MCG Health

LLM Engineer

• Act as principal advisor on GenAI strategy, architecture, and governance; lead the application of existing principles and develops new approaches where needed.
• Tackle ambiguous, high-impact problems with long-term horizons; decisions affect multiple functions and strategic objectives.
• Exercise broad autonomy in determining objectives and approaches; build formal networks with key decision makers; serve as an internal spokesperson and thought leader.
• Own the multi-year GenAI strategy and roadmap for operational systems; translate strategic goals into a prioritized portfolio with clear ROI.
• Lead the design, build, and productization of agentic AI systems, progressing from assistive AI to supervised autonomous domain agents grounded on trusted data and orchestrating cross-system actions
• Architect reference patterns for RAG, agentic workflows, and copilots integrated with systems like Salesforce (CRM), Gainsight (Customer success operations), and Marketo (Marketing automation)
• Lead end-to-end execution—from problem framing and data contracts through deployment, observability, and continuous improvement—while influencing executive stakeholders and setting cross-org standards
• Establish and govern GenAI platform foundations: orchestration, evaluation harnesses, vector search, prompt/version management, A/B testing, telemetry, and quality/cost/latency guardrails.
• Define model strategy (open-source and proprietary), safety controls, PII handling, and responsible AI practices aligned to security, privacy, and regulatory requirements.
• Set engineering standards and LLMOps practices (CI/CD, canarying, rollback, red-teaming, data governance, incident response) adopted across functions.
• Partner with Sales Operations, Contracts, Finance, Licensing, Education & Support, Marketing, Account Management, and Business Systems to turn manual, error prone work into automated, reliable workflows.
• Educate and enable teams, both technical and non-technical, on leveraging AI solutions to improve operational effectiveness, fostering adoption and comfort with new technologies.
• Fine-tune language models and other AI capabilities to address organization-specific needs for custom use cases
• Create full-stack development from proof-of-concept to front-end UI
• Evaluate, measure, and improve performance on a continuous basis
• Stay up to date on industry developments

Principal Generative AI Engineer