Artificial Intelligence

• Lead discovery workshops to clarify business objectives, constraints, and measurable success criteria for AI/ML initiatives
• Translate requirements into end-to-end target-state architectures across data, ML/AI, application integration, security, and governance
• Define pragmatic tradeoffs across accuracy, latency, cost, reliability, privacy, and risk—and communicate decisions to exec and engineering audiences
• Design the data + model lifecycle (pipelines, training/finetuning, serving, monitoring, drift detection, retraining) and the required MLOps/LLMOps foundations
• Establish integration patterns with enterprise systems (APIs/events/workflows, IAM, observability) so solutions are operable and supportable in production
• Partner with security, privacy, and risk teams to embed controls (access, auditability, data handling, responsible AI) into solution designs
• Produce core delivery artifacts (architecture diagrams, reference patterns, implementation roadmap, runbooks) and drive architecture reviews
• Mentor teams and build reusable assets/accelerators (reference architectures, templates, evaluation scorecards) to scale repeatable delivery quality

AI-ML Director

• Developing and implementing AI-powered contact center solutions using tools such as Dialogflow and Amazon Lex
• Designing and prototyping user interfaces with a focus on usability and accessibility, utilizing Figma and HTML5
• Conducting user research and analysis to inform the design and customization of interactive systems
• Collaborating with cross-functional teams to integrate Agentic AI protocols and enhance customer experience strategies
• Creating and refining mock-ups and prototypes to align with client requirements and feedback
• Analyzing industry trends to identify opportunities for innovation in user interaction engineering
• Leading the development of natural language interfaces and voice design for enhanced user engagement
• Utilizing AngularJS frameworks to build responsive and dynamic web applications
• Managing workflow development and analysis to optimize processes and improve efficiency
• Applying human-centered design principles to create intuitive and user-friendly digital products

Senior Associate, Conversational AI, Agentic AI

• Conduct training sessions for SNHU community members to ensure use of AI tools and technologies
• Provide support in the form of hands-on guidance and consultation
• Help optimize existing AI-driven processes to improve operational and educational efficiency
• Collaborate with cross-functional teams to support AI Proofs of Concept, projects, and product exploration
• Assist in brainstorming and planning for faculty and staff ideas related to AI integration
• Develop training materials, guides, and resources to support AI tool adoption across the institution
• Attendance, punctuality, and reliability are essential functions of this role
• Other responsibilities as assigned

AI Integration Specialist

• Own day-to-day performance, quality, and improvement of Intercom Fin.
• Monitor Fin metrics such as resolution rate, escalation rate, customer satisfaction, conversation quality, and recurring failure patterns.
• Review unresolved or escalated conversations to identify root causes and improvement opportunities.
• Improve Fin knowledge sources, instructions, workflows, routing, escalation logic, and guardrails.
• Partner with CX, Product, Compliance, Operations, Sales, Marketing, and technical teams to ensure AI-powered experiences are accurate, helpful, compliant, and aligned to business goals.
• Identify content, process, configuration, or data gaps that prevent AI tools from delivering a great user experience.
• Support internal pilots and beta tests for expanded AI use cases, including experiences beyond traditional customer support.
• Help define requirements, success metrics, test plans, rollout steps, and feedback loops for AI-enabled workflows.
• Evaluate when Intercom Fin is the right solution and when another tool, workflow, automation, or process change may be a better fit.
• Document learnings, risks, decisions, and recommendations so AI improvements can scale responsibly.

Applied AI Specialist

• Lead end-to-end development for our AI platform and customer experiences, from initial roadmap to rollout.
• Partner with engineers to design prompt strategies, evaluation frameworks, and guardrails—balancing latency, cost, and accuracy.
• Serve as the technical translator between engineering and the broader organization, establishing AI best practices and platform standards.
• Drive systematic improvement in answer quality, customer satisfaction, and automation rates through rigorous experimentation.
• Work with partners at OpenAI to evaluate and deploy the next generation of voice models and workflow automation.

