innovation in the field of AI to deliver impactful and scalable results.

KEY DUTIES/RESPONSIBILITIES
Lead the design development and deployment of AI and machine learning solutions to optimize business processes and enhance products and services (30%)
Build mentor and manage a high-performing team of AI engineers ML Ops Engineers and Researchers (20%)
Collaborate in developing and implementing the overall AI strategy roadmap and governance for the organization (10%)
Collaborate with executive leadership and business units to identify opportunities for AI-driven innovation and efficiency (10%)
Oversee the selection and integration of AI technologies and platforms ensuring scalability reliability and security (10%)
Help establish ethical guidelines and best practices for responsible AI development and deployment (5%)
Monitor emerging trends technologies and regulatory developments in AI and assess their impact on the organization (5%)
Manage partnerships with academic institutions industry leaders and technology vendors to advance the organizations AI capabilities (5%)
Drive thought leadership through presentations publications and participation in industry forums
(5%)

Qualifications :

EDUCATION

Bachelors Degree (Required). MS degree preferred.
Degree in a technical or numerical field with 5 years of experience in Banking FinTech or
Marketing.

EXPERIENCE
15 years experience designing and developing various Applications and/or Data Engineering
pipelines.
5 years experience in leading Data engineers and App Developers and building Financial Services
Solutions in big data infrastructure.
Experience in LangGraph LangChain RAG Chatbots Vector Databases NLP-based automation
MCP Server Development Embedding-based Search LLM Integration is required.
Experience in Microservices Architecture Kubernetes OpenShift AWS and/or Azure Spring Boot
CI/CD DevOps Automation Cloud-Native Design is required.
Experience using Trino Superset Starburst SQL Server ETL Tools S3 Airflow Iceberg
PySpark Hive preferred.
Publications or patents in AI-related areas preferred.
Experience in Data Modeling DB capacity/growth planning and SQL performance tuning.
Experience working in a global or multi-site environment.

KNOWLEDGE/SKILLS/ABILITIES
Strong track record of developing and deploying AI solutions in a business setting. Expertise in
machine learning frameworks big data analytics and cloud computing platforms.
Excellent leadership communication and interpersonal skills.
Proven ability to manage complex projects and cross-functional teams.
In-depth understanding of AI ethics privacy and regulatory considerations.
Experience with budget management vendor negotiations and strategic planning.

COMMUNICATION AND CONTACTS
This position works closely with IT and marketing counterparts (e.g. Managers and Directors of
Solutions and Strategy Director of Product Marketing and team members with the Client
Management and Operations divisions). This position collaborates closely with internal leadership
(VPs and SVPs in Technology and Marketing Solutions) stakeholders and external clients/vendors.
S/He will also work closely with Sales to ensure that Marketing Solutions capabilities are
understood and accurately and frequently communicated.

DECISION MAKING
Responsible for managing a team of AI/ML Engineers and Contractors to execute multiple AI ML
projects concurrently. Use judgment to identify prioritize structure and solve complex business problems.

Additional Information :

Base salary: $175000-$200000

Position is eligible for an annual bonus incentive program.

*Applications will be accepted through January 4 2026 after which the posting will be closed and no longer available for submissions.*

The ultimate compensation offered for the position will depend upon several factors such as skill level cost of living experience and responsibilities.

At Vericast we dont just accept differences - we celebrate them we support them and we thrive on them for the benefit of our employees our clients and our an Equal Opportunity employer Vericast considers applicants for all positions without regard to race color creed religion national origin or ancestry sex sexual orientation gender identity age disability genetic information veteran status or any other classifications protected by law. Applicants who have disabilities may request that accommodations be made in order to complete the selection process by contacting our Talent Acquisition team at . EEO is the law. To review your rights under Equal Employment Opportunity please visit: #LI-REMOTE

Remote Work :

Yes

Employment Type :

Full-time