Prompt Engineer & AI Applications Lead  job opportunity at The Cigna Group.



DateMore Than 30 Days Ago bot
The Cigna Group Prompt Engineer & AI Applications Lead 
Experience: 5-years
Pattern: full-time
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loacation Madrid, Spain, Spain
loacation Madrid, Spain....Spain

Prompt Engineer & AI Applications Lead   (Madrid, Spain or   Bengaluru,   India — Hybrid/Flexible)   About the Role   Cigna is accelerating responsible AI adoption across the enterprise.   We’re   seeking a   Prompt Engineer & AI Applications Lead   to partner with product, data, engineering, and business stakeholders to discover, evaluate, and scale AI use cases—while ensuring safety, compliance, and measurable value. This role blends hands‑on prompt design with business relationship management and vendor collaboration to drive outcomes across multiple time zones.   What   You’ll   Do (Key Responsibilities)   AI Use Case Discovery & Shaping   Identify , qualify, and prioritize high‑impact AI opportunities across functions (operations, clinical, customer support, finance , IT ).   Facilitate discovery workshops to define problem statements, success metrics, guardrails, and adoption plans.   Translate business needs into AI solution patterns (e.g., retrieval‑augmented generation, summarization, classification, extraction, assistants/agents).   Prompt Engineering & Experimentation   Design, test, and   optimize   prompts, chains, and system instructions for performance, safety, and reliability across multiple LLMs and tools.   Develop prompt evaluation frameworks (A/B tests, golden sets, bias & hallucination checks, cost/latency tracking).   Create reusable prompt templates, style guides, and prompt libraries for enterprise use.   Vendor & Partner Management   Assess AI vendors for capability, compliance, total cost of ownership, integration complexity, and roadmap fit.   Co‑develop POCs/pilots with vendors; define SLAs, acceptance criteria, and transition plans to scale or sunset.   Coordinate security, privacy, legal, and procurement reviews; document decisions and risks.   Solution Delivery & Governance   Partner with Data/ML Engineering to integrate RAG pipelines, guardrails, and observability (prompt logs, red‑teaming results, monitoring).   Ensure adherence to responsible AI, data privacy, and healthcare compliance requirements (e.g., PHI handling, HIPAA‑aligned processes in consultation with compliance teams).   Contribute to model cards, risk assessments, and human‑in‑the‑loop controls.   Stakeholder Enablement & BRM   Serve as a trusted advisor to business leaders—clarify value cases, manage expectations, and align roadmaps and budgets.   Build enablement materials (playbooks, demos, FAQs) and deliver training for non‑technical and technical audiences.   Communicate progress, risks, and ROI via clear narratives and dashboards.   What   You’ll   Bring (Qualifications)   Must‑Have   ~5+ years   of relevant experience in AI/ML product work, data‑driven solutions, or technical consulting, with at least   2+ years hands‑on prompt engineering   (or   demonstrable   expertise ).   Business Relationship Management (BRM)   experience: stakeholder alignment, requirements shaping, roadmap facilitation, and value realization.   Proficiency   with   LLMs and tooling   (e.g., prompt design, few‑shot techniques, function calling/tools, vector search/RAG, evaluation methods).   Practical knowledge of   data fundamentals   (data quality, governance, metadata, PII/PHI concepts) and safe AI patterns.   Strong communication : can translate complex AI concepts for executives and non‑technical teams; excellent storytelling and documentation.   Collaborative mindset   and experience working   across multiple time zones   and cross‑functional teams.   Bachelor’s degree in a relevant field (Computer Science, Data/AI, Engineering, or related); equivalent experience considered.   Location:   Madrid,   Spain   or   India   (major hubs such as Bengaluru/Hyderabad/Pune preferred; flexible).   Nice‑to‑Have   Experience in   healthcare/insurance   processes and analytics.   Familiarity with   evaluation frameworks   (e.g., golden datasets, rubric‑based scoring),   guardrails/red‑teaming , and   observability .   Exposure to   MLOps / LangChain /LlamaIndex , vector databases, and API integration patterns.   Practical understanding of   responsible AI   principles and risk controls; experience partnering with   Legal/Privacy/Compliance .   Comfort with one or more languages or tools (Python, SQL, REST APIs, YAML), and with cloud platforms (Azure/AWS/GCP).   Success Metrics (KPIs)   Validated use cases discovered   per quarter and percent advancing from POC → Pilot → Scale.   Model quality gains   (e.g., accuracy, factuality, reduction in hallucination) and   experience metrics   (latency, cost per task).   Risk reduction   (guardrail coverage, incident rate, red‑team findings addressed).   Stakeholder satisfaction   (NPS/CSAT) and   enablement   reach   (teams trained, assets reused).   Vendor outcomes   (SLA adherence, value realization, cost savings/avoidance).   Ways of Working   Hybrid work with core collaboration hours overlapping   European and India time zones ; occasional evening/morning meetings to align with global teams.   Limited travel for workshops or vendor evaluations as needed.   Partner closely with Product Owners, Data/ML Engineering, Architecture, Security, Privacy, Legal, and Procurement.     About Cigna Healthcare Cigna Healthcare, a division of The Cigna Group, is an advocate for better health through every stage of life. We guide our customers through the health care system, empowering them with the information and insight they need to make the best choices for improving their health and vitality. 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. If you require reasonable accommodation in completing the online application process, please email: SeeYourselfEMEA@cigna.com for support. Do not email SeeYourselfEMEA@cigna.com for an update on your application or to provide your resume as you will not receive a response.

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