06 Sep
|
The Cigna Group
|
Hyderabad
06 Sep
The Cigna Group
Hyderabad
Position Overview
We’re looking for an AI/ML Advisor who will be responsible for accelerating enterprise-scale AI adoption across our platforms and portfolios. This journey requires defining and governing enterprise AI architecture strategy, establishing platform standards, driving portfolio prioritization ROI, and enabling teams through governance, risk management, and scalable operating models. This role requires proven technology leadership with solid hands-on grounding, plus the ability to influence senior stakeholders, steer investment decisions, and enable organization-wide adoption responsibly.
We are seeking a highly skilled and innovative AI/ML Advisor with 11-13 years of experience to join our team. This role is ideal for professionals who combine deep experience across software/AI architecture with strong leadership in Responsible AI/HIPAA-aligned governance, agentic AI reference architectures, RAG-at-scale, and LLMOps quality frameworks. You will be instrumental in shaping AI strategy, building adoption playbooks, enabling teams through coaching and learning programs,
and providing thought leadership through research, benchmarks, and vendor evaluations.
Responsibilities:
- Drive Enterprise AI Architecture Strategy, defining target-state architectures and adoption patterns for AI/GenAI across business domains.
- Lead portfolio prioritization ROI by establishing intake/prioritization frameworks, value measurement approaches, and investment recommendations.
- Establish and enforce Governance Risk practices aligned to HIPAA/Responsible AI, including privacy, security, compliance controls, and escalation pathways.
- Define platform standards vendor strategy, including reference stacks, vendor scans, evaluation criteria, and decision frameworks for enterprise adoption.
- Develop and maintain agentic AI reference architectures, including orchestration patterns, tool-calling standards, autonomy boundaries, and human-in-the-loop controls.
- Lead RAG-at-scale
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