AI Engineer III

Vericast; San Antonio (TX); On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Medical

Dental

Vision

401K matching

Flexible PTO

Life insurance

Employee assistance

Pet insurance

Job summary

Vericast is seeking an AI Engineer III to lead hands-on development and delivery of Agentic AI applications across the enterprise. You will guide a team of AI engineers, set engineering standards, and align work with business objectives, collaborating with VP Engineering and Data Strategy on execution strategy.

You will own day-to-day technical delivery, design scalable architectures, and ensure secure, reliable AI systems while mentoring engineers and contractors.

Qualifications

• Bachelor's degree in a technical or numerical field required.
• 8+ years designing software and/or data pipelines.
• 3+ years leading engineers on AI/ML projects.
• Experience with LangGraph, LangChain, RAG chatbots, vector databases, NLP automation, MCP Server, embedding search, and LLM integration.
• Experience with microservices, Kubernetes, OpenShift, AWS and/or Azure, Spring Boot, Node.js, CI/CD.
• Experience with data tools such as Trino, Superset, Starburst SQL Server, ETL, S3, Airflow, Iceberg, PySpark, or Hive is preferred.
• Experience building financial services solutions in big data infra is preferred.

Responsibilities

• Lead design, development, deployment and support of Agentic AI applications across the enterprise.
• Mentor AI Engineers and contractors with code reviews and guidance.
• Architect and implement RAG pipelines, vector databases, and LLM integration.
• Develop MCP Server integrations and tool-use frameworks.
• Translate AI strategy into concrete technical execution plans with leadership.
• Select and integrate AI frameworks ensuring scalability, reliability, and security.
• Establish CI/CD, testing, and responsible AI guardrails.
• Monitor emerging AI trends and assess applicability to initiatives.

Skills

AI engineering leadership

ML frameworks

Cloud platforms

Kubernetes/OpenShift

CI/CD

Regulatory/compliance

Mentorship

Multi-agent systems

Education

Bachelor's Degree in a technical or numerical field

Master's degree preferred

Tools

Kubernetes

OpenShift

AWS

Azure

Spring Boot

Node.js

CI/CD tooling

Trino

Airflow

PySpark

Job description

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

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 [e-mail] To review your rights under Equal Employment Opportunity please visit: www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf

Compensation

$120,000-$120,000 per year

Salary range: $120,000 - $140,000 Annually

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