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T. Rowe Price
AI Process Transformation Lead
Career Insights for Artificial Intelligence Engineer (General)
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Based on Maryland data
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What they do
An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.
$130,270 / year median in Maryland
Job Description
AI Process Transformation Lead T. Rowe Price
- 3.6 Baltimore, MD Job Details Full-time $122,000
- $261,000 a year 15 hours ago Benefits Paid time off Adoption assistance Retirement plan Qualifications AI models Stakeholder engagement Automation Generative models Machine intelligence AI-driven automation Stakeholder relationship building Generative AI Stakeholder management Full Job Description At T.
Work:
Rapidly get to the core of how a business workflow operates today through direct engagement with the Associates and leaders who perform and manage the work. Map the critical activities, inputs, outputs, volumes, decisions, handoffs, systems, controls, exceptions, bottlenecks, and recurring sources of effort or friction. Establish practical performance baselines and identify the portions of the workflow where improvement could create meaningful business value. Distinguish root causes from symptoms and challenge assumptions about why existing activities, approvals, or handoffs exist. Reimagine theWork:
Co-design the target-state workflow alongside the business team and Applied AI Solutions Lead, combining deep knowledge of how the work operates today with emerging AI capabilities to create a materially better future state. Determine which elements of the workflow should be simplified, eliminated, automated, AI-augmented, or fundamentally reimagined. Translate the future-state design into clear roles, decisions, handoffs, exception paths, controls, and measures of success. Maintain a strong focus on the primary business outcome and resist unnecessary complexity or scope expansion. Deliver and Learn atPace:
Stay actively involved through rapid build, testing, iteration, launch, and handoff rather than treating process design as a front-end deliverable. Work with real users to test the proposed future state and adapt the workflow as the team learns what works in practice. Partner with the AI Adoption & Integration Lead to ensure the redesigned process can be understood, adopted, and sustained by the business. Capture reusable process patterns and lessons that can accelerate future engagements or identify opportunities for broader transformation.Mindset Analytical and structured:
naturally seeks facts, patterns, clarity, and measurable evidence.Organized and grounded:
quickly turns messy work into an understandable operating model. Insatiably curious about how work actually happens. Comfortable getting into operational detail without losing sight of the business outcome. Challenges legacy assumptions respectfully and constructively. AI-forward, while remaining focused on solving the problem rather than forcing AI into it. High urgency, low ego, and energized by solving a succession of different business problems as part of a team.Qualifications Required:
Bachelor's degree or equivalent experience in business, operations, engineering, finance, information systems, or a related discipline and 8+ years of related experience. Experience in process transformation, operations, management consulting, continuous improvement, business architecture, or related roles. Demonstrated experience independently leading the analysis and redesign of complex business workflows. Strong quantitative and analytical skills, including experience establishing performance baselines and measurable target outcomes. Ability to rapidly learn unfamiliar business domains and ask incisive questions of subject-matter experts. Strong facilitation and stakeholder-management skills across frontline, management, and senior-leadership audiences. Working understanding of generative AI, automation, and emerging AI-enabled workflows.Preferred:
Experience in asset management, financial services, or another regulated environment. Experience with Lean, Six Sigma, process engineering, service design, or related disciplines. Experience implementing technology-enabled transformation rather than only developing recommendations. Familiarity with process-mapping, process-mining, workflow, or analytical tools. FINRA Requirements FINRA licenses are not required and will not be supported for this role. Work Flexibility This role is eligible for hybrid work, with up to one day per week from home. Base Salary Ranges Please review the job posting for the location of this specific opportunity. $122,000.00- $209,000.00 for the location of: Maryland, Colorado, Washington and remote workers $135,000.00
- $230,000.00 for the location of: Washington, D.C. $153,000.00
- $261,000.
Benefits
- Paid Time Off (PTO)
- Dental Insurance
- Employee Programs
- Other Retirement and Savings