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Ai Risk Jobs in Missouri (NOW HIRING)

Senior Security AI Engineer

Kansas City, MO · Hybrid

$111K - $153K/yr

Conduct risk assessments, gap analyses, and control maturity evaluations. * Support audits ... Leading AI red teaming engagements and integrating AI telemetry into security operations.

Ethics Director

California, MO · On-site

$150 - $230/hr

Lead the AI risk review process for new products, customers, and use cases. * Track regulatory developments (EU AI Act, NIST AI RMF, sector-specific rules) and translate them into engineering ...

New

Senior Security AI Engineer

Kansas City, MO · On-site

$111K - $153K/yr

We are seeking a Senior Security AI Engineer to strengthen our cybersecurity posture across cloud ... Risk Management & Compliance • Align security controls with frameworks such as NIST CSF, NIST 800 ...

Senior Security AI Engineer

Kansas City, MO · Hybrid

$111K - $153K/yr

Conduct risk assessments, gap analyses, and control maturity evaluations. Support audits ... AI threat modeling, model governance, and data protection. Securing MLOps/LLMOps pipelines and ...

Senior Security AI Engineer

Kansas City, MO · On-site

$111K - $153K/yr

Job Summary : Imperial PFS is seeking a Senior Security AI Engineer to strengthen their ... Conduct risk assessments, gap analyses, and control maturity evaluations. • Support audits ...

Identify opportunities where AI and machine learning can enhance credit decisions while managing risk * Challenge legacy thinking: "We've always done it this way" is not in your vocabulary Drive ...

Lead Technical Program Manager

O Fallon, MO · On-site

$120K - $156K/yr

Embed financial governance, auditability, and risk controls into AI-driven decision systems and automation workflows. Translate complex technical and financial concepts into clear, executive ready ...

$120K - $156K/yr

... risk management. The platform leverages supercomputing, advanced business rules, AI/ML technologies, agentic AI frameworks, streaming big data platforms, high-speed in-memory caching, APIs, and user ...

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Showing results 1-20

Ai Risk information

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What are the most commonly searched types of Ai Risk jobs in Missouri? The most popular types of Ai Risk jobs in Missouri are:
What are popular job titles related to Ai Risk jobs in Missouri? For Ai Risk jobs in Missouri, the most frequently searched job titles are:
What cities in Missouri are hiring for Ai Risk jobs? Cities in Missouri with the most Ai Risk job openings:
Infographic showing various Ai Risk job openings in Missouri as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Solutions Managing Director, AI Tech Strategy & Consulting

World Wide Technology Holding, LLC

Saint Louis, MO • On-site

$230K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 21 days ago


Job description

Qualifications and Requirements:

Experience

  • 15+ years of experience in technology consulting, strategy, and/or enterprise AI - with at least 5 years at a senior consulting leadership level (Director or above)
  • Demonstratedtrack recordof originating and closing $5M+ consulting engagements; experience managing $10M+ annual portfolios preferred
  • Deep experience advising Fortune 500 clients on AI strategy, data strategy, or digital transformation
  • Hands-on understanding of the AI/ML lifecycle - from business case and use case prioritization to deployment and governance
  • Hands-on understanding of AI tooling from workforce productivity tosoftware development and its broad application across WWT domains
  • Experience with at least one major industry vertical (Financial Services, Healthcare, Manufacturing, Retail, Energy, or Public Sector)

Technical Depth

  • Fluency in enterprise AI platforms and ecosystems: Azure OpenAI, Google Vertex AI, AWS Bedrock, Salesforce Einstein, ServiceNow AI
  • Working knowledge of GenAI, large language models (LLMs), agentic frameworks, RAGarchitecture, and AI governance models
  • Understanding of data architecture,MLOps, and the enterprise infrastructurerequiredto operationalize AI at scale
  • Familiarity with AI risk, responsible AI principles, and regulatory landscape (EU AI Act, NIST AI RMF, sector-specific compliance)

