Prompt Engineer & AI Applications Lead
(Madrid, Spain orBengaluru,India — Hybrid/Flexible)
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.
WhatYou’llDo (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).
Vendor & Partner Management
Assess AI vendors for capability, compliance, total cost of ownership, integration complexity, and roadmap fit.
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).
Stakeholder Enablement & BRM
WhatYou’llBring (Qualifications)
~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.
Bachelor’s degree in a relevant field (Computer Science, Data/AI, Engineering, or related); equivalent experience considered.
Familiarity with evaluation frameworks (e.g., golden datasets, rubric‑based scoring), guardrails/red‑teaming, and observability.
Comfort with one or more languages or tools (Python, SQL, REST APIs, YAML), and with cloud platforms (Azure/AWS/GCP).
Model quality gains (e.g., accuracy, factuality, reduction in hallucination) and experience metrics (latency, cost per task).
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.