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Software Engineering Advisor – Forward Deployed Engineer (FDE)
- Louisville, Kentucky, United States
- Louisville, Kentucky, United States
À propos
Drive End-to-End AI Solution Delivery Own full lifecycle delivery of AI solutions—from problem framing through production deployment and adoption—aligned to MDLive business priorities Design and build AI applications using LLMs, RAG architectures, agentic workflows, and hybrid approaches tailored to clinical and operational workflows Translate ambiguous business problems into actionable technical solutions that deliver measurable outcomes Embed with the Business and Deliver Value—Partner directly with MDLive stakeholders to identify high-impact opportunities and rapidly iterate on solutions Operate in a sprint-based model with continuous feedback loops and visible progress toward defined outcomes Make informed technical tradeoffs, adapting scope and approach as business needs evolve Lead Stakeholder Engagement—Serve as the primary technical interface across product, engineering, and business teams Communicate AI capabilities, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences Facilitate collaboration with security, legal, compliance, and data teams to ensure responsible and scalable delivery Mentor peers on practical AI delivery and production readiness Build for Scale and Reuse—Productionize solutions with strong observability, evaluation frameworks, and cost controls Extract repeatable patterns, components, and best practices to accelerate enterprise-wide adoption Document architectures and decisions to enable scalability and knowledge sharing Required Qualifications
5+ years of experience in software engineering, data engineering, or AI/ML engineering with a track record of delivering production systems Hands-on experience building GenAI applications using LLMs, RAG pipelines, or agentic workflows Strong proficiency in Python and experience with at least one additional language (e.g., Java, TypeScript, Go, SQL) Experience working with cloud platforms (AWS, Azure, or GCP), including deployment, observability, and scalable systems Ability to translate business workflows into technical solutions in fast-paced, ambiguous environments Strong communication skills with the ability to engage both technical teams and business leaders Experience working across teams and influencing without direct authority Preferred Qualifications
Experience in healthcare, telehealth, or regulated industries (e.g., insurance, pharmacy, care delivery) Familiarity with HIPAA-aligned practices, responsible AI governance, and model risk management Experience in forward-deployed, solutions engineering, or technical advisory roles Experience with enterprise AI platforms such as Azure OpenAI, AWS Bedrock, or Vertex AI Understanding of responsible AI principles including privacy, bias mitigation, explainability, and human oversight What Success Looks Like
Trusted partner to the MDLive team with sustained and expanded engagement Consistent delivery of high-quality AI solutions that drive measurable business value Strong ownership of workstreams from design through handoff Reusable solutions and patterns adopted across teams Delivery that meets enterprise standards for security, privacy, and responsible AI Internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload if you will be working at home occasionally or permanently. About The Cigna Group
Doing 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. Qualified 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.
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Compétences linguistiques
- English
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