AI​/ML Solutions Engineer

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.

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.

• 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, Big Query 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

• 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.

• 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,
  Big Query
  , Dataflow, and Cloud Functions.
• Experience with Generative AI / LLMs
  , prompt engineering, and RAG pipelines.
• Strong Python skills and experience with ML frameworks (Tensor Flow, PyTorch, scikit‑learn, XGBoost).
• Working knowledge of cloud security best practices
  , including IAM, encryption, secrets management, and secure SDLC.

• 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,…