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

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DatePosted 15 Days Ago bot
The Cigna Group Prompt Engineer & AI Applications Lead
Experience: 5-years
Pattern: full-time
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loacation Bengaluru, India, India
loacation Bengaluru, Ind..........India

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    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 The Cigna Group 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.

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