Michael Baker International has appointed Alicia Marchman as vice president of Talent Acquisition & HR AI Transformation, giving the engineering and consulting firm a dedicated executive mandate to modernize recruiting and human resources with artificial intelligence, automation and workforce data. The move reflects a broader shift in enterprise HR from standalone recruiting technology toward AI-enabled people operations.
Artificial intelligence is moving deeper into the HR organization, and companies are increasingly creating leadership roles specifically around turning AI capabilities into operational systems. Michael Baker International is the latest example.
The engineering, architecture, consulting and digital-solutions company has appointed Alicia Marchman as vice president of Talent Acquisition & HR AI Transformation. Her remit spans two areas that have historically operated as separate functions: attracting talent and modernizing the technology infrastructure supporting HR.
Marchman will lead Michael Baker’s talent acquisition strategy while overseeing digital and AI-enabled transformation across HR. According to the company, her responsibilities will include integrating AI, automation and data-driven capabilities into recruiting and HR workflows, with an emphasis on decision-making, operational efficiency and employee and candidate experience.
The appointment is notable because it treats AI transformation as an organizational capability rather than simply a technology deployment.
Recruiting teams already use AI for tasks such as candidate sourcing, job-description generation, skills matching, scheduling and recruiting analytics. HR organizations are also experimenting with AI assistants and agents that can answer employee questions, automate administrative processes and surface workforce insights.
The harder challenge is integrating those technologies into existing HR operating models without creating fragmented tools, inconsistent data or new compliance risks.
That is particularly relevant for an engineering and professional-services company such as Michael Baker, where workforce requirements can span highly specialized technical, professional and executive positions. Recruiting at that scale requires more than automating repetitive tasks. It requires connecting talent demand, workforce data and recruiting operations with broader business planning.
Marchman’s background suggests that Michael Baker is approaching the transformation from that operational perspective.
She joins the company after nearly two decades at AECOM, where she most recently served as vice president and global head of talent acquisition. During her AECOM career, she progressed through recruiting and talent-technology leadership positions, including senior director of global talent acquisition process and technology.
That experience is relevant to the technology side of the new role. Enterprise AI adoption in HR depends heavily on the systems underneath it: applicant tracking, HR information systems, workforce analytics, identity and access management, data governance and integrations between recruiting and broader HCM platforms.
A senior HR leader responsible for both talent acquisition and AI transformation can potentially bridge those areas rather than treating recruiting technology as a standalone stack.
The competitive landscape is already moving in this direction. Workday, SAP, Oracle, Microsoft and Salesforce are embedding generative AI and automation into enterprise workflows, while specialist recruiting platforms are using machine learning and AI to improve sourcing, screening and candidate engagement.
Workday’s AI capabilities, for example, increasingly span recruiting, skills and talent management. Microsoft has incorporated Copilot capabilities into workplace and business applications, while Salesforce has positioned AI agents as a way to automate customer and employee-facing workflows.
The result is a changing definition of the HR technology stack. Instead of buying a single AI recruiting tool, enterprises are increasingly evaluating how AI fits across their existing HCM ecosystem.
For HR leaders, that creates several practical questions. Which recruiting decisions should be automated? Which require human review? How should organizations monitor algorithmic bias? What employee data can be used to train or operate AI systems? And how can HR teams demonstrate that automation improves hiring quality rather than simply reducing administrative workload?
Those questions are especially important for organizations recruiting for regulated, safety-sensitive or technically specialized positions.
Michael Baker’s announcement does not specify which AI platforms or HR systems will underpin its transformation, nor does it provide targets for automation, recruiting efficiency or workforce outcomes. That makes the appointment more significant as a strategic signal than as evidence of a completed technology transformation.
Still, the creation of a dedicated HR AI Transformation leadership remit illustrates where enterprise HR is heading. AI is becoming part of the operating model for talent acquisition rather than an experimental layer added to recruiting software.
Marchman brings more than 25 years of industry experience, including more than 15 years building enterprise recruiting organizations. Before AECOM, she worked at RCS Corporation, managing recruitment strategy for national nuclear staffing programs.
Her professional credentials include SHRM-SCP, SPHR and Prosci Change Management certifications, combining HR expertise with organizational-change experience.
That last element could prove important. Deploying AI into HR is as much a change-management challenge as a software implementation exercise. Recruiters need new workflows, hiring managers need to understand AI-generated recommendations, employees need transparency around automated decision-making, and HR leaders need governance processes that can evolve as AI capabilities change.
Michael Baker’s appointment therefore points to a broader enterprise HR trend: organizations are beginning to put dedicated leadership around the intersection of talent acquisition, AI, automation and people analytics.
The next test will be execution. If the company can connect AI investment with better recruiting decisions, faster workflows and stronger employee experiences while maintaining appropriate human oversight, the role could become a model for how professional-services organizations build AI-ready HR functions.
Market Landscape
AI is rapidly becoming embedded in enterprise HCM and recruiting software. Workday, SAP, Oracle, Microsoft and Salesforce are competing to make AI assistants, copilots and agents part of everyday business workflows.
For HR departments, this changes the technology-buying question. The issue is no longer simply whether an organization should adopt an AI recruiting tool. It is whether AI should become an orchestration layer across recruiting, talent management, employee support, workforce analytics and HR operations.
Professional-services and engineering firms face an additional challenge because their talent requirements can be highly specialized. AI can help automate sourcing and administrative workflows, but skills data, hiring quality and human judgment remain critical.
The emergence of dedicated HR AI leadership roles suggests enterprises increasingly see implementation, governance and workforce adoption as executive responsibilities rather than purely IT projects.
Top Insights
- Michael Baker appointed Alicia Marchman to lead talent acquisition and HR AI transformation, combining recruiting strategy with automation, data and digital workforce modernization.
- Marchman’s nearly 20 years at AECOM give Michael Baker enterprise recruiting and talent-technology experience as it expands AI-enabled HR operations.
- The role reflects a wider HRTech shift toward AI embedded across recruiting, workforce analytics, employee experience and HCM platforms rather than isolated tools.
- HR leaders adopting AI must balance automation with governance, human oversight, data privacy and bias controls across increasingly automated recruiting workflows.
- Engineering and professional-services organizations could benefit from AI-driven recruiting as specialized skills shortages make faster, data-informed talent acquisition increasingly important.
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