Artificial Intelligence

• Monitor the performance of Agentic Capabilities as they autonomously process various ticket types.
• Ensure seamless integration of AI agents into new or existing workflows, optimizing for efficiency and accuracy.
• Review fallout tickets (cases where AI agents cannot resolve issues) within a workflow management tool.
• Diagnose root causes, make necessary corrections, and re-ingest updated information to the AI system.
• Ensure all fallout tickets are actioned within a 48-hour window; unresolved tickets revert to the human-worked queue.
• Analyze fallout patterns to identify knowledge gaps, process inefficiencies, or opportunities for AI improvement.
• Develop and implement training protocols to enhance Agentic Capabilities, leveraging prompt engineering, model validation, and knowledge base updates.
• Collaborate with cross-functional teams (product, engineering, support) to align AI behaviors with business needs and compliance requirements.
• Maintain and update the agent knowledge base, ensuring accurate, current, and comprehensive content for AI agents.
• Document training methodologies, ticket resolutions, and process improvements for knowledge sharing and auditing.
• Validate AI performance through systematic review, testing, and user/stakeholder feedback.
• Ensure all processes comply with regulatory standards, ethical guidelines, and company policies.
• Track and report on key metrics: ticket resolution rates, fallout frequency, review turnaround times, and AI improvement outcomes.
• Communicate insights, best practices, and recommendations to stakeholders and leadership.

Senior Specialist, Quality/M&P/Process – AI Training Manager

• Architect and design end-to-end AI/ML solutions for the MediaOS platform
• Define and implement scalable ML pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring
• Lead the design of cloud-native, distributed AI systems leveraging modern frameworks and high-performance computing environments
• Partner with product, data engineering, and platform teams to translate business requirements into robust AI-driven solutions
• Establish and enforce MLOps best practices, including CI/CD, model versioning, observability, governance, and lifecycle management
• Evaluate and integrate emerging AI technologies, including Generative AI, LLMs, and NLP applications where applicable
• Drive data strategy alignment, ensuring high-quality, well-governed datasets to support model development and scalability
• Mentor and guide engineers and data scientists, fostering a culture of innovation, collaboration, and technical excellence
• Architect secure AI platforms, including authentication and authorization models (e.g., RBAC, ABAC)

AI/ML Architect, MediaOS Platform

• Run daily dispatch execution from our playbook
• Keep loads covered and customers informed
• Use AI tools daily to research, troubleshoot, draft, analyze, and automate your own work
• Improve the playbook as you go
• Call out problems early and come with proposed solutions
• Partner with engineering and product to turn recurring manual work into automated workflows
• Track the KPIs of your operation

AI Operations Associate

• Analyze system bandwidth, latency, and compute bottlenecks
• Model performance across CPU/GPU/NPU for AI workloads
• Simulate workload execution (PnP tradeoffs, resource contention)
• Optimize model execution (initialization time, caching, KV reuse)
• Drive HW/SW co-design (memory, caching, scheduling)
• Partner with ML teams to align model structure with system architecture
• Develops technology roadmaps for electrical/hardware engineering team; identifies gaps and solutions for future growth.
• Communicates strategy and technology roadmaps to executive staff, industry partners and customers.
• Provides innovative solutions and integrates advanced technologies, theories, or techniques with a significant impact across disciplines, championing large projects for long-range goals.
• Provides consultation, design input, and feedback for new product development and design reviews across multiple organizations and architectures.
• Works closely with product management, engineering stakeholders from related departments and empowers the teams to deliver outstanding and impactful results.
• Initiates industry-leading research and development, serving as a recognized lead authority internally and externally.
• Provides mentoring and guidance to less-experienced staff members to set an example of electrical hardware design and development, innovation, and excellence.
• Participates in and provides input on process for selection of future technical leaders.

Distinguished Technologist – AI Model Performance Architect

• Lead and develop the platform team, setting direction and driving execution across strategic initiatives
• Lead architecture execution across initiatives, ensuring high-quality delivery
• Design the application’s technical infrastructure
• Build a framework and execution plan to onboard segment- and division-specific applications into the platform
• Deliver self-service report and application management capabilities
• Improve enterprise platform CI/CD, maintainability, and long-term platform operability
• Modernize insight delivery by enabling the transition of key reporting workloads from traditional BI tools to AI-first experiences

Senior Manager, Internal Enterprise Analytics – AI Experience Gateway

• Own the full AI engagement arc from discovery through sustained workflow adoption
• Drive requirements and delivery precision to track against plans and surface risks early
• Champion continuous quality through testing and feedback loops during AI engagements
• Hold the R&D feedback loop accountable to ensure field learnings flow back
• Build playbooks to identify reusable patterns and scalable frameworks for the team
• Own engagement economics and track cost structure across active engagements
• This is a field-first role with expected travel to partner locations

