AI Platform Eng/MLOps, LLMOps

Title: AI Engineer - AI Platform

Location: Dallas, TX - Hybrid

Duration: Direct Hire

Salary: $100K - $140K plus Bonus

Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Job Summary:

The AI Engineer is an individual contributor responsible for designing, building, and operationalizing enterprise grade AI solutions in a highly regulated banking environment. This role will execute AI engineering and MLOps/LLMOps, ensuring AI solutions are secure, scalable, auditable, and production ready.

You will work with Senior Engineers to build, and deploy production grade AI systems end to end.

Key skills/experience:

AI Tooling

Cloud Infrastructure engineering

IAM

Key Platform/languages:

Azure

GCP

Databricks

Terraform

Key Accountabilities

• Implement production grade AI services and pipelines (batch and real time) with strong focus on reliability, performance, and operational excellence in the cloud
• Execute, manage and support the packaging and deployment of models and solutions as scalable services (APIs, jobs, agents) with clear SLAs, monitoring, alerting, and runbooks.
• Own complex problem resolution across environments, including production incidents related to AI systems.

• Embed AI governance directly into engineering workflows, including:
• Security and access controls
• Data classification and handling
• Model risk management requirements
• Privacy and consent controls
• Responsible AI principles
• Auditability and regulatory traceability
• Partner closely with Risk, Compliance, Legal, and Architecture teams to ensure AI solutions meet internal and external regulatory expectations.

• Implementation of Generative AI patterns such as Retrieval Augmented Generation (RAG), embeddings, semantic search, and agent workflows.
• Ensure GenAI solutions are grounded in approved data sources, governed access, logging, and retention policies.
• Define evaluation and monitoring approaches for GenAI outputs in regulated use cases.

• Implement automated ML/LLM delivery pipelines covering training, evaluation, approval, deployment, and rollback.
• Implement standards for model versioning, reproducibility, environment isolation, and controlled releases.
• Reduce time to production while increasing safety, repeatability, and governance through automation.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
• 3+ years of experience in cloud engineering, with 3+ years focused on AI/ML systems
• Expert level proficiency in Python, SQL and cloud infrastructure
• Hands on experience deploying AI solutions in cloud environments (Azure and GCP).
• Deep understanding of production concerns: reliability, scalability, observability, cost, and security.
• Experience delivering AI solutions in regulated industries (banking, financial services, insurance, healthcare).
• Strong familiarity with model risk management, audit requirements, and regulatory review processes.
• Hands on experience with enterprise MLOps / LLMOps tooling and platform design.
• Experience designing platform level AI capabilities, not just individual models.

About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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