Leadership & Interpersonal

  • Executive presence with the ability to engage, influence, and build lasting relationships at the C-suite and Board level
  • Strong commercial instincts - able toidentify, structure, and close high-value opportunities while navigating complex client dynamics
  • Proven ability to lead, inspire, and develop high-performing consulting teams in a fast-paced, client-facing environment
  • Excellent written and verbal communication skills; ability to synthesize complex topics into clear executive narratives

Education

  • Bachelor's degreerequired; advanced degree (MBA, MS in Computer Science, Engineering, or related field) strongly preferred
  • Relevant certifications in AI, cloud, or strategy frameworks are a plus (e.g., Google Cloud Professional ML Engineer, AWS AI Practitioner, TOGAF)

Travel: 30% - 40%

Differentiating Competencies:

Candidates who thrive in this role typicallydemonstratethe following beyond baseline qualifications:

  • AI Translators - Can move fluidly between deep technical AI concepts and executive business strategy without losing either audience
  • Opportunity Architects - Naturallyidentifyand shape white space opportunities within existing client relationships
  • Talent Multipliers - Elevate the teams around them; known for developing the next generation of consulting talent
  • Collaboration Catalysts - Build alignment acrossWWTpractices, sales, and delivery teams; connect the right experts quickly to accelerate outcomes
  • Market Makers - Actively shape WWT market narrative through original ideas, partnerships, and industry visibility
  • Ethical Navigators - Bring a grounded perspective on AI risk, fairness, and responsible use to every client conversation

Want to learn more about Consulting Services? Check us out on our platform:

https://www.wwt.com/consulting-services

Certain states and localities require employers to post a reasonable estimate of salary range. A reasonable estimate of the current base pay range for this position is $230,000 to $300,000 annually. Actual salary will be based on a variety of factors, including shift, location, experience, skill set, performance, licensure and certification, and business needs. The range for this position in other geographic locations may differ. Certain positions may also be eligible for variable incentive compensation, such as bonuses or commissions, that is not included in the base pay.

The well-being of WWT employees is essential. When it comes to our benefits package, WWT has one of the best. We offer the following benefits to all full-time employees:

  • Health and Wellbeing: Health (Medical & Prescription), Dental, and Vision Care, Onsite Health Centers (MO & IL), Employee Assistance Program, Wellness program
  • Financial Benefits: Competitive Pay, Profit Sharing, 401k Plan with Company Matching, Life and Disability Insurance, Flexible Spending Accounts, Tuition Reimbursement
  • Paid Time Off: PTO & Holidays, Parental Leave, Medical Leave, Military Leave, Bereavement, Day of Caring
  • Additional Perks: Family Planning Benefits, Nursing Mothers Benefits, Voluntary Legal, Voluntary Supplemental Accident/Illness/Hospital, Voluntary ID Theft, Pet Insurance, Employee Discount Program

Note: This is not an all-encompassing list and should not be used as a complete description of the plan's benefits. For more information, see our US benefits website at wwt.com/us-benefits.


We strive to create an environment where all employees are empowered to succeed based on their skills, performance, and dedication. Our goal is to cultivate a culture of belonging that encourages innovation, collaboration, and respect for all team members, ensuring that WWT
remains a great place to work for all!

If you require accessibility accommodation(s) or adjustment during any stage of the hiring process, please let your WWT Recruiter know. The recruiter will work with you to understand your needs and help ensure an accessible experience throughout the interview process.


World Wide Technology is an Equal Opportunity Employer.

If you have any questions or concerns about this posting, please emailtaposting@wwt.com.

#LI-MP2

#LI-REMOTE

Why WWT?

World Wide Technology (WWT) strives to make a new world happen. WWT's work benefits clients and partners as much as it does its people and community across the globe.

