AI/ML Solutions Engineer

FCE Benefit Administrators, Inc.; San Antonio (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

FCE Benefit Administrators, Inc. is looking for a driven AI/ML Solutions Engineer in San Antonio. This hybrid position involves implementing Generative AI solutions and collaborating with stakeholders to enhance operational outcomes.

The ideal candidate has 3-5 years of hands-on AI/ML engineering experience, strong Python skills, and familiarity with Google Cloud services. Commitment to compliance with security and risk frameworks is essential.

Qualifications

• 3-5 years of experience in AI/ML engineering or related roles.
• Hands-on experience with Google Cloud Platform (GCP) and its services.
• Strong Python skills and familiarity with ML frameworks.

Responsibilities

• Design and deploy Generative AI solutions using GCP tools.
• Collaborate with stakeholders to translate business needs into AI solutions.
• Implement security and compliance measures for AI systems.

Skills

Google Cloud Platform (GCP)

AI/ML Engineering

Python

Generative AI

Data Science

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field

Tools

Vertex AI

BigQuery

Dataflow

TensorFlow

PyTorch

Job description

Careers

Career Opportunity with FCE Benefits Administrators

FCE is a leading Third Party Administrator (TPA) specializing in health insurance fringe benefits administration. We partner with employers, unions, and trust funds to deliver efficient, compliant, and member-centered benefits solutions.

As we invest in the next generation of our technology platform on Google Cloud, we are seeking a driven AI/ML Solutions Engineer to help harness the power of artificial intelligence—automating complex workflows and deploying intelligent tools that improve outcomes for members, clients, and internal teams. This is a hybrid position within the San Antonio area.

Position Overview

The AI/ML Solutions Engineer will be a hands-on technical contributor and subject matter expert, working closely with the CFO’s office, operations, and business stakeholders.

This is a high-impact, mid-level role for an engineer who is equally comfortable building ML pipelines and translating business needs into production-ready AI systems, with a strong focus on Generative AI and LLM-powered applications in the health insurance and benefits administration domain.

The role also requires adherence to enterprise-grade security, risk, and compliance frameworks, including SOC 1, SOC 2, and CMMC-aligned controls.

Key Responsibilities

Generative AI & LLM Implementation:

• Design, build, and deploy Generative AI solutions using Google Vertex AI, Gemini APIs, and related GCP services.
• Identify and prioritize high-value use cases (e.g., claims summarization, member communications, eligibility Q&A, document processing, knowledge retrieval).
• Implement prompt engineering, RAG (retrieval-augmented generation), and fine-tuning strategies to ensure accuracy in regulated environments.
• Ensure solutions align with responsible AI principles, including explainability, auditability, and HIPAA compliance.
• Incorporate secure prompt handling, data redaction, and model access controls to prevent data leakage and unauthorized use.
• Leverage GCP tools such as Vertex AI Pipelines, BigQuery ML, Dataflow, and Cloud Composer.
• Data encryption (at rest and in transit)
• Identity and Access Management (IAM) with least-privilege access
• Secure API design and service authentication
• Logging, monitoring, and audit trails for all ML systems
• Align infrastructure and workflows with SOC 1 / SOC 2 controls (security, availability, confidentiality) and CMMC practices where applicable
• Partner with security and compliance teams to support audits, evidence collection, and control validation

Business Stakeholder Collaboration:

• Partner with finance, operations, and leadership to identify AI opportunities that reduce administrative burden and improve outcomes.
• Translate business problems into well-defined AI/ML solutions.
• Communicate technical concepts clearly to non-technical stakeholders.
• Serve as an internal advocate for AI/ML adoption, secure development practices, and responsible AI governance.

Qualifications

Required Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or related field.
• 3-5 years of experience in AI/ML engineering, data science, or related roles.
• Hands‑on experience with Google Cloud Platform (GCP), including Vertex AI, BigQuery, Dataflow, and Cloud Functions.
• Experience with Generative AI / LLMs, prompt engineering, and RAG pipelines.
• Strong Python skills and experience with ML frameworks (TensorFlow, PyTorch, scikit‑learn, XGBoost).
• Working knowledge of cloud security best practices, including IAM, encryption, secrets management, and secure SDLC.

Preferred Qualifications:

• Experience supporting or operating within SOC 1 and SOC 2 compliant environments.
• Familiarity with CMMC (Cybersecurity Maturity Model Certification) practices and control frameworks.
• Relevant certifications such as:
  • Certified Information Systems Security Professional (CISSP)
  • Certified Cloud Security Professional (CCSP)
  • CompTIA Security+
  • Google Professional Cloud Security Engineer
  • CMMC‑related training or certification
• Experience in healthcare, insurance, TPA operations, or other regulated environments
• Familiarity with HIPAA and privacy‑preserving ML techniques
• Experience with claims, eligibility, or benefits data
• Experience building internal AI tools (chatbots, document Q&A systems, automation agents)
• Data warehousing (BigQuery, Snowflake)
• Data cleaning, transformation, and feature engineering

It is FCE Benefit’s policy to provide equal opportunity employment for all qualified applicants and employees. FCE does not unlawfully discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), national origin, ancestry, age, physical or mental disability, legally protected medical condition, family care status, veteran status, marital status, sexual orientation, or any other basis protected by state or federal law or local ordinance. This applies to all areas of employment including recruitment, hiring, training, promotion, compensation, benefits, transfer, and social and recreational programs.