Manager, AI Agents and Automation

• Lead, coach, and grow teams of customer-focused data scientists.
• Build and staff a portfolio of high-impact AI projects that deliver clear value for the company
• Envision, drive, and deliver innovative AI-based models and products that drive significant improvements in revenue, profitability, and operating costs.
• Build effective partnerships with technical and product leaders and business stakeholders.
• Partner closely with Product Management, Technical Program Managers, Architects, HP product groups, and experts to envision, drive, and deliver innovative, compelling, and quality solutions at speed and scale.
• Evangelize and teach AI concepts and best practices to business teams across HP

Director of AI

• Lead, coach, and grow teams of customer-focused data scientists.
• Build and staff a portfolio of high-impact AI projects that deliver clear value for the company.
• Envision, drive, and deliver innovative AI-based models and products that drive significant improvements in revenue, profitability, and operating costs.
• Build effective partnerships with technical and product leaders and business stakeholders.
• Partner closely with Product Management, Technical Program Managers, Architects, HP product groups, and experts to envision, drive, and deliver innovative, compelling, and quality solutions at speed and scale.
• Evangelize and teach AI concepts and best practices to business teams across HP

• Support AI Strategy Execution: Assist in the development and execution of change strategies specifically tailored for AI implementations, including stakeholder assessments and change impact analysis.
• Enablement & Training: Facilitate AI-focused workshops and enablement sessions, helping users master prompt engineering and Generative AI features within Google Workspace.
• Content Creation: Design and deliver high-quality job aids, communication materials, and adoption resources that translate complex AI concepts into actionable user guidance.
• Design and execute adoption programs that drive sustained LLM usage. Build activations, ongoing engagement events, and workshops (e.g., Use Case Demos, Lunch & Learns, Promptathons), develop communications campaigns, and adapt tactics.
• Stakeholder Engagement: Act as a secondary point of contact for clients, supporting resistance management efforts and reinforcing long-term AI adoption plans.
• Cross-Functional Collaboration: Work closely with technical teams and program managers to ensure change management activities align with AI deployment milestones.
• Internal Practice Growth: Contribute to the development of Wursta’s AI adoption playbooks and best practices as we expand our AI consulting capabilities.

Junior AI Adoption Consultant

• Engage with clients every day: on the phone, in a videoconference, or from the stage at a Gartner event
• Conduct research and analysis in specific areas of expertise targeting client’s key questions to create thought leading insights
• Deliver high-quality actionable advice and strong positions through a variety of media
• Write high-quality, clear, practical, advisory research and reference architecture documents
• Respond to client questions, create materials for, and deliver to clients via teleconference, video conference or webinar and event presentations

Senior Director Analyst – IAM, IGA, PAM, Agentic AI

• Lead the operational delivery of high-priority third-party AI onboarding engagements, including OpenAI and Anthropic, while ensuring compliance, configuration, and cross-functional coordination.
• Own the end-to-end Tech Onboarding and Marsh compliance process for significant tool onboarding requests, including intake, review, exception handling, and go-live readiness.
• Serve as the first point of contact for consultant and business lead requests related to AI experimentation, pilots, and deployments, triaging work and escalating strategic items appropriately.
• Partner with Product Strategy PMs, OWG Tech, Marsh Security, and vendor teams to keep the delivery pipeline moving, manage integrations, and identify risks early.
• Provide deputy leadership support as needed, representing the Build Team in meetings, maintaining continuity, and overseeing the Senior Tech Delivery Analyst.

Senior Technology Delivery Manager, Gen AI

• Support the transition from traditional dashboards and reporting toward AI-enabled analytics
• Conduct root-cause analysis, benchmarking, and ad-hoc investigations in support of operations stakeholders
• Load operations data into analytical systems and identify anomalies
• Automate recurring data preparation, reporting, and analysis tasks
• Apply AI systems and tools to deliver insight at scale
• Prepare clear analytical and technical reports for operations stakeholders

AI Analyst

• Provides strategic support for the assigned business area
• Acts as a day-to-day technical/functional expert in assigned area
• Maintains and supports implementation of policies and procedures
• Implements process improvements
• Analyzes and reports on area data (financial, headcount, etc.) and performance metrics
• Supports business management projects by monitoring and tracking risks, issues and action items
• Drives and oversees meeting planning in support of business projects and objectives
• Influences the development of new strategic initiatives through tracking budgets and milestones

Director – Business Manager, Retirement AI Strategy

• Establish and operationalize a comprehensive governance framework covering data quality, privacy, lineage, and ethical AI usage across all enterprise systems and platforms.
• Chair the Data Council and participate in the AI Governance Board to review and approve new data and AI use cases, ensuring alignment with enterprise standards and policies.
• Manage enterprise data catalog, metadata standards, and stewardship processes to maintain clarity of ownership, lifecycle management, and access control.
• Partner with the Chief Privacy Officer, Chief Information Security Officer, and Legal to ensure adherence to global data regulations, privacy laws, and AI governance mandates.
• Define guardrails for citizen-led AI development, ensuring secure, compliant, and responsible use of low-code and generative AI tools across the organization.
• Develop and track governance KPIs—such as data quality scores, privacy incidents, and model validation rates—to demonstrate accountability and progress.

