McCarthy Building Companies, Inc. · 2 hours ago
Sr. AI Engineer
St Louis, MO
Full-time
Onsite
Senior Level
5+ years expMcCarthy Building Companies, Inc. is the oldest privately-held national construction company in America, committed to a culture that delivers great experiences for everyone. They are seeking a Senior AI Engineer to lead the design and delivery of AI capabilities, focusing on end-to-end solution delivery and technical mentorship within the Enterprise Solutions and Analytics team.
Construction
Responsibilities
Lead the design, implementation, and optimization of scalable data and MLOps pipelines to support enterprise AI, advanced analytics, and agent-based use cases as a senior individual contributor
Advance and mature data models and ontologies to serve as reusable building blocks for AI and analytics
Develop AI/ML solutions, including generative and agentic systems, using modern data science and ML engineering practices from experimentation through production deployment and continuous improvement
Leverage AI-assisted development tools and coding copilots to accelerate prototyping, implementation, and iteration, while maintaining strong standards for code quality, testing, and security
Implement and champion MLOps and PromptOps best practices, ensuring models and agents are reproducible, monitored, observable, and auditable in production environments
Embed governance checkpoints and risk controls into AI development workflows, from data sourcing and feature engineering through deployment and retirement
Design, test, version, and operationalize prompts for generative AI systems; own the prompt lifecycle from creation and A/B testing through optimization and deprecation
Design Scope and design AI solutions with transparency, explainability, and human oversight built in, particularly for autonomous and semi-autonomous (agentic) AI scenarios, following established architectural and governance guidelines
Collaborate with business and technical stakeholders to translate complex business problems into AI solutions that meet performance, security, and compliance requirements
Act as a technical mentor and coach for AI engineers: Provide guidance on solution design, coding practices, testing strategies, and performance optimization. Conduct code reviews and share patterns for high-quality, maintainable, and secure AI solutions. Pair-program and support skill development in data engineering, ML engineering, generative AI, and MLOps/PromptOps
Help drive consistent technical practices across teams by documenting reusable patterns, onboarding others to shared components, and reinforcing alignment with McCarthy’s AI architecture, standards, and Responsible AI practices defined by the AI Architect
Qualification
Required
5–7+ years of experience in AI/ML engineering or data science, including delivering end-to-end production AI solutions with minimal supervision, in a senior individual contributor capacity
Demonstrated ability to define implementation approaches, make tradeoffs at the solution level, and lead execution of complex AI initiatives across teams
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or related field (or equivalent practical experience)
Deep understanding of data science and ML principles: Feature analysis and engineering, Model development and evaluation (supervised/unsupervised), Experiment design, offline/online testing, and performance tuning
Strong background in data engineering: ETL/ELT pipelines and orchestration, Distributed processing frameworks (e.g., Spark), Cloud data platforms and storage patterns, SQL and NoSQL data stores, API-based data integration
Advanced proficiency in Python and core data/ML libraries (e.g., pandas, scikit-learn, PyTorch, TensorFlow, NLP frameworks)
Hands-on experience building on cloud environments and AI/ML platforms (Azure, AWS, GCP, Palantir, Dataiku), including use of serverless and container-based compute
Generative AI expertise: Building, fine-tuning, and deploying generative AI systems (e.g., LLMs, multimodal models), Practical experience with frameworks and platforms such as Hugging Face, OpenAI, LangChain, LlamaIndex, Textract, DocumentAI or similar
Prompt Lifecycle Management: Experience with prompt engineering, version control, evaluation frameworks, experimentation, optimization, and retirement of prompts at scale
Responsible AI Governance: Demonstrated ability to design and implement systems with transparency, explainability, fairness, human oversight, and regulatory/compliance needs in mind, especially for agentic AI scenarios, in alignment with organizational standards
Company
McCarthy Building Companies, Inc.
With 160 years spent collaborating with partners to solve complex building challenges on behalf of its clients, McCarthy Building Companies, Inc.
5001-10000 employees
H1B Sponsorship
McCarthy Building Companies, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (18)
2024 (9)
2023 (25)
2022 (19)
2021 (19)
2020 (22)
Funding
Current Stage
Late StageLeadership Team
David Burns
Vice President Emerging Tech and Project Delivery
Grant St. George
Vice President Operations
Recent News
ReviewJournal
2025-12-24
2025-12-03
2025-11-05
Company data provided by crunchbase