AI Engineer

• Design, develop, and deploy machine learning models and AI-powered applications
• Collaborate with cross-functional teams to identify and implement AI/ML solutions for client needs
• Build and maintain data pipelines, model training workflows, and inference systems
• Evaluate and integrate large language models (LLMs), generative AI tools, and emerging AI frameworks
• Monitor model performance, conduct testing, and iterate on improvements
• Document technical architectures, methodologies, and best practices
• Stay current with AI/ML research and translate advancements into practical applications

• Architect and lead the development of agentic AI systems that automate finance workflows.
• Design and implement multi-agent systems leveraging LLMs and orchestration patterns.
• Translate cutting-edge research into scalable solutions.
• Establish guardrails and responsible AI practices for safe outputs.
• Lead the design of advanced predictive models for customer behavior forecasting.
• Develop interpretable, production-grade models for retention strategies.
• Design scalable AI/ML systems with emphasis on software engineering best practices.
• Establish MLOps best practices for AI systems deployment and governance.
• Set technical direction for AI/ML initiatives across finance.

Principal Applied AI Engineer, Finance

• Apply deep platform knowledge to resolve inbound incidents from end users — including how-to questions, error messages, bugs, and enhancement requests
• Own ticket lifecycle in ServiceNow — intake, categorization, resolution or escalation, and closure documentation
• Identify patterns in ticket volume and surface recurring issues to the product team for upstream fixes or KB updates
• Escalate issues that require engineering intervention with well-documented technical context to accelerate resolution
• Develop and maintain internal technical documentation covering platform behavior, troubleshooting workflows, and support guidance
• Author public-facing self-service content for end users; partner with the Artey team to ensure documentation is integrated and surfaced through the platform
• Calibrate all documentation for the appropriate audience — translating technical detail into clear, actionable guidance for end users and Tier 1 agents where needed
• Partner with the IT Service Center to ensure Level 1 agents have access to the knowledge base content and troubleshooting guidance needed to resolve basic issues
• Develop and deliver targeted training sessions for business units experiencing confusion or low adoption
• Collect user feedback from support interactions and synthesize it into actionable recommendations for the product team
• Partner with the Build team on automation development, feature testing, QA, and deployment validation
• Contribute to documentation and process design for new capabilities as they are developed

Senior Analyst, AI Engineer

Machine Learning Engineer

• Own a Data, AI/ML product portfolio spanning Growth and Pharmacy Store Operations — delivering insights that advance CVS Health's mission of helping people on their path to better health
• Define and drive the technical roadmap, balancing bold innovation with agile delivery, operational stability, and reliability at enterprise scale
• Define and lead our AI roadmap, architecting the strategic shift from general-purpose LLM deployment to intelligent, agentic automation that drives measurable operational and health outcomes across lines of business
• Lead the strategic shift from rule-based process to AI and agent-based orchestration, enabling intelligent, autonomous workflows across CVS Health's lines of business
• Spearhead the adoption and scaling of the Claude Skills Framework — establishing governance, design standards, and reusable patterns that enable consistent, enterprise-wide AI skill development
• Design and oversee modular Claude Skill modules (SKILL.md, YAML metadata, and execution scripts) to automate high-impact business processes including pharmacy reporting, code deployment workflows
• Champion progressive disclosure strategies for LLM context optimization — mapping specialized Claude Skills to targeted triggers to maximize precision, minimize latency, and deliver scalable enterprise value
• Evaluate emerging agentic AI technologies and frameworks, translating innovations into actionable roadmap investments aligned with CVS Health's strategic priorities
• Architect and oversee the end to end development of Data and ML/AI products following CVS security principles.
• Establish engineering standards and best practices across MCP integrations and Claude Skills Framework development — ensuring consistency, reusability, and alignment with CVS Health's security, data governance, and HIPAA compliance requirements
• Lead hands-on architecture reviews, technical design forums, and solution trade-off discussions across Data Science, Engineering, and Technology teams
• Lead end-to-end AI/ML pipeline integrity — from Claude Skills authoring and MCP server deployment through to production monitoring and continuous optimization
• Ensure engineering standards are maintained across the portfolio — covering solution design, security, and Data/AI Ops practices
• Drive agile delivery within CVS Health's Squad model, managing dependencies across a matrixed environment and removing blockers to accelerate delivery
• Coach and grow engineering leaders and senior individual contributors, building a strong internal talent pipeline that reflects CVS Health's commitment to colleague development and inclusion
• Serve as a trusted technology partner to senior stakeholders across Data Science, Business, and Enterprise Technology teams
• Translate complex technical concepts — including agentic AI architectures, MCP integrations, Claude Skills Framework, and LLM optimization strategies — into clear, business-relevant narratives for Executive and non-technical audiences
• Ensure all data interactions and AI-driven workflows operate in strict adherence to CVS Health's enterprise data governance policies, HIPAA requirements, authentication standards, and role-based access controls
• Partner closely with Information Security and Compliance teams to embed governance into every layer of the AI/ML platform.

Lead Director, AI/ML Engineering

AI Research Scientist

• Engage in relevant research and development (R&D) of AI systems, models, and advanced machine learning algorithms that augment physics-driven modeling and simulation systems
• Explore and implement AI-powered simulation tooling in support of AI workflows through reinforcement learning, multi-agent systems, and hybrid modeling approaches
• Collaborate with research, engineering, and product teams to build AI-powered solutions that meet mission-critical modeling and decision-support needs
• Engage in and support the drafting and review of conference and journal articles and presentations, sharing advances with both internal stakeholders and the wider research community.
• Contribute content to technical invention disclosures, including associated narrative, graphics, and engagements in support of patent development
• Perform additional responsibilities (no more than 10% of duties) in support of the company’s technology and product development initiatives.

AI Research Scientist, Applied AI

• Architect the ranking backbone for query understanding and personalization
• Design and build a search autosuggest system
• Develop production-grade Multi-Task Learning
• Own the inference layer for quality optimization
• Advance evaluation practices for long-horizon metrics
• Partner across teams to translate business goals into ranking policies
• Mentor ML engineers in ranking expertise

Senior Machine Learning Engineer II, Search & Recommendations Ranking

• Design, build, and maintain integrations between the Anthropic Claude platform and enterprise systems
• Develop and manage MCP server configurations
• Build and optimize prompt pipelines, agentic workflows, and automations
• Troubleshoot complex technical issues across the AI stack
• Write clean, well-documented code
• Test and iterate on AI workflows

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