Prompt Engineer & AI Applications Lead

Cigna; Madrid; Híbrido; EUR 70.000 - 90.000; Jornada completa

Descripción de la vacante

A leading healthcare company seeks a Prompt Engineer & AI Applications Lead in Madrid. This role involves advancing responsible AI adoption by identifying business use cases and collaborating with stakeholders. The ideal candidate has over 5 years of AI/ML experience, strong communication skills, and a collaborative mindset. You'll design and optimize AI solutions, ensuring compliance and delivering measurable value. This position offers a hybrid work model that accommodates flexible working. Apply now to drive innovation and improve lives.

Servicios

Flexible working hours

Professional development opportunities

Comprehensive healthcare packages

Formación

• 5+ years of relevant experience in AI/ML product work, data-driven solutions, or technical consulting.
• 2+ years of hands-on prompt engineering or demonstrable expertise.
• Practical knowledge of data fundamentals and safe AI patterns.
• Collaborative mindset and experience working across multiple time zones.

Responsabilidades

• Identify and prioritize high-impact AI opportunities across functions.
• Design, test, and optimize prompts and system instructions.
• Co-develop POCs/pilots with vendors and define SLAs.
• Partner with Data/ML Engineering to integrate AI pipelines.

Conocimientos

AI/ML product work

Prompt engineering

Business Relationship Management

Communication

Collaboration across time zones

Educación

Bachelor’s degree in Computer Science, Data/AI, Engineering, or related

Herramientas

Python

SQL

REST APIs

Azure/AWS/GCP

Descripción del empleo

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 [e-mail] for support. Do not email [e-mail] for an update on your application or to provide your resume as you will not receive a response.