
Senior Agentic AI Solutions Engineer
Posted 5 hours ago

Posted 5 hours ago
This is a fully remote position, open to applicants in Connecticut.
• Create, develop, and implement production-quality agentic AI and intelligent automation solutions utilizing ServiceNow, Databricks, Google Vertex AI, Azure AI Foundry, and Anthropic Claude.
• Provide AI-driven capabilities for IT Operations and Cybersecurity applications, such as incident triage, alert correlation, workflow orchestration, and operational decision support.
• Oversee the complete solution lifecycle from prototype to production deployment and continuous enhancement.
• Make architectural choices and offer recommendations on technical trade-offs.
• Establish secure-by-design architectures that incorporate AI security measures, data privacy safeguards, prompt injection defenses, resiliency patterns, failover strategies, and graceful degradation approaches.
• Work collaboratively with Architecture, Cybersecurity, Platform Engineering, Product, and Operations teams.
• Mentor interns and contractor resources in technical aspects.
• Manage application architecture, backend services, AI orchestration, data integration, deployment, and operational support.
• A minimum of 5 years in software development, AI/ML, intelligent automation, or full-stack applications, with a track record of handling complex enterprise solutions.
• At least 5 years of experience in designing scalable cloud-native systems while implementing AI governance, security, privacy, access management, resiliency, and operational reliability best practices.
• Over 4 years of experience delivering production-ready automation, agentic AI, or generative AI solutions beyond proof-of-concept and prototype stages.
• More than 3 years of experience in developing Python-based applications, APIs, microservices, and cloud-native services using contemporary software engineering practices.
• At least 2 years of experience in implementing retrieval-augmented generation (RAG), vector search, document ingestion, and large language model integration architectures.
• A Bachelor’s degree from an accredited institution or equivalent work experience.
• Alternatively, a high school diploma plus 4 years of relevant experience.
• Proficiency with ServiceNow, Databricks, Google Vertex AI, Azure AI Foundry, Anthropic Claude, Python, APIs, and cloud-native services.
• Preferred: familiarity with Claude or similar LLMs, tool utilization, function calling, agent orchestration, and multi-step reasoning.
• Preferred: knowledge of RAG architectures, embedding models, vector databases such as pgvector, retrieval optimization, reranking, and semantic search frameworks.
• Preferred: experience with FastAPI, Docker, pytest, Docling or Unstructured, SQL, and ETL pipelines.
• Preferred: background in healthcare, pharmacy, insurance, cybersecurity, AIOps, SecOps, or regulated enterprise environments.
• Preferred: experience with MLOps, LLMOps, CI/CD, Cloud SQL, Cloud Functions, IAM, observability platforms, and production AI operations.
• CVS Health bonus, commission, or short-term incentive program in addition to base salary.
• Medical insurance.
• Dental insurance.
• Vision insurance.
• Paid time off.
• Retirement savings options.
• Wellness programs.
• Additional resources supporting physical, emotional, and financial well-being, based on eligibility.
• A workplace culture that promotes diversity, inclusion, and belonging.
• Support for individuals with military experience and military spouses.
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