What are the responsibilities and job description for the AI Architect position at McCarthy Building Companies, Inc.?
McCarthy Holdings, Inc. (McCarthy), is the holding entity for McCarthy Building Companies, Inc., the oldest privately-held national construction company in America, and Castle Contracting. McCarthy provides the crucial business infrastructure for these entities and connects the day-to-day operations to ensure seamless operations across the business. Repeatedly honored as a great place to work and healthiest employer, McCarthy is a 100 percent employee-owned company.
At McCarthy, we are committed to sustaining a culture that delivers great experiences for everyone. This begins with developing high-performing individuals and teams through our award-winning learning and development programs, best-in-class Total Rewards benefits, and our inclusive culture aligned with our core values: Genuine; We, Not I and All In.
How do McCarthy partners define our culture?
We Live Our Core Values. We do whatever it takes to deliver on our promises with honesty and integrity.
We are Employee Owned. We are personally invested in building the things people need in our communities.
We Feel Like a Family. We value genuine connections and help each other succeed in an inclusive environment.
We are Builders. We respect the work we do and everyone who helps make it happen safely.
Position Summary:
The AI Architect will oversee the design, development, and implementation of enterprise AI solutions, ensuring they meet business goals and technical requirements. This position will provide guidance for the strategic vision, technical direction, and overall alignment with organizational objectives. The AI Architect leads multidisciplinary teams to deliver high-value enterprise AI solutions, while promoting collaboration, technical excellence, and continuous innovation in AI capabilities.
Key Responsibilities:
At McCarthy, we are committed to sustaining a culture that delivers great experiences for everyone. This begins with developing high-performing individuals and teams through our award-winning learning and development programs, best-in-class Total Rewards benefits, and our inclusive culture aligned with our core values: Genuine; We, Not I and All In.
How do McCarthy partners define our culture?
We Live Our Core Values. We do whatever it takes to deliver on our promises with honesty and integrity.
We are Employee Owned. We are personally invested in building the things people need in our communities.
We Feel Like a Family. We value genuine connections and help each other succeed in an inclusive environment.
We are Builders. We respect the work we do and everyone who helps make it happen safely.
Position Summary:
The AI Architect will oversee the design, development, and implementation of enterprise AI solutions, ensuring they meet business goals and technical requirements. This position will provide guidance for the strategic vision, technical direction, and overall alignment with organizational objectives. The AI Architect leads multidisciplinary teams to deliver high-value enterprise AI solutions, while promoting collaboration, technical excellence, and continuous innovation in AI capabilities.
Key Responsibilities:
- Design, implement, and scale AI solutions for the enterprise.
- Identify, evaluate and ensure alignment of AI use cases with business strategies.
- Lead the evaluation and application of Large Language Models (LLMs) and Generative AI.
- Develop framework and processes for training, testing, deploying, and scaling AI models.
- Partner with IT teams to successfully integrate AI solutions into production systems.
- Proactively monitor LLMs for potential biases, inaccuracies, and hallucinations.
- Design data pipelines to support large language model training and inference.
- Support decision-making between using pre-built or custom developed AI solutions.
- Analyze data to fine-tune and optimize AI models.
- Communicate AI project results and insights to business stakeholders and teams.
- Bachelor’s or Master’s Degree in Computer Science, Data Science, or AI is preferred.
- 5 years of proven experience architecting enterprise environments with 3 years designing and deploying AI/ML/NLP/Deep Learning solutions.
- Strong expertise in building and evaluating LLM’s from at least one of the major vendors – Microsoft, Google, Amazon, OpenAI, and Anthropic.
- Proficiency in working with pre-trained AI models (e.g., ChatGPT, Llama), advanced NLP algorithms, and multi-modal or foundation models.
- Hands-on experience with tools and frameworks such as SQL, Python, PyTorch, TensorFlow, Kubernetes, Docker, and MLOps best-practices.
- Excellent collaboration skills, with the ability to design and implement AI solutions that align with business goals and engage cross-functional teams effectively.
- Proficiency in data engineering principles and best practices.