Prompt Engineer & AI Applications Lead

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., * 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.

Do you have experience in SQL?, Do you have a Bachelor's degree?, * ~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.