AI Engagement Manager

• Lead a cross-functional product pod of Solution Consultants, Pega Configurators, and Business Analysts to deliver Pega-based workflow automation solutions aligned to business priorities.
• Provide day-to-day product direction, delivery oversight, mentorship, and issue resolution support to help the team meet commitments and maintain high execution standards.
• Own solution delivery from discovery and design through configuration, testing, deployment, and post-implementation feedback, with a focus on quality, usability, scalability, and control readiness.
• Work hands-on within Pega App Studio and Dev Studio to support solution design, configuration, testing, and implementation of workflow capabilities.
• Partner with architecture and engineering teams to ensure solutions align with platform architecture, technical standards, security requirements, and software delivery lifecycle expectations.
• Translate operational pain points, process inefficiencies, and business needs into clear product requirements, workflow designs, user stories, acceptance criteria, and delivery plans.
• Partner directly with operational leaders and business stakeholders to assess opportunities, shape solution options, manage expectations, and drive alignment on scope, priorities, benefits, and delivery timelines.
• Establish and monitor success measures for delivered solutions, including adoption, operational efficiency, user experience, quality, risk reduction, and other relevant business outcomes.
• Elevate product management practices across the team by improving intake, prioritization, roadmap planning, stakeholder communications, and outcome measurement.
• Identify and help resolve risks, issues, impediments, and dependencies that could impact delivery quality, control effectiveness, or business outcomes.
• Foster a collaborative, inclusive, and accountable team environment that supports talent development, clear communication, continuous improvement, and operational excellence.

Pega Product & Solution Delivery Lead – AI Case Management

• Drive DRAM layout activities for tightly coupled, high-performance memory for AI workloads
• Apply expert knowledge to deliver high-quality layout designs across analog, mixed-signal, and custom digital domains
• Drive layout designs for early architecture concepts to demonstrate feasibility and identify optimizations
• Collaborate and communicate across domains to ensure successful architecture exploration

Staff/Principal Layout Designer, AI-Optimized Memory

• Create and curate a pipeline for sovereign AI across North America
• Explain HPE's solutions aligned with data security protocols to customers
• Provide input to product management and engineering
• Collaborate with sales teams to pursue opportunities requiring high security

Chief Technologist, HPC, AI

• Define and maintain the AI transformation roadmap, aligned to operational priorities across Revenue, Data, BI, and go-to-market functions
• Establish OKRs for AI adoption, productivity impact, and tool ROI, and report progress to the senior leadership
• Evaluate, recommend, and govern the AI tool stack, balancing capability, cost, and organizational readiness
• Identify the highest-leverage AI use cases across business functions and sequence delivery based on impact and feasibility
• Build, prompt, and iterate on AI solutions directly by working in the tools
• Design and deploy agentic AI workflows that automate multi-step processes across business functions, moving beyond single-prompt tools to systems that reason, plan and act
• Work fluently with Model Context Protocol (MCP) servers to connect AI models to internal systems, data sources, and third-party tools, understanding how to configure, extend, and govern those integrations
• Use AI coding tools (including Claude Code and GPT Codex) to accelerate solution development, automate scripts, and build internal tooling without requiring full engineering resources
• Partner with the AI Admin on integrations, prompt libraries, and production readiness for new solutions
• Lead proof-of-concept work on emerging AI capabilities, stress-testing tools before broader rollout
• Manage and develop a small team, setting clear scope, priorities, and success metrics for each role
• Create a high-trust, high-output team culture grounded in curiosity, iteration, and business impact
• Own the AI governance framework for the organization. Define policies for acceptable use, data handling, model selection and vendor risk across all AI tools and workflows
• Establish guardrails for agentic AI systems, ensuring automated workflows have appropriate human-in-the-loop checkpoints, audit trails, and rollback procedures
• Partner with Legal, Security, and IT to ensure AI integrations meet data privacy, compliance and information security standards (including SOC 2, GDPR, or customer data handling requirements)
• Stay current on the evolving regulatory landscape around AI and proactively surface business implications before they become blockers
• Maintain a clear inventory of all AI tools, integrations, and MCP connections in use across the organization, with documented risk ratings and review cadences
• Serve as the primary point of contact for all AI needs across ActivTrak — any team, any function, any use case routes through you first
• Own and run the AI steering cadence: facilitate cross-functional meetings with business leads, set the agenda, drive decisions and ensure follow-through on commitments
• Lead up effectively. You're comfortable presenting roadmaps, risks and recommendations to senior leadership, and you know how to frame tradeoffs in business terms, not technical ones
• Influence without authority across peer functions. Build a case and bring people along
• Represent the AI Transform function in leadership forums and communicate progress, priorities and risks

