Artificial Intelligence Engineer, Specialist
Role details
Job location
Tech stack
Job description
Acentra Health's Product Team is responsible for building, modernizing and maintaining our full Care Management product suite. The AI Engineer is critical to productizing and enhancing the AI Proof of Concepts created by our AI Center of Excellence to create value for the Acentra organization.
You'll build production-grade AI features and services as well as the reusable components behind them. Expect hands-on work with LLMs, RAG, agentic workflows, and healthcare-grade security/observability. You'll collaborate with the AI Center of Excellence, portfolio, data, and platform teams to take solutions from proof of concept to full product suite deployment at scale., * Design & Build: Implement LLM-powered services (RAG/ agents/ classifiers/ extractors), APIs, and microservices with strong reliability, testing, and observability
- Evaluation & Guardrails: Implement offline/online evals, red-team tests, prompt/response guardrails, bias/privacy checks, and cost/latency tracking
- Data & Integration: Connect to internal data platforms and line-of-business apps; build retrieval pipelines, grounding strategies, and prompt construction
- Standards & Practices: Support and implement MLOps/LLMOps practices such as CI/CD pipelines, versioning, monitoring, retraining, and governance
- Operational Readiness: Produce runbooks, SLOs, dashboards, and IaC/CI-CD; partner with InfoSec/Compliance on PHI handling and auditability
- Reuse at the Core: Contribute libraries/templates (RAG starters, agent patterns, eval harnesses) to speed the next build
- Read, understand, and adhere to all corporate policies including policies related to HIPAA and its Privacy and Security Rules
The list of accountabilities is not intended to be all-inclusive and may be expanded to include other education- and experience-related duties that management may deem necessary from time to time.
Requirements
- Bachelors degree in Computer Science, Data Science, or a related field
- 3+ years in software or ML engineering with recent focus on LLM applications
- Strong Python; experience with one or more: Transformers, vector DBs (FAISS/Pinecone/Weaviate), orchestration (LangChain/LlamaIndex), retrieval pipelines
- Cloud & DevOps: AWS services, containers (Docker/K8s), CI/CD (GitHub Actions), observability
- Quality mindset: testing, evals, prompt hygiene, data provenance, and privacy by design, * Master's degree in Computer Science, Data Science, or a related field
- Healthcare/regulated domain experience
- Knowledge of healthcare data standards (HL7, FHIR) and compliance (HIPAA)
- Expertise in Document AI/OCR, model monitoring, and application performance management (APM)
Benefits & conditions
Benefits are a key component of your rewards package. Our benefits are designed to provide you with additional protection, security, and support for both your career and your life away from work. Our benefits include comprehensive health plans, paid time off, retirement savings, corporate wellness, educational assistance, corporate discounts, and more., The pay for this position is listed below.
"Based on our compensation philosophy, an applicant's position placement in the pay range will depend on various considerations, such as years of applicable experience and skill level." Pay Range