Gilbane Building · 9 hours ago
AI Director
Gilbane Building is seeking a seasoned and forward-thinking AI Director with a strong foundation in IT and proven experience in data and AI. In this leadership role, you will guide a team of AI Solutions Analysts and oversee the design and delivery of AI solutions that connect advanced capabilities with real-world business value.
Commercial Real EstateConstructionReal Estate
Responsibilities
Lead, mentor, and develop a team of AI Solutions Analysts; set goals, review performance, and grow skills
Allocate work, remove blockers, and establish delivery rituals (stand‑ups, code reviews, demos, retros)
Model engineering best practices, documentation standards, and a culture of reliability and accountability
Develop and lead Gilbane AI strategy in alignment with business goals and digital transformation initiatives
Design, develop and deploy high-impact AI solutions (GenAI and traditional ML) that enhance project delivery, safety, operational efficiency. Workforce enablement, client enablement and unlock new value
Own full lifecycle: discovery, prototyping, testing, hardening, deployment, and post‑launch iteration
Ensure integration with existing systems and workflows
Document technical designs, processes, and outcomes for knowledge sharing and scalability and provide training, and support to drive AI adoption across teams
Evaluate and recommend AI tools, platforms, and technologies (buy vs build)
Monitor performance to ensure high-quality, scalable solutions
Stay updated on emerging AI trends and technologies, risks and opportunities. to ensure the organization remains competitive
Partner with business owners to frame problems, define success metrics, and prioritize a clear backlog. Collaborate with the IT team and other support functions
Translate business requirements into engineering tasks and acceptance criteria; communicate status and risks proactively
Prepare and deliver executive‑ready updates and demonstrations
Work with IT and data teams to source, prepare, and govern high‑quality data
Design feature pipelines and governance strategies
Embed Responsible AI controls (privacy, security, bias testing, explainability) into each lifecycle stage and ensure AI solutions adhere to ethical guidelines, data privacy regulations, and Responsible AI principles. Address potential biases in AI models and ensure transparency
Produce and maintain model/solution documentation (model cards, data lineage, evaluation results, user guidance)
Manage relationships with external AI vendor, consultants, and technology providers
Coordinate with Legal/Compliance on data use and third‑party tools
Create user training, quick‑start guides; measure adoption and satisfaction
Gather feedback, prioritize enhancements, and drive continuous improvement
Define and track KPIs (e.g., cycle‑time reduction, accuracy/quality uplift, cost‑to‑serve, user adoption) to measure success of AI solutions (ROI)
Report outcomes and lessons learned; Continuously monitor and optimize AI models and systems and capture reusable components (prompts, evaluators, connectors) in a shared library
Qualification
Required
8+ years of experience in AI or related field
Expertise in AI / ML, deep learning, NLP, predictive analytics and modern AI architectures
Experience managing and collaborating with external AI vendors, consultants and integrators
Proficiency in programming languages
Experience with cloud platforms
Expertise in designing scalable and secure AI architectures
Knowledge of microservices, APIs, and system integration
Strong understanding of data engineering, data pipelines, and data governance
Familiarity with big data technologies
Excellent communication and collaboration skills to work with cross-functional teams
Strong problem-solving and analytical skills to translate business needs into AI opportunities that drive efficiencies and speeds
Strong leadership skills and demonstrated ability in leading small team
Proven experience in enterprise-scale AI/ML solution building and deployment
Background in software engineering, data science, or related fields
Preferred
Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning)
Experience with Responsible AI frameworks and ethical AI practices
Experience in a build environment and familiarity with industry data sources and workflows, including BIM, digital twins, IoT, scheduling, estimating, safety systems, and projects control are a plus
Benefits
Competitive health and welfare benefits
Generous profit-sharing/401k plan
Gilbane University into a top training organization in the construction industry
Company
Gilbane Building
Gilbane Building Company provides a full slate of construction and facilities-related services—from preconstruction services planning and integrated consulting capabilities to comprehensive construction management, general contracting, design-build, and facility management services— for clients across various markets.
H1B Sponsorship
Gilbane Building 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 (11)
2024 (8)
2023 (16)
2022 (2)
2021 (1)
2020 (5)
Funding
Current Stage
Late StageTotal Funding
$16MKey Investors
Amazon
2022-12-19Debt Financing· $16M
Recent News
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