Principal AI/Automation Solutions Architect

This is a fully remote position, open to applicants in Connecticut.

📋 Description

• Act as the main point of contact between AI Platform Engineering and Product Delivery teams.

• Convert platform features into production-ready architectural solutions.

• Gather delivery requirements to shape platform roadmaps.

• Establish, validate, and uphold reusable architectural patterns, reference implementations, accelerators, and solution blueprints.

• Facilitate discovery sessions, architecture workshops, and hands-on prototyping activities.

• Assess opportunities and showcase technical feasibility.

• Transition solutions to delivery teams for production implementation.

• Offer architectural governance through design evaluations, standards enforcement, and advisory services.

• Ensure that solutions meet standards for security, privacy, resilience, scalability, performance, compliance, responsible AI, and enterprise architecture principles.

• Convey architecture decisions, technical trade-offs, platform suggestions, and trends in emerging technologies.

• Guide and mentor engineers and architects throughout the organization.

• Shape solution and platform roadmaps without direct managerial authority.

⛳️ Requirements

• Over 10 years of experience in solution architecture, software engineering, enterprise architecture, or technology consulting.

• More than 9 years of experience in architecting, prototyping, and guiding the delivery of AI, machine learning, automation, or agentic AI solutions.

• At least 8 years of collaboration with platform engineering, product, and delivery teams.

• A minimum of 7 years in designing and governing architectures that include multi-agent orchestration, RAG, GraphRAG, memory frameworks, guardrails, evaluation frameworks, AI governance controls, and LLM integrations.

• Over 5 years of experience leading architecture reviews, technical governance processes, design standards initiatives, or enterprise decision-making forums.

• A strong background in full-stack engineering is preferred.

• Familiarity with Google Vertex AI, Anthropic Claude, Azure AI, AWS AI services, ServiceNow AI, Databricks, and agent orchestration platforms is preferred.

• Knowledge of prompt engineering, context engineering, harness engineering, multi-agent architectures, semantic retrieval, vector databases, GraphRAG, evaluation frameworks, AI observability, model performance optimization, and enterprise AI design patterns is preferred.

• Experience in healthcare, pharmacy, cybersecurity, IT Operations, AIOps, root cause analysis, or regulated enterprise environments is preferred.

• A bachelor’s degree from an accredited institution or equivalent work experience; alternatively, a high school diploma plus 4 years of relevant experience is acceptable.

🏝️ 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.

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