Director, AI Transformation

• Own the AI adoption roadmap in lockstep with the Director, AI Transformation's delivery, ensuring every solution that ships has a corresponding change and enablement plan.
• Define, track and report adoption metrics for each AI initiative such as active usage, time-to-proficiency, self-serve rate on a regular cadence
• Tailor enablement approaches to align with business and department initiatives and department Identify adoption risks before and during rollout and bring mitigation options, not just problems
• Design and deliver training programs for every AI tool and workflow the team ships through live sessions, async content, quick-reference guides and peer learning formats
• Build and maintain a centralized AI use case library: a living resource of proven workflows, prompt templates and best practices for any employee to self-serve
• Develop plain-language guidance that translates the technical capabilities built by the team into content any employee can act on immediately
• Run regular enablement touchpoints with department leads and power users, embedding AI habits into existing workflows rather than creating parallel ones
• Stay current on AI tools and emerging capabilities. Understand them well enough to teach others to use them confidently
• Support the Director, AI Transformation in running the AI steering cadence. Own the logistics, prepare materials, capture decisions and drive follow-through on action items
• Facilitate department-level AI onboarding and working sessions independently
• Maintain a pulse on employee sentiment related to AI across functions to influence opportunities for enablement or support
• Build relationships with champions and influencers in each business function who can accelerate adoption from within their teams
• Own all internal AI communications, including launch announcements, Slack updates, newsletters, and leadership briefings, keeping the organization informed, engaged, and motivated
• Develop and maintain a consistent internal narrative around why AI matters at ActivTrak, grounding it in real employee outcomes and business impact rather than technology hype
• Create and manage feedback channels that make it easy for employees to share what's working and what isn't and synthesize that input into actionable insights for the business
• Partner with the Director, AI Transformation to communicate AI governance policies and acceptable use guidelines across the organization in ways that are clear, accessible and non-threatening
• Develop training and reference materials that help employees understand data privacy, compliance expectations and responsible AI use in their day-to-day work
• Track and report on governance-related feedback and questions from employees, helping to identify where policy clarification or reinforcement is needed

AI Change Management Lead

• Conduct deep-dive analysis into LLM architectures and agentic frameworks to identify potential security weaknesses, including risks associated with prompt injection and safety filter bypasses.
• Evaluate the security boundaries in Agent-to-LLM and Agent-to-Application interactions, focusing on how autonomous loops and multi-step reasoning processes can be secured against manipulation.
• Develop methodologies to test the robustness of RAG (Retrieval-Augmented Generation) pipelines and third-party tool integrations, ensuring resilience against adversarial inputs.
• Map research findings and defensive strategies to industry standards, such as the MITRE ATLAS framework and the OWASP Top 10 for LLM Applications.
• Contribute to the security community by publishing whitepapers or presenting research on the safety and security challenges of AI agents at industry conferences.

Senior AI/LLM Threat Researcher – AI Detection and Response

• Own the client-CEO relationship and the executive steering committee — as a peer, with real decision rights.
• Run the transformation cadence: weekly reviews, monthly finance-verified value reviews, and quarterly business reviews.
• Drive a fast, fixed-scope first win on the client's real data, then lead the full rollout (leadership first, then the wider team).
• Translate client problems into crisp, build-ready specs for remote engineers; own adoption and sign-off.
• Be personally accountable for a finance-verified outcome the client can see in their P&L.
• Build a portfolio of 2–3 marquee CEO accounts as each engagement matures.
• Own end-to-end rollout management — from kick-off through adoption, sign-off, and handover — ensuring every phase lands on time and to a measurable outcome.
• Codify the method after each deployment so the next one requires less ramp-up.

Client Deployment Lead, AI

• Join Pigment: The AI Platform Redefining Business Planning
• Work directly with customers to design, build, and deploy AI-powered planning solutions using Pigment.
• Own the end-to-end implementation of Pigment’s AI capabilities for strategic customers.
• Build & deploy AI-powered solutions
• Translate complex business problems into scalable Pigment models using AI agents, formulas, dimensions, and advanced logic
• Design, build, and deploy custom AI agents tailored to customer workflows and decision-making processes
• Partner with business and technical stakeholders to rethink processes and design AI-driven solutions
• Act as a trusted advisor, guiding customers on best practices
• Drive adoption and ensure customers maximize value from Pigment

