{"schemaVersion":"jobsearcher.job.v1","id":"18d0eba8c023fff9b7a63380","url":"https://jobsearcher.com/jobs/18d0eba8c023fff9b7a63380","canonicalUrl":"https://jobsearcher.com/jobs/18d0eba8c023fff9b7a63380","title":"Software Engineering Advisor – Forward Deployed Engineer (FDE)","description":"Join us as a Forward Deployed Engineer (FDE), where you’ll embed directly with our MDLive virtual care team to deliver impactful, production-grade AI solutions that enhance patient and provider experiences. This is a highly visible role where your work directly influences clinical outcomes, operational efficiency, and the future of AI in healthcare. As part of the AI Enablement Office (AIEO), you’ll combine technical depth with business partnership to accelerate responsible, scalable innovation.\n\nWhat You’ll Do\nDrive End-to-End AI Solution Delivery\n\nOwn full lifecycle delivery of AI solutions—from problem framing through production deployment and adoption—aligned to MDLive business priorities\nDesign and build AI applications using LLMs, RAG architectures, agentic workflows, and hybrid approaches tailored to clinical and operational workflows\nTranslate ambiguous business problems into actionable technical solutions that deliver measurable outcomes\nEmbed with the Business and Deliver Value\n\nPartner directly with MDLive stakeholders to identify high-impact opportunities and rapidly iterate on solutions\nOperate in a sprint-based model with continuous feedback loops and visible progress toward defined outcomes\nMake informed technical tradeoffs, adapting scope and approach as business needs evolve\nLead Stakeholder Engagement\n\nServe as the primary technical interface across product, engineering, and business teams\nCommunicate AI capabilities, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences\nFacilitate collaboration with security, legal, compliance, and data teams to ensure responsible and scalable delivery\nMentor peers on practical AI delivery and production readiness\nBuild for Scale and Reuse\n\nProductionize solutions with strong observability, evaluation frameworks, and cost controls\nExtract repeatable patterns, components, and best practices to accelerate enterprise-wide adoption\nDocument architectures and decisions to enable scalability and knowledge sharing\nRequired Qualifications\n\n7 years of experience in software engineering, data engineering, or AI/ML engineering with a track record of delivering production systems\nHands-on experience building GenAI applications using LLMs, RAG pipelines, or agentic workflows\nStrong proficiency in Python and experience with at least one additional language (e.g., Java, TypeScript, Go, SQL)\nExperience working with cloud platforms (AWS, Azure, or GCP), including deployment, observability, and scalable systems\nAbility to translate business workflows into technical solutions in fast-paced, ambiguous environments\nStrong communication skills with the ability to engage both technical teams and business leaders\nExperience working across teams and influencing without direct authority\nPreferred Qualifications\n\nExperience in healthcare, telehealth, or regulated industries (e.g., insurance, pharmacy, care delivery)\nFamiliarity with HIPAA-aligned practices, responsible AI governance, and model risk management\nExperience in forward-deployed, solutions engineering, or technical advisory roles\nExperience with enterprise AI platforms such as Azure OpenAI, AWS Bedrock, or Vertex AI\nUnderstanding of responsible AI principles including privacy, bias mitigation, explainability, and human oversight\nWhat Success Looks Like\n\nTrusted partner to the MDLive team with sustained and expanded engagement\nConsistent delivery of high-quality AI solutions that drive measurable business value\nStrong ownership of workstreams from design through handoff\nReusable solutions and patterns adopted across teams\nDelivery that meets enterprise standards for security, privacy, and responsible AI\nIf you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.\n\nAbout The Cigna Group\n\nDoing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.\n\nQualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.\n\nIf you need a reasonable accommodation to complete the online application process, please emailseeyourselfthecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.\n\nThe Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.