Director, AI Governance

• Lead the administration and ongoing enhancement of the OneTrust AI Governance module, including intake workflows, AI inventory, use-case review, and control mapping
• Drive the processing and triage of new AI use cases and requests, coordinating with Legal, Privacy, and Business stakeholders to ensure alignment with enterprise policy and risk appetite
• Lead continuous cataloging of generative AI systems, large language models (LLMs), low-code/no-code automations, and AI agents in the environment
• Research and evaluate advancements in AI and related threats to inform and shape governance and security decisions across the enterprise
• Author risk decisions, mitigation plans, and approvals for AI initiatives, ensuring defensible documentation and executive-ready rationale
• Operate, integrate, and optimize the enterprise AI security tooling portfolio — including Onyx (Secure LCNC), Reco, Dux, Upwind, Magnitude, Doppel, and future tools added to the portfolio — to connect AI development, visibility, enforcement, and reporting across Power Platform, Copilot Studio, Salesforce, AWS Bedrock, Snowflake Cortex, and other enterprise automations
• Lead the design of integrated workflows that link AI development (intake and build), visibility (discovery and inventory), enforcement (policy and guardrails), and reporting (risk and compliance dashboards) across the BISO AI tool stack
• Direct the review and analysis of findings from cloud and AI security platforms (e.g., Upwind, Reco, Dux) related to AI workloads, containers, agents, and data services, and prioritize response actions
• Deliver strategic insights to leadership regarding AI-driven recommendations, usage patterns, threat exposure, and risk indicators
• Own remediation tracking with development and engineering teams and verify closure of AI-related vulnerabilities through to resolution
• Design, develop, and maintain dashboards summarizing AI risk trends, inventory status, enforcement actions, and compliance posture — sourced from across the AI security tool portfolio
• Create and evolve AI policies, standards, and procedures in partnership with cross-functional stakeholders
• Partner with Privacy, Legal, and Information Security to establish responsible AI usage practices aligned with regulatory and ethical expectations
• Lead AI-related audit and assessment activities, serving as the subject matter expert for BISO AI governance and tooling
• Evaluate, pilot, and onboard new AI security and governance tools as the portfolio expands, ensuring seamless integration with existing development, visibility, enforcement, and reporting workflows
• Mentor and develop junior analysts and emerging talent on the BISO team, providing coaching, knowledge transfer, and growth opportunities in AI governance, cybersecurity, and risk management practices

Senior Analyst, BISO AI

• Map and maintain a structured view of the AI Assistants in the travel ecosystem, including key players, emerging standards and protocols, partnership dynamics and business models.
• Run ongoing competitive intelligence and SWOT analysis, translating market observations into actionable strategic recommendations for the team and senior stakeholders.
• Monitor competitor moves, product launches, integrations, partnerships, pricing signals, M&A activity, and technology shifts to identify emerging opportunities and market dynamics.
• Track customer behavior, traveler behavior and trends, and partner feedback to inform strategy, value proposition, positioning, and product direction.
• Lead market sizing, customer segmentation, and target customer definition for the AI Assistants segment, supporting early prioritization and investment decisions.
• Contribute to early-stage business model design, pricing thinking, go-to-market options, and value proposition framing in close collaboration with commercial, product, and leadership.
• Own the support to early product lifecycle phases by defining potential markets, assessing market viability and risk, shaping the evidence base for product and business decisions.
• Produce crisp, executive-ready outputs such as strategy memos, competitive snapshots, market briefings, decision papers, and recommendation decks for senior audiences.
• Maintain a current, shared strategic view of the market as the AI assistant landscape evolves, ensuring the team can act quickly on relevant external signals.

Senior Manager – AI Strategy, Market Intelligence

• Lead the technical validation and demonstration of the Hitachi iQ AI platform.
• Design and execute PoCs that demonstrate how VSP One Object and HCP integrate with AI/ML pipelines.
• Build and maintain 'Gold Standard' lab environments to showcase high-performance object storage.
• Demonstrate HCP Anywhere Enterprise for secure, global collaboration and edge-to-core data workflows.
• Lead the installation, tuning, and lifecycle management of the Hitachi iQ platform, VSP One Object, HCP, and HCP Anywhere Enterprise.
• Architect storage solutions that bridge on-premises object storage with public cloud ecosystems.
• Serve as the subject matter expert on S3 API integration, REST, and advanced metadata tagging.
• Use Ansible and Terraform to automate the deployment of Hitachi iQ nodes and object storage buckets.
• Utilize Python, JavaScript, and Shell scripting to build custom glue code that automates data movement into the AI data lake.
• Present AI-driven storage architectures at industry conferences and executive briefings.
• Create high-fidelity 3D renders, architectural diagrams, and video content that make AI solutions visually stunning.

