At MCG, we lead the healthcare community to deliver patient-focused care. We have a mission-driven team of talented physicians and technical experts developing our evidence-based content and innovating our products to accelerate improvements in healthcare. If you are driven to enhance the US healthcare system, MCG is eager to have you join our team. We cultivate a work environment that nurtures personal and professional growth, and this is a thrilling time to become a part of our organization. With dynamic roles that offer meaningful impact, you'll be able to fully realize your potential. Plus, you'll enjoy world-class benefits and the security, stability, and resources of our parent company, Hearst, with over 100 years of experience.
As a Principal Generative AI Engineer you will serve as a principal advisor and recognized expert for GenAI across our organization, focused on business operations and workflow efficiency.
You will lead the design and implementation of scalable, secure, and efficient AI powered solutions, enhance efficiency, reduce manual work, and deliver measurable outcomes. You will shape objectives, influence executive stakeholders, and represent the organization while ensuring solutions are safe, compliant, and cost-efficient. This is a unique opportunity to operate as the enterprise expert and principal advisor to solve for multiple use cases, as well as an opportunity to help enable business stakeholders on the power of AI solutions. You’ll play a critical role in shaping the AI strategy and delivery frameworks that drive transformative business value.
You will:
- 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
What We’re Looking For:
- 10+ years of professional software engineering experience, with a strong background in designing, building, and maintaining complex systems.
- Deep expertise building and operating production GenAI/LLM systems: prompt design, function/tool calling, RAG, agents, evaluation, safety, and cost/latency optimization.
- Proficiency in Python and modern backend stacks; strong knowledge of embeddings and vector stores (e.g., Pinecone, Weaviate, FAISS) and document processing.
- Mature LLMOps/MLOps practices: experiment tracking, model registry, CI/CD, tracing/telemetry, automated evaluations, and incident response.
- Enterprise integration experience across Business Systems (APIs, iPaaS, middleware), data governance, and change management.
- Proven ability to influence senior stakeholders, set direction under ambiguity, and deliver multi-function impact; excellent communication and mentorship skills.
- Proven experience designing, implementing, and operating autonomous AI agents, with production-grade safety/guardrails, evaluation harnesses, and observability—delivering reliable outcomes under cost/latency/SLO constraints
- Deep experience architecting and operating GenAI workloads on Azure and/or AWS
- Strong knowledge of software engineering best practices
- Knowledge of business operations
- Experience with process mapping, workflow design, and identifying operational inefficiencies
- Experience in change management to drive adoption and integration of AI solutions across the organization.
- Deep problem-solving mindset with the ability to translate business challenges into AI-powered solutions
- Demonstrated ability to work independently and drive initiatives forward with minimal guidance.
- Excellent written and verbal communication skills with the ability to present to technical, non-technical, and executive audiences
- Strong problem-solving and troubleshooting ability
- Strong analytical ability for solving operational problems
- Collaborative mindset with a track record of effective teamwork
Preferred Qualifications:
- Master’s degree in Computer Science, Engineering, or a related field
- Health technology domain experience
- Experience with Salesforce, Gainsight, Marketo, and other systems across the revenue operations stack
Pay Range: $183,600 - $257,040
Other compensation: Bonus Eligible
Perks & Benefits:
💻 Remote work
✈️ Travel expected 4-8 times per year for company-sponsored events
🩺 Medical, dental, vision, life, and disability insurance
📈 401K retirement plan; flexible spending and health savings account
🏝️ 15 days of paid time off + additional front-loaded personal days
🏖️ 14 company-recognized holidays + paid volunteer days
👶 up to 8 weeks of paid parental leave + 10 weeks of paid bonding leave
🌈 LGBTQ+ Health Services
🐶 Pet insurance
📣 Check out more of our benefits here: https://www.mcg.com/about/careers/benefits/
Remote with Moderate Travel (4- 8 trips per year)
This is a remote position, and does require occasional travel, typically between 4-8 times per year. All travel expenses will be covered in accordance with company policy.
The ideal candidate should be comfortable balancing the independence of remote work with the collaborative opportunities offered by periodic in-person engagements.
We embrace diversity and equal opportunity and are committed to building a team that represents a variety of backgrounds, perspectives, and skills. Only with diverse thoughts and ideas will we be able to create the change we want in healthcare. The more inclusive we are, the better our work will be for it.
All roles at MCG are expected to engage in occasional travel to participate in team or company-sponsored events for the purposes of connection and collaboration.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
MCG is a leading healthcare organization dedicated to patient-focused care. We value our employees' unique differences and are an Equal Employment Opportunity (EEO) employer. Our diverse workforce helps us achieve our goal of providing the right care to everyone. We welcome all qualified applicants without regard to race, religion, nationality, gender, sexual orientation, gender identity, age, marital status, veteran status, disability, pregnancy, parental status, genetic information, or political affiliation. We are committed to improving equity in healthcare and believe that a diverse workplace fosters curiosity, innovation, and business success. We are happy to provide accommodations for individuals. Please let us know if you require any support.
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