Founded in 1990, WWT brings together strategy, deep technical expertise and world-class partnerships to help public and private sector organizations design, build and scale intelligent AI, digital, cybersecurity, cloud and infrastructure solutions. Through its Advanced Technology Center (ATC)-a collaborative ecosystem featuring state-of-the-art hardware and software-WWT enables clients and partners to conceptualize, test and validate innovative technology and then deploy solutions at scale using its global integration and distributions capabilities.

With more than 14,000 team members and over 60 locations globally, WWT's culture-grounded in core values and leadership philosophies-has been recognized by Fortune and Great Place to Work for its commitment to innovation, trust and creating a great place to work for all. WWT provides products and services to large enterprise, global service provider and public sector clients in up to 130 countries across six continents. Softchoice, a World Wide Technology company, supports commercial and SMB markets in the U.S. and Canada.

Want to work with highly motivated individuals on high-performance teams? Join WWT today!

Whatisthe Solutions Consulting & Engineering (SC&E) Team and why join?

Solutions Consulting & Engineering is an organization that is Customer Focused and Solutions Led. We deliver end-to-end and emerging solutions to drive customer satisfaction, increaseprofitabilityand growth. Our success is enabled by our world-class management consulting, deliveryexcellenceand engineering brilliance. Our goal is to bring together business acumen with full-stack technicalknow-howto develop innovative solutions for our clients' most complex challenges.

Position Overview:

TheSolutionsManaging Director of AITechStrategy & Consulting serves as a senior client advisor, business& techbuilderand connector, and thought leader within theSolutionspractice. This role is accountablefor:

  • Connectingspecificsolutiondomains to strengthen theend-to-endAI Solutionsclient messaging,offerings,solutioning & delivery capabilitiesin addition, bring market competitiveness and intelligence from thefast-pacedchanging AI and Tech landscape.The domains include but are not limited to:Security, Cloud, Digital & Data, Digital Workspace, DataCenterand Cloud.
  • Shaping and closinghigh-impactAI Techengagements across enterprise clients, driving measurable business outcomes through responsible adoption of artificial intelligence.
  • Working across teams to infuseleverage ofAI tooling intoWWT solutionsand execution.

The MDoperatesat the intersection of business and technology - translating complex AI capabilities into boardroom-level strategies,driving engagement acrossmultidisciplinary teams, and building trusted C-suite relationships that generate sustained revenue and long-term client partnerships.

This role sits at the forefront of one of the most consequential technology shifts of our time.We are looking for leaders who not only advise, but who actively shape how enterprise organizations adopt it responsibly, at scale, and with lasting impact.

Key Responsibilities:

Client Leadership

  • Serve as the trusted AI advisor to C-suite and senior technology leaders (CEO, CTO, CDO, CAIO), translating ambiguous business challenges into structured AI roadmaps
  • Drive executive workshops, AI maturity assessments, and operating model design for enterprise clients across industries
  • Be the Client Executive Sponsor for strategic and complex AI programs.

Business Development & Revenue Growth

  • Lead pursuit strategy for AI-focused engagements - including RFP responses, orals, and executive presentations
  • Partner with the AI sales teams to supportbuildofnewAI pipeline.
  • Partner withtheappropriate WWTteamsto develop co-sell motions and joint go-to-market strategies

AI Practice & Thought Leadership

  • EvolveWWT'sAI service offerings, methodologies, and frameworks - contributing to practice-wide IP, accelerators, and delivery assets
  • RepresentWWTexternally through speaking engagements, published POVs, industry panels,etc.
  • Stay at the forefront of AI developments (GenAI,Agentic AI, AIGovernance,MLOps) and translate emerging trends into client-relevant insightsand WWT solutions
  • Mentor and develop senior managers and directors; contribute to recruiting, performance management, and talent strategy

Cross-Functional Collaboration& Solutions

  • Collaborate with other practice leaders (Cloud, Data, Security,Digital Workspace, Automation, Networking, Data Center) to develop integrated, end-to-end AI transformation offerings
  • Contribute to firm strategy discussions on market positioning, competitive differentiation, and investment priorities in AI