AI Engineer III
Company websitevericast.com (Vericast, opens in new tab)
Base salary $120K to $140K
Employer-published annual base salary, USD. Advertised base range in San Antonio, TX
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Antonio, TX
- WorkplaceRemote
- Status at last checkSource accepting applications when checked
- Last checked (1 h ago) · observed since
About this job
Company Description
Vericast is the financial institution (FI) performance partner. We help banks and credit unions drive growth, improve efficiency, increase engagement and navigate change through the power of data, technology and people. Our advanced analytics, data-driven insights and integrated solution set enable better execution with agility, precision and scale. That’s why thousands of financial institutions look to Vericast and our 150 years of financial services expertise to help them achieve more.
Job Description
The AI Engineer III is a senior hands-on technical role responsible for the hands-on development, delivery and support of Agentic AI applications across the enterprise. This individual will serve as the technical lead for a team of AI Engineers, setting engineering standards, collaborating in architecting agentic solutions, and ensuring AI systems are built reliably, securely, and in alignment with business objectives. The role partners closely with the VP Engineering and Data Strategy on execution strategy while owning day-to-day technical delivery and support.
Key Duties/Responsibilities
- Serve as hands-on technical lead for the design, development, deployment and support of Agentic AI applications, including multi-agent workflows and orchestration (25%)
- Hands-on technical coloration, code review, support and mentorship to AI Engineers and contractors on the team (15%)
- Architect and implement RAG pipelines, vector search, embedding-based retrieval, and LLM integration patterns for production use cases (15%)
- Design and build MCP Server integrations and tool-use frameworks to extend agentic application capabilities (10%)
- Collaborate with the VP Engineering and Data Strategy and cross-functional stakeholders to translate AI strategy and roadmap into technical execution plans (10%)
- Own selection and integration of AI frameworks and platforms, ensuring scalability, reliability, and security of deployed solutions (10%)
- Establish and enforce engineering best practices, including CI/CD, testing, and responsible AI guardrails for agentic systems (10%)
- Monitor emerging AI engineering trends, tools, and techniques and assess applicability to current initiatives (5%)
Qualifications
Education
- Bachelor's Degree in a technical or numerical field (Required). Master's degree preferred.
Experience
- 8+ years' experience designing and developing software applications and/or data engineering pipelines
- 3+ years' experience leading or providing technical directions to engineers on application or AI/ML delivery teams
- Experience in LangGraph, LangChain, RAG chatbots, vector databases, NLP-based automation, MCP Server development, embedding-based search, and LLM integration is required
- Experience in microservices architecture, Kubernetes, OpenShift, AWS and/or Azure, Spring Boot, Node.js, CI/CD, and DevOps automation is required
- Experience with Trino, Superset, Starburst SQL Server, ETL tools, S3, Airflow, Iceberg, PySpark, or Hive preferred
- Experience building financial services solutions in big data infrastructure preferred
Knowledge/Skills/Abilities
- Strong hands-on expertise in machine learning frameworks, agentic AI architecture, and cloud computing platforms
- Proven ability to lead technical delivery and mentor engineers in a fast-paced environment
- Strong communication and facilitation skills; able to translate business requirements into technical designs
- Working understanding of AI ethics, data privacy, and regulatory considerations relevant to AI systems
Industry Certifications (Preferred)
- AWS Certified Machine Learning Engineer - Associate (MLA-C01) or AWS Certified AI Practitioner
- Microsoft Certified: Azure AI Engineer Associate (AI-102)
- Google Cloud Professional Machine Learning Engineer
- NVIDIA AI/Deep Learning certification (e.g., NVIDIA Certified Associate: AI Infrastructure)
- Databricks Machine Learning Associate
Additional Information
Salary range: $120,000 - $140,000 Annually
Applications will be accepted through November 13, 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.
All team members are responsible for demonstrating the company's Core Values at all times and for using Performance Excellence principles to continuously improve effectiveness, efficiency, products, and services. This includes, but is not limited to, participating on improvement teams, recommending and implementing improvement ideas, and participating in training and other activities to keep up to date on processes, information, etc.
All team members are responsible for supporting and complying with internal and external audits, to include providing information, performing assigned tasks to ensure compliance, and preparing and maintaining evidence that key duties identified as internal controls have been performed.
All team members are responsible for supporting and complying with safety and security policies to promote a healthy working environment.
Vericast offers a generous total rewards benefits package that includes medical, dental and vision coverage, 401K matching and flexible PTO. A wide variety of additional benefits like life insurance, employee assistance and pet insurance are also available, not to mention smart and friendly coworkers!
At Vericast, we don’t just accept differences - we celebrate them, we support them, and we thrive on them for the benefit of our employees, our clients, and our community. As 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 [email protected] To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf
Source: Vericast on SmartRecruiters · View original posting (opens in new tab)
Pay in context
This role's base floor ($120,000) is above 11% of the 3,622 Data & ML roles nationwide listed on this site; 63 others list the same floor. Their median floor is $170,000; the middle half runs from $138,000 to $200,000.
Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.
This listingAI Engineer III$120K to $140K
Account Executive IV$116K to $142K
Senior Data Engineer$130K to $150K
GTM & Growth Marketing Manager$100K to $120K
Senior Principal - Bank & Credit Union Marketing (Remote)$170K to $185K
Principal Data Scientist - Advanced Analytics$170K to $200K
VP of Strategy$200K to $225K
Chart as a table
| Role | Published base |
|---|---|
| AI Engineer III (this listing) | $120K - $140K |
| Account Executive IV | $116K - $142K |
| Senior Data Engineer | $130K - $150K |
| GTM & Growth Marketing Manager | $100K - $120K |
| Senior Principal - Bank & Credit Union Marketing (Remote) | $170K - $185K |
| Principal Data Scientist - Advanced Analytics | $170K - $200K |
| VP of Strategy | $200K - $225K |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-14
Where this pay comes from
Location as the employer wrote it: San Antonio, TX, United States (remote)
Salary range: $120,000 - $140,000 Annually
- Method
- Employer text, read with fixed rules and re-verified
- Checked
- Rule set
- us-base-v2
The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
