Role Description As a AI Agent Engineer (AIAE), specializing in strategic implementations and partnership initiatives at Moveworks, you’ll be responsible for ensuring a successful technical delivery of the Moveworks platform for new customers and initiatives, working alongside Implementation Managers and the broader Partner ecosystem to understand customer requirements, perform discovery, and drive all technical aspects around our post-sales engagements. You are a critical, high-leverage technical individual that operates at the intersection of Customer Success, Product Management, and Engineering. Your primary mission is to translate complex customer business process challenges into innovative, high-impact AI solutions built on our platform. This role provides full-stack ownership of technical success, allowing you to not only deploy capabilities in the current product but also directly influence the product's evolution by ensuring that learnings are folded back into our core platform. Core Responsibilities & Impact - Customer Technical Relationships: Partner deeply with customers throughout the entire delivery lifecycle of AI Agents on the Moveworks Platform: Vision-Lock, Solution Design/Architecture, Building, Tuning, and launch. - Custom Solution Design: Architect, design and consult with customers to develop high-impact technical AI solutions on the Moveworks platform by helping them leverage AI in novel and meaningful ways to solve complex business challenges. - Integration & Implementation: Design and build secure, performant integrations between the Moveworks Platform and customer enterprise systems including ServiceNow, Workday, Okta, Jira, and others. - Strategic Advisory: Serve as a trusted technical advisor, helping customers develop their Agentic AI roadmap and upskilling their teams to operate the platform independently over time. - Product Feedback Loop: Synthesize on-the-ground customer feedback and technical gaps, working directly with Moveworks Engineering and Product teams to influence platform evolution. - Reusability & Knowledge Sharing: Generalize successful customer solutions into reusable templates and share learnings broadly across the team. About You - Customer-First Mindset: You have strong communication and relationship skills, and you're compelled to develop and deliver compelling solution narratives through high-quality artifacts — architecture diagrams, solution proposals, SOWs — tailored to both technical and business audiences. - Technical Mastery: You have a strong grasp of API-based systems integration, LLM-based systems design including prompt engineering, context engineering, and data modeling. - Curiosity & Adaptability: You are a rapid learner with high technical aptitude — equally curious about what's happening under the hood and why a business process works the way it does. - Product Judgment: You have strong product taste and are obsessed with delivering exceptional experiences for end users. - Entrepreneurial Grit: You lean into ambiguity, navigate legacy systems with patience, and actively seek exposure across engineering, product, and business functions. - Accountability: You have a strong sense of personal accountability to both customers and internal teammates who rely on your expertise. Qualifications - 8+ years of experience in a customer-facing technical role — Solutions Engineer, Customer Success Engineer, Solutions Architect, Implementation Consultant, or Consulting Engineer - Demonstrated track record of driving successful technical adoption with mid-to-large enterprise customers - Experience designing, building, and launching full-stack workflows and automations leveraging REST APIs, iPaaS tools (Workato, Azure Functions, AWS Lambdas, ServiceNow Flow Designer), or scripting languages (Python, JavaScript, Golang) - Proven ability to determine methods and procedures on new assignments independently, exercising strong judgment to select the right approaches and drive results across complex, cross-functional problems - Experience leading projects and coordinating other team members, with strong networks across departments and key external stakeholders - Willingness and ability to travel up to 25% of the time - Ability to operate across multiple business functions and technical domains Preferred - Familiarity with enterprise platforms such as ServiceNow, Jira Service Desk, Zendesk, Workday, or Okta - Familiarity with Linux and Windows environments and command line - Current on the latest AI tools, frameworks, and agentic design patterns — and thoughtful about how to apply them to build reliable, scalable solutions Benefits - Base pay of $137,700 - $241,000, plus equity (when applicable), variable/incentive compensation and benefits. - Health plans, including flexible spending accounts. - 401(k) Plan with company match. - ESPP, matching donations. - Flexible time away plan and family leave programs.

• Own the central AI engineering platform • Own the delivery-velocity mandate • Build the AI Harness as a product • Empower developers and agents • Evaluation, quality & security • Enablement & adoption • Organization & leadership

Role Description We are looking for a highly capable Senior Applied AI Engineer to support advanced AI initiatives focused on generative AI, embeddings, and ServiceNow data integration. The focus of this role is the advancement of AI capabilities in the IT Service Management (ITSM) space. You will work closely with data engineering and business teams to deliver scalable, intelligent solutions using Databricks and Azure. Key Responsibilities: - Contribute to software projects emphasizing AI systems in VSCode/Pycharm, GitHub, and Databricks. - Deploy and maintain AI systems across Databricks and Microsoft Azure services such as Azure Kubernetes Service. - Maintain and extend internal APIs, SDKs, and clients that support our projects. - Actively participate in architecting software and cloud solutions. - Communicate clearly with adjacent teams and stakeholders and manage expectations. Qualifications - 3+ years of strong, hands-on experience with Python. - Comfort thinking in terms of engineering systems, not coding scripts. - Familiarity with Databricks (including Unity Catalog, MLflow, and notebooks). - Strong experience with GitHub (commits, pull requests, integrations). - Ability to lead technical walkthroughs and articulate design decisions. - Experience deploying apps, servers, or ML models in a production setting. Requirements - Experience creating CICD workflows in GitHub and/or ADO. - Familiarity with ServiceNow data models. - Familiarity with RAG architecture, vector databases, or agentic orchestration. - Familiarity with developing APIs and clients. Bonus points for MCP experience. - JavaScript familiarity. - Excellent communication skills. Benefits - Competitive medical, dental, and vision benefits. - 401(k) retirement savings plan. - Time off (including paid time off, company and personal holidays, paid parental and caregiver leave). - Short-term and long-term disability. - Life insurance and many other opportunities. Company Description Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it.

• Develops, tests, deploys, and maintains software • Takes on new opportunities and challenges with a sense of urgency, high energy and enthusiasm • Consistently achieves results, even under tough circumstances • Develops test suites (functional, destructive, etc) to enable success, rapid deployment of code to production • Collaborates with other team members in agile processes • Creates new and better ways for the organization to be successful • Works with the Product Team to ensure user stories are valuable, developer ready, easy to understand and testable