AI Deployment Strategist

• Serve as a strategic advisor across The Cigna Group senior clinical and business leadership, translating enterprise and organizational priorities into actionable strategies.
• Identify emerging trends in clinical care integrating AI, digital health, and other emerging technologies to inform business planning.
• Engage external industry leaders, prospective partners, and other thought partners for strategy development and benchmarking.
• Partner with business units, finance, and other operating partners to create and validate business cases, along with KPIs/success metrics.
• Create and iterate on high-impact presentations, analyses, and briefing documents for C‑suite and enterprise committees.
• Act as a catalyst for change, positioning The Cigna Group clinical team as a strategic growth engine within the broader enterprise.
• Support the program design and refinement of differentiated technology and AI offerings, tailored to specific clinical and business needs.
• Collaborate with matrix partners across Cigna business units, along with operational partners in technology and data and analytics to ensure alignment and execution.
• Ensure operational readiness and scalability of new clinical programs and services.
• Track and report on initiative performance, ensuring alignment with financial and clinical impact goals.
• Develop executive-level communications, including strategy memos and stakeholder updates.

Principal, Enterprise Clinical Technology & AI Strategic Initiatives

• Design and implement integrations between client systems and CloudFactory’s platform
• Architect scalable agentic AI & human-in-the-loop workflows
• Define data ingestion, transformation, and feedback loops
• Evaluate system bottlenecks (latency, quality, throughput)
• Translate proof-of-concept AI systems into scalable production workflows
• Identify operational risks before deployment
• Partner with Delivery teams to ensure execution feasibility
• Improve reliability and reduce manual intervention
• Build APIs, connectors, automation scripts, and data pipelines
• Debug integration issues in client environments
• Contribute to internal platform enhancements
• Surface recurring patterns from client deployments
• Distinguish between custom solutions and reusable features
• Influence roadmap priorities with evidence from the field
• Lead technical discovery sessions
• Support pre-sales validation
• Act as trusted advisor to enterprise engineering teams

Forward Deployed Engineer – AI Deployment

• Administer and maintain the OneTrust AI Governance module, including intake workflows, AI inventory, use-case review, and control mapping
• Process and triage new AI use cases and requests, coordinating with Legal, Privacy, and Business stakeholders to ensure alignment with enterprise policy and risk appetite
• Support continuous cataloging of generative AI systems, large language models (LLMs), low-code/no-code automations, and AI agents in the environment
• Continuously evaluate advancements in AI and related threats to support informed governance and security decisions.
• Document risk decisions, mitigation plans, and approvals for AI initiatives
• Operate Zenity (Secure LCNC) to monitor Power Platform, Copilot Studio, and Salesforce automations for policy violations, data exposure, and unapproved agent actions
• Review and analyze findings from Upwind Cloud Security related to AI workloads, containers, or data services in cloud environments
• Deliver insights to leadership regarding AI-driven recommendations, usage patterns, and risk indicators
• Track remediation actions with development and engineering teams and verify closure of AI-related vulnerabilities
• Develop and maintain dashboards summarizing AI risk trends, inventory status, and compliance posture.
• Assist in the creation and maintenance of AI policies, standards, and procedures
• Partner with Privacy, Legal, and Information Security to ensure responsible AI usage aligns with regulatory and ethical expectations
• Provide input into AI-related audit and assessment activities

Analyst, BISO AI

• Leading development-focused AI initiatives, taking ownership of key projects from prototyping through to execution and leveraging personal initiative to drive progress
• Building, managing, and mentoring a high-performing team of AI specialists, fostering a culture of innovation, collaboration, and continuous learning
• Operating with a high degree of autonomy while ensuring alignment with strategic direction received from executive leadership
• Developing, owning, and championing the organization's AI product technology roadmap, ensuring it aligns with broader business objectives
• Driving the flawless execution of priorities set forth by the leadership team
• Driving a strategic and transformational approach for integrating next-generation AI into our products and platforms
• Frequently representing the company's AI technology positions and priorities with external partners, research institutions, and public-facing entities
• Identifying and recommending technology partnerships to drive product value, collaborating with internal teams to formalize these partnerships
• Proactively managing executive-level meetings through briefing materials, clear positions, and status updates on AI strategy and innovation
• Providing frequent guidance, feedback, and prioritization to a diverse team with complex technical assignments
• Driving financial discipline related to AI technology acquisition and implementation

Associate Director – AI Product Development

• 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 Platform

• lead the KCS Center of Excellence (COE) across the Cisco TAC organization
• be the primary architect of the global knowledge strategy
• mentor, manage, and provide strategic direction to a team of KM Leaders and KCS Knowledge Leads
• partner with Technology Group Owners, Technical Strategy Leaders, Engineering teams to integrate KCS practices with AI-driven support tools
• serve as the main liaison between Operations teams, Technology Group Owners, Product Leaders, and IT
• establish enterprise-wide governance for knowledge quality and accessibility
• drive the evolution of a 'knowledge-first' culture
• leverage industry benchmarking and internal data to iterate on processes, tools, and enablement strategies

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