CoE Technical Expert – AI, Object Storage

• Translate business problems into scalable AI solutions.
• Ensure responsible and measurable deployment of AI across the organization.
• Help scale AI literacy and champion new tools and capabilities.
• Guide end-to-end automation initiatives to improve productivity and decision quality.
• Operate with high autonomy and work across diverse stakeholders to shape Yum!’s AI maturity.
• Build and optimize enterprise AI initiatives.
• Develop and execute AI literacy programs through the AI Academy.
• Scale enterprise agents and integrate AI tools into daily workflows.
• Build local communities of practice and train AI champions for AI adoption.

Manager, AI Strategy – Transformation

• Align technology, AI, data, and digital platform strategies with business objectives
• Drive strategic transformation initiatives by partnering with business and technology leaders
• Collaborate with partners to implement transformational capabilities
• Provide thought leadership on emerging technologies and automation
• Serve as a trusted advisor to drive alignment
• Evaluate strategic partnerships and technology opportunities
• Influence enterprise architecture and technology strategies
• Facilitate cross-functional collaboration to deliver transformation programs
• Champion a culture of innovation and execution excellence

IT Strategy & Innovation Director – AI Transformation

• Discover AI/agent identity requirements across users, services, runtimes, tools, and APIs.
• Assess existing SSO, MFA, federation, and API authorization models; identify gaps in delegation, token lifecycle, scopes, secrets, and auditability.
• Design enterprise IAM patterns (user context propagation, delegation chains, BFF sessions, least-privilege access) and OAuth/OIDC client models.
• Define standards for securing agent tools, data access, and cross-domain integrations; align to zero trust and regulatory controls.
• Produce architecture artifacts (CAD/HLD/PSS) and reference implementations.
• Lead and build IAM POCs (end-to-end flows, token exchange, gateway enforcement, delegated agent access).
• Configure/test identity flows; troubleshoot tokens, scopes, and integrations.
• Implement or guide IAM integrations across gateways, BFFs, agent orchestration, and observability.
• Transition validated patterns to IAM engineering for production rollout.
• Define agent identity lifecycle (registration, credential rotation, revocation, environment separation).
• Integrate IAM across AI platform components; support CI/CD and IaC for IAM configurations.
• Establish patterns for human-in-the-loop controls, break-glass access, and rate limiting.
• Maintain documentation, decision records, diagrams, and runbooks.
• Deliver POC summaries, evaluations, and implementation guidance; communicate risks and dependencies.
• Ensure regulatory compliance; partner on threat modeling and controls (secrets, PAM, audit evidence).

AI IAM Architect

• Oversee departmental projects and initiatives focused on AI governance maturity, control enhancement, automation, and process optimization
• Facilitate cross-functional risk credible challenge reviews, lead assessment workshops, challenge sessions, and risk-acceptance discussions
• Collaborate on technology initiatives by partnering with Technology, Cybersecurity, Data Governance, and Model Risk
• Design KRIs and monitoring measures (inventory completeness, drift detection, HITL effectiveness, bias testing coverage)
• Author executive summaries and committee-ready narratives translating technical analyses into business impact
• Mentor junior associates and provide coaching, shadowing, and review feedback
• Champion continuous improvement and identify innovation opportunities

Artificial Intelligence jobs in Texas

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AI-ML Director

Senior Associate, Conversational AI, Agentic AI

AI Integration Specialist

Applied AI Specialist

Manager, AI Agents and Automation

Director of AI

Director of AI

Junior AI Adoption Consultant

Senior Director Analyst – IAM, IGA, PAM, Agentic AI

Senior Technology Delivery Manager, Gen AI

AI Analyst

Director – Business Manager, Retirement AI Strategy

Director, AI Governance

Senior Analyst, BISO AI

Senior Manager – AI Strategy, Market Intelligence

CoE Technical Expert – AI, Object Storage

Manager, AI Strategy – Transformation

IT Strategy & Innovation Director – AI Transformation

AI IAM Architect

Lead AI Risk Advisor