• Create and implement automated configuration and deployment processes to enhance the performance, accessibility, and ease of management of the platform and its related services. • Establish and manage administrator and service accounts, while also maintaining accurate system documentation and effectively resolving technical issues. • Utilize scripting tools to craft self-service capabilities within the Platform as a Service (PaaS), fostering a seamless developer experience for development teams. • Collaborate closely with developers to diagnose and troubleshoot problems, ensuring smooth operations. • Take on the operational responsibility for the services under your team's ownership. • Thrive in an environment that nurtures your personal development and growth. • Ability to work "on-call" to support customer needs. • Continuously enhance the product, delivering software that resonates positively with users and meets their needs effectively.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description The Senior AI Platform Engineer is responsible for architecting, building, and maintaining the agentic software execution layer within Lirio’s Precision Nudging Platform. This position bridges the gap between MLOps and autonomous AI orchestration by engineering the workflows for AI agents to operate securely and reliably. - Design and implement infrastructure to support LLM-based autonomous agents capable of multi-step reasoning, planning, and task execution. - Build and manage directed workflows using state machines and tools to coordinate complex AI-human handoffs. - Lead the architectural design and technical implementation of interoperability standards that enable seamless communication between autonomous agents and diverse software ecosystems. - Architect and maintain cloud-native platforms that support end-to-end AI workflows, from model experimentation to high-availability production deployment. - Develop evaluation frameworks and observability dashboards to monitor agent accuracy, latency, cost, and safety guardrails. - Optimize agent performance by managing tool discovery and context window efficiency through standardized protocols. - Embed healthcare regulatory compliance (e.g., HIPAA) directly into the platform layer through automated guardrails and audit trails. - Implement security controls against prompt injection and ensure PII/PHI de-identification within agentic data flows. - Provide subject matter expertise and technical support to engineering teams during implementation. - Build prototypes, reference integrations, or proof-of-concept solutions to validate design decisions and de-risk complex implementations. - Serve as a contributing member of Lirio’s Architecture Team, helping to maintain architectural coherence and platform quality. - Diagnose and respond to issues in the implementation of agent orchestrations, adjusting guardrails and workflows as needed. Qualifications - 3–5+ years of experience in healthcare technology, with a deep understanding of clinical workflows, Electronic Health Record (EHR) integration (e.g., Epic, Cerner), and HL7/FHIR data standards. - Bachelor's degree in related field preferred. - Proven track record of building cloud-native autonomous agent systems in regulated environments. - Extensive experience in LLMOps/MLOps, specifically managing the transition of agentic prototypes into production-grade healthcare applications. - Hands-on experience with LLM APIs, AI coding tools (cursor, co-pilot, claude code, etc.) and orchestrations frameworks. - Strong understanding of compliance requirements in regulated environments (HIPAA/HITRUST). - Ability to design, implement, and maintain complex automation and agent workflows. - Experience with security, audit, and risk mitigation in software delivery. - Expert proficiency in Python (primary for AI) and C# or Java (for enterprise integration). - Hands-on experience with Azure OpenAI Service, Azure AI Agent Service, and Azure Machine Learning (Azure ML). - Proficiency with LangChain, Microsoft Semantic Kernel, and Databricks and/or Snowflake. - Deep hands-on experience with emerging agent communication standards, specifically the Model Context Protocol (MCP). - Advanced skills in Terraform for Infrastructure as Code (IaC), Docker, Kubernetes (AKS), and Azure DevOps (ADO) for CI/CD. - Experience with Pinecone, Weaviate, or Azure AI Search for high-dimensional data retrieval. - Prior work with Model Context Protocol (MCP) or similar integration standards. - Demonstrated ability to lead platform adoption and drive organizational change. Benefits - Medical (HSA available) - Dental - Vision - Short-term & long-term disability (company-paid) - Life & AD&D (company-paid) - 401K with company match - 10 paid holidays, quarterly company closure dates, + holiday week company closure - Flexible time off policy - Work from home - 6 weeks paid parental leave - Salary range: $165k-$185k

• Build and maintain data pipelines and platform components that support SoSafe’s products, analytics, and AI initiatives. • Implement ingestion and serving workflows on AWS, Airflow, and event-driven patterns. • Contribute to platform reliability by working on monitoring, alerting, CI/CD improvements, access management, and infrastructure changes (Terraform). • Apply existing architecture and standards while helping improve data quality and developer experience over time. • Collaborate with Analytics, Product Engineering, and ML teams to deliver reliable datasets, event schemas, and data contracts. • Support internal teams by troubleshooting pipelines, resolving data issues, and operationalizing new use cases. • Participate in code reviews and technical discussions and document solutions for long-term maintainability.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Location: United States, Remote Key Responsibilities: - Advanced Google Cloud Platform (GCP) Architecture Design - Kubernetes and Container Orchestration Mastery - Edge Computing (GDCC) and IoT Solutions on GCP - Build highly reusable and modular Terraform modules for multi-environment infrastructure deployments. - Develop secure and automated CI/CD pipelines using tools like Cloud Build, GitHub Actions, Jenkins, or Spinnaker. - Design and enforce robust Identity and Access Management (IAM) strategies using Workload Identity Federation, OIDC, and RBAC on GCP and GDCC. - Integrate and manage GCP-native services such as Cloud Run, GKE, Cloud Functions, Secret Manager, and Pub/Sub. - Leverage Anthos and GKE Enterprise for managing Kubernetes workloads across distributed environments. - Drive infrastructure observability and logging using Cloud Monitoring, Logging, and Operations Suite. - Collaborate with application, security, and DevOps teams to ensure compliance with cloud security and regulatory standards. - Agile and DevOps Methodologies - Strategic Problem-Solving and Decision-Making - Cross-Functional Team Leadership - Advanced Technical Communication, Documentation, and road map planning - Monitor and optimize cloud performance, cost, and scalability Required Qualifications: - 7+ years in infrastructure architecture, DevOps, or cloud engineering roles. - Deep, hands-on expertise with Terraform (advanced level), including reusable modules, remote state, and workspaces. - Advanced knowledge of Google Cloud Platform (GCP) services and architectural patterns. - Experience with GDCC (Google Distributed Cloud). - Strong understanding of Cloud IAM, RBAC, and Workload Identity Federation for secure authentication across services. - Proficient in Python scripting for infrastructure automation and integration. - Solid background in cloud security, including encryption, firewall policies, VPC design, and service accounts. - Proven experience in building and maintaining CI/CD pipelines using Git-based workflows. - Experience working in Agile/DevOps environments Preferred Qualifications: - Bachelor’s degree in computer science or engineering - GCP and/or AWS Architect Certification (Associate or Professional level). - Experience with Google Distributed Cloud Edge, Hosted, or Connected deployments & GKE. - Knowledge of container security, Kubernetes network policies, and multi-tenant workload design. - Familiarity with SRE practices, infrastructure SLAs/SLOs, and incident response automation. - Experience integrating secrets management, policy enforcement, and compliance monitoring. The base compensation range for this role in the posted location is $94,248 - $191,950 Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.   Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:  - Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave - Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) - Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) - Life and disability insurance - Employee assistance programs - Other benefits as provided by local policy and eligibility Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.   Disclaimers Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law   Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.