• Provide technical leadership to engineers and designers delivering protection, control, and metering systems for high-voltage substations • Serve as Technical Lead on assigned projects, guiding designs from conceptual planning through construction and commissioning • Develop and review protection planning and application documents • Develop and review one-lines, schematics, panel layouts, and wiring diagrams • Perform protection coordination studies and relay settings for utility transmission systems • Lead engineering design reviews, factory acceptance testing, and field inspections • Support construction, outage planning, and commissioning activities • Participate in client technical, Safety by Design, and constructability review meetings • Prepare or review project scopes, feasibility studies, estimates, and definition-phase deliverables • Collaborate with the Business Development team on proposals and estimates • Act as a technical point of contact for clients and external partners • Mentor and develop junior engineers while contributing to continuous improvement of P&C standards and practices

• Support Oracle Cloud EPM applications (FCCS and EPBCS) • Primarily responsible for support and enhancements relating to all functionality within EPM including metadata, calculation scripts, business rules, web forms, SmartView, and security • Primarily responsible for supporting the Oracle cloud EPM data integrations and related activities from Oracle cloud Fusion ERP environment • Develop and support data integrations (ETL) leveraging DM scripts, EPM automate scripts, and batch scripting. • Works with the business community on new systems enablement, configuration, and administration functions • Provide advisory to FP&A and finance teams on system solution designs, enhancements, and transformations • A proven resource in defining systems strategy, developing systems requirements, designing, and prototyping, testing, training, defining support procedures, and implementing practical business solutions under multiple deadlines • Understand how assigned applications/systems link with other programs/processes along with the overall system architecture and provide recommendations on how to improve existing/proposed processes. • Provide end-user support & support the monthly application maintenance & patching process. • Adhere to company change management practices, data security policies, and procedures. • Manage multiple tasks simultaneously, prioritize workload effectively, be willing to work outside of normal work hours, and thrive in a dynamic environment.

We’re building a world of health around every individual — shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger – helping to simplify health care one person, one family and one community at a time. Position Summary We are seeking a Senior Full Stack Developer with demonstrated experience building AI/ML-powered applications and a strong interest in network automation to join our Network Transformation and Automation AI team. In this role, you'll design and develop intelligent web applications that leverage modern AI capabilities while gradually expanding into network automation and infrastructure optimization. Responsibilities include: - Design and build scalable full‑stack and automation applications using modern frameworks (React, Angular, Node.js, Python) with a focus on performance, security, and reliability - Develop and operationalize AI/ML models to enhance network performance, predict issues, and detect anomalies before they impact operations - Create intelligent chatbots and conversational AI solutions (OpenAI, Azure AI, Dialogflow) to automate network support, incident resolution, and knowledge retrieval - Lead network automation and data engineering efforts by integrating APIs, orchestrating workflows (Ansible, Terraform, Cisco NSO), and transforming telemetry data into actionable insights - Enable end‑to‑end DevOps and cross‑functional collaboration by implementing CI/CD pipelines, containerizing applications (Docker, Kubernetes), and partnering across Network, Cloud, AI, and Security teams to drive innovation Required Qualifications - 7+ years of professional software development experience using Python, JavaScript/TypeScript - 2+ years integrating ML models into production applications (not just training models in notebooks) using frameworks like TensorFlow, PyTorch or Scikit-learn - Proven track record delivering scalable web applications in production environments - 2+ years hands-on experience with at least one major cloud platform: AWS, Azure, or GCP - 2+ years experience with SQL databases (PostgreSQL, MySQL, or similar) and NoSQL databases (MongoDB, Redis, or DynamoDB) Preferred Qualifications - Experience building conversational AI solutions, including chatbots, LLMs, prompt engineering, RAG pipelines, and working with vector databases - Background in MLOps practices such as model versioning, monitoring, and experiment tracking using tools like MLflow or Weights & Biases - Understanding of networking fundamentals and hands‑on exposure to network automation tools, Cisco technologies, or infrastructure‑as‑code frameworks - Proficiency with modern technical tools and frameworks, including testing libraries (pytest, Jest), Kubernetes, data pipelines (Airflow, Kafka), and real‑time application technologies - Familiarity with monitoring and observability platforms such as Grafana, Prometheus, ELK stack, or Datadog Education - Bachelor’s degree in Computer Science or related field, or equivalent experience (HS diploma + 4 years relevant experience) Pay Range The typical pay range for this role is: $118,450.00 - $260,590.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company’s equity award program. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits – investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: - Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. - No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. - Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 03/25/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

• Design multi-step AI agents that don't just "talk" but take action , integrating external tools and APIs to resolve complex user requests end-to-end. • Write and maintain structured system prompts that keep model behavior predictable and within expected boundaries. • Develop and tune retrieval pipelines using vector search, reranking, and contextual compression to keep responses accurate and grounded. • Setting up observability and evaluation infrastructure to monitor for bias, latency spikes, and cost-per-request. • Identify and mitigate risks like prompt injection and context manipulation as part of normal engineering practice — not an afterthought. • Stay current on LLM techniques and actively contribute to the team's shared knowledge.