\n\nQualified applicants with criminal histories will be considered for employment in a mannerconsistent with all federal, state and local ordinances.","company":"Cigna","rawCompany":"cigna group","city":"Plano","state":"TX","isRemote":false,"isActive":false,"createdAt":"2026-07-30T10:54:06.608Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1211.00","title":"Computer Systems Analysts","slug":"computer-systems-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Software Engineering Advisor – Forward Deployed Engineer (FDE)","description":"Join us as a Forward Deployed Engineer (FDE), where you’ll embed directly with our MDLive virtual care team to deliver impactful, production-grade AI solutions that enhance patient and provider experiences. This is a highly visible role where your work directly influences clinical outcomes, operational efficiency, and the future of AI in healthcare. As part of the AI Enablement Office (AIEO), you’ll combine technical depth with business partnership to accelerate responsible, scalable innovation.\n\nWhat You’ll Do\nDrive End-to-End AI Solution Delivery\n\nOwn full lifecycle delivery of AI solutions—from problem framing through production deployment and adoption—aligned to MDLive business priorities\nDesign and build AI applications using LLMs, RAG architectures, agentic workflows, and hybrid approaches tailored to clinical and operational workflows\nTranslate ambiguous business problems into actionable technical solutions that deliver measurable outcomes\nEmbed with the Business and Deliver Value\n\nPartner directly with MDLive stakeholders to identify high-impact opportunities and rapidly iterate on solutions\nOperate in a sprint-based model with continuous feedback loops and visible progress toward defined outcomes\nMake informed technical tradeoffs, adapting scope and approach as business needs evolve\nLead Stakeholder Engagement\n\nServe as the primary technical interface across product, engineering, and business teams\nCommunicate AI capabilities, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences\nFacilitate collaboration with security, legal, compliance, and data teams to ensure responsible and scalable delivery\nMentor peers on practical AI delivery and production readiness\nBuild for Scale and Reuse\n\nProductionize solutions with strong observability, evaluation frameworks, and cost controls\nExtract repeatable patterns, components, and best practices to accelerate enterprise-wide adoption\nDocument architectures and decisions to enable scalability and knowledge sharing\nRequired Qualifications\n\n7 years of experience in software engineering, data engineering, or AI/ML engineering with a track record of delivering production systems\nHands-on experience building GenAI applications using LLMs, RAG pipelines, or agentic workflows\nStrong proficiency in Python and experience with at least one additional language (e.g., Java, TypeScript, Go, SQL)\nExperience working with cloud platforms (AWS, Azure, or GCP), including deployment, observability, and scalable systems\nAbility to translate business workflows into technical solutions in fast-paced, ambiguous environments\nStrong communication skills with the ability to engage both technical teams and business leaders\nExperience working across teams and influencing without direct authority\nPreferred Qualifications\n\nExperience in healthcare, telehealth, or regulated industries (e.g., insurance, pharmacy, care delivery)\nFamiliarity with HIPAA-aligned practices, responsible AI governance, and model risk management\nExperience in forward-deployed, solutions engineering, or technical advisory roles\nExperience with enterprise AI platforms such as Azure OpenAI, AWS Bedrock, or Vertex AI\nUnderstanding of responsible AI principles including privacy, bias mitigation, explainability, and human oversight\nWhat Success Looks Like\n\nTrusted partner to the MDLive team with sustained and expanded engagement\nConsistent delivery of high-quality AI solutions that drive measurable business value\nStrong ownership of workstreams from design through handoff\nReusable solutions and patterns adopted across teams\nDelivery that meets enterprise standards for security, privacy, and responsible AI\nIf you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.\n\nAbout The Cigna Group\n\nDoing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.\n\nQualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.\n\nIf you need a reasonable accommodation to complete the online application process, please emailseeyourselfthecignagroup.com for assistance. Please note that this email inbox is dedicated to accommodation requests only and cannot provide application updates or accept resumes.\n\nThe Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.\n\nQualified applicants with criminal histories will be considered for employment in a mannerconsistent with all federal, state and local ordinances.","datePosted":"2026-07-30T10:54:06.608Z","dateModified":"2026-07-30T10:54:06.608Z","hiringOrganization":{"@type":"Organization","name":"Cigna","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Plano","addressRegion":"TX","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"18d0eba8c023fff9b7a63380"},"url":"https://jobsearcher.com/jobs/18d0eba8c023fff9b7a63380"}}