Staff AI Engineer

This is a fully remote position, open to applicants in Connecticut, +5 more states.

📋 Description

• Design, create, and operationalize scalable, secure, and ethical Generative AI solutions across the affiliate business line.

• Develop and deploy advanced machine learning models and algorithms to address complex healthcare challenges.

• Collaborate with data scientists, clinicians, and IT professionals to establish requirements and prioritize machine learning projects.

• Define metrics for model performance and methodologies for evaluation.

• Design and implement scalable machine learning systems, data pipelines, preprocessing, feature engineering, and model training.

• Optimize data pipelines, model training procedures, and infrastructure.

• Present technical insights, findings, and recommendations to both technical and non-technical stakeholders.

• Ensure adherence to data privacy laws, ethical standards, HIPAA, and industry regulations.

• Manage team performance through constructive feedback and formal performance evaluations.

• Assess new machine learning algorithms and methodologies.

• Build and deploy production-grade LLM and GenAI applications utilizing AWS Bedrock and GCP Vertex AI.

• Create cloud-native AI systems employing serverless, event-driven, microservices, and API architectures.

• Architect intelligent AI systems that deliver multi-step reasoning, tool utilization, and workflow orchestration.

• Develop AI agents using Copilot Studio and Power Automate Cloud flows.

• Establish RAG systems and secure document ingestion, embedding, chunking, grounding, and retrieval pipelines.

• Lead model experimentation, fine-tuning, evaluation, deployment, and monitoring.

• Optimize cost, performance, token usage, latency, and scalability.

• Collaborate with product, engineering, data, security, and compliance teams.

• Mentor engineers and contribute reusable patterns, frameworks, and platform accelerators.

⛳️ Requirements

• Over 7 years of experience in large-scale software development.

• A minimum of 5 years in solution architecture or system design.

• At least 5 years of experience building large-scale microservices/APIs using Node.js.

• More than 3 years of hands-on experience with GCP and AWS, including serverless, event-driven, AI/ML, and CI/CD.

• Familiarity with AWS Bedrock, GCP Vertex AI, or similar technologies.

• Excellent communication and leadership abilities.

• Strong experience in Python for AI/ML engineering.

• Proven production experience with agentic AI frameworks.

• Demonstrated production experience with RAG architectures and vector databases.

• Expertise in serverless and event-driven designs in a production setting.

• Experience with Vertex AI’s Generative AI Studio, vector search orchestration, and agent capabilities.

• Practical experience with OpenSearch, Pinecone, FAISS, pgvector, or Milvus.

• Solid understanding of prompt engineering, evaluation, observability, and LLM security patterns.

• Ability to produce clear design documents, architectural diagrams, runbooks, and technical briefs.

• Agile/SAFe experience in large organizations.

• Cloud certifications (AWS/GCP) are preferred.

• Bachelor's degree or equivalent experience (HS diploma + 4 years of relevant experience).

🏝️ Benefits

• CVS Health bonus, commission, or short-term incentive program.

• Award target in the company’s equity award program.

• Medical coverage.

• Dental coverage.

• Vision coverage.

• Paid time off.

• Retirement savings options.

• Wellness programs.

• Additional resources supporting physical, emotional, and financial well-being.