Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences. The ideal candidate should demonstrate hands-on proficiency in Apex, Triggers, Lightning Web Components (LWC), Aura Components, and Flows.
Candidates must not be listed on any government restricted party lists (including OFAC SDN List and U.S. Commerce Department restricted lists) and must certify that their employment would not violate any sanctions or export control regulations. As a Senior AI Security Engineer, you will lead the development and implementation of security frameworks for our end user and 3rd party SaaS AI systems, combining strategic thinking with hands-on technical expertise.
Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. Manager is responsible for the hands-on implementation and integration of AI agents, ensuring seamless tool integrations (such as with analytics software), efficient code deployment, and ongoing performance optimization.
You will define the strategy, operating model, metrics, and governance needed to continuously improve control effectiveness across on‑premise and cloud environments and ensure AI-enabled workflows operate within enterprise security, privacy, and data protection expectations by detecting misuse, configuration drift, and control gaps. Our team focuses on reducing systemic risk by strengthening baseline security controls, improving configuration hygiene, and building scalable programs that enable safe adoption of modern and AI-enabled technologies across the enterprise.
li>Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.
What makes this role distinct is that you will also architect and operate the AI-assisted proposal workflow: building and maintaining the answer corpus, tuning retrieval pipelines, and managing the human review loop that ensures every response is accurate, competitive, and on-brand. As a wholly owned subsidiary of Constellation Software Inc. ("CSI", symbol CSU on the TSX), Harris has become the cornerstone for CSI's investment in utility, local government, school districts, public safety, and healthcare software verticals.
This is a great opportunity for someone who thrives in an ambiguous, fast-changing, highly matrixed environment and enjoys working cross-functionally with teams like HR Business Partners, Talent Acquisition, Talent Management, Total Rewards, and People Operations. In this role, you'll play a key role in improving the effectiveness, scalability, and innovation of the HR organization by leading complex, cross-functional initiatives and identifying opportunities to leverage AI and automation across HR processes and workflows.
p style="min-height:1.5em">As a Staff Engineer on the AI team, you’ll design, build, and extend Sema4.ai’s cognitive architectures—the core platform at the center of our agents. Take on problems where the shape of the solution isn’t obvious: improving agent reliability, managing long-running workflows, balancing cost and performance, and integrating new model capabilities responsibly.
While performing the duties of this job, the employee is regularly required to sit, stand, walk, bend, use hands, operate a computer, and have specific vision abilities to include close and distance vision, and ability to adjust focus working with computer and business equipment. In order to ensure SG complies with its regulatory and contractual commitments, as a condition to hiring and continuing to employ its employees, SG requires all of its employees to meet those requirements that are necessary to fulfill their individual roles.
An employee’s pay position within the pay range will be based on several factors, including relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics, and business or organizational needs. + Real-Time Knowledge Movement: Replace batch dependencies with event-driven pipelines so the knowledge graph and every downstream AI consumer operate on current reality, not yesterday’s snapshot.
Internal control support, validation documentation, compliance mapping, and performance reporting: Map system workflows and AI-enabled enhancements to applicable OMB Circular A-123 control objectives; Prepare monthly internal control support documentation, including change logs, reconciliations, access review summaries, audit log summaries, and testing artifacts for Government review. Technical Documentation: Develop and maintain a Configuration Baseline Package with version history; Develop and update system administration guides and operational runbooks; Maintain configuration files, scripts, and related artifacts in open, reusable formats consistent with NARA guidance and FAR 52.227-14, Rights in Data - General.
High-value differentiators: DRG/APR-DRG auditing (MS-DRG/APR-DRG assignment validation, upcoding/DRG creep, LOS & medical necessity review); experience with medical necessity triggers, high-cost drug/services, pharmacy & DME integrity, behavioral health and Psychotherapy coding. Synthetic Healthcare Data CurationReviewing and curating synthetic datasets generated by AI and data engineering teams to ensure they accurately reflect real-world healthcare claims, medical records, and diagnostic imaging clinical scenarios.
li> 10+ years of go‑to‑market or product marketing, with demonstrated ownership of end‑to‑end GTM strategy and execution, including the design of scalable, repeatable systems and playbooks that drive durable adoption beyond initial launches, for complex products or platforms at enterprise or global scale. Experience operating at Director scope, setting strategy and direction across multiple teams, regions, or motions, and driving outcomes through influence, systems, and leaders rather than direct execution-including decisions on when to accelerate growth and when to slow to protect trust.
It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. With a builder-advisor ("forward deployed") mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.
The AI Cloud Security and Infrastructure Engineer designs, implements, and maintains secure, scalable cloud environments optimized for AI‑driven applications and focuses on enabling the eMerge Custom Solutions team to securely build and deploy solutions powered by Large Language Models (LLMs) and other advanced AI technologies. Exceptional written and verbal communication skills, with the ability to effectively engage both technical and non-technical stakeholders and the ability to clearly communicate complex technical concepts to non-technical stakeholders.
li> The "Tech-Touch" Playbook: Expertise in designing automated customer-impacting workflows that feel highly personalized and intuitive, shifting away from human-dependent models to tech-touch platforms. Data Partnerships: Partner directly with Data Engineering leadership to define CX business requirements for customer data, ensuring backend data models are "AI-ready" and capable of triggering intelligent customer interventions.
It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws.
WTW provides a competitive benefit package which includes the following (eligibility requirements apply): Health and Welfare: Mental health/emotional wellbeing (including Employee Assistance Program), medical (including prescription drug coverage and fertility benefits), dental, vision, Health Savings Account, Commuter Accounts, Health Care and Dependent Care Flexible Spending Accounts, company-paid life insurance, supplemental life insurance, AD&D, group accident, group critical illness, group legal, identity theft protection, wellbeing program, adoption assistance, surrogacy assistance, auto/home insurance, pet insurance, and other work/life resources. Deep hands‑on expertise in Microsoft Sentinel, including architecture, SIEM/UEBA, KQL, custom detections, automation, Sentinel Data Lake, MCP, Sentinel Graph, and Agentic AI-driven security.
Maintain a deep working knowledge of the Facilities tech stack (Autodesk Construction Cloud, Revit, Kahua, and proprietary system) to build solutions that fit how people actually work Communicate impact to leadership in business terms - dollars, days, headcount equivalents - not just technical metrics Qualifications Required Qualifications & Skills 7+ years in a technical role - software development, product ownership, technical program management, or similar Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related technical field; OR equivalent practical, hands-on experience in lieu of a degree Demonstrated experience building enterprise apps with AI-assisted coding tools (Cursor, GitHub Copilot, Claude Code, OpenAI Coxed, and equivalent) Working knowledge of prompt and skill engineering, AI agent design and orchestration, and LLM application development Ability to connect systems via APIs and configure workflow automations end-to-end Strong UI/UX instincts - can produce functional, clean interfaces without a design team Excellent communication skills; equally comfortable in a whiteboard session with leadership or a working session with ops teams Self-directed; thrives in ambiguous environments and can quantify and communicate the business impact of technical work in terms of cost savings, time reduction, and operational efficiency Preferred Qualifications Familiarity with large-scale construction, real estate, or capital programs Experience with enterprise AI tools like Glean or similar knowledge management platforms Exposure to MCP (Model Context Protocol) frameworks and multi-agent architectures Prior experience shipping internal tools in a non-engineering business unit Track record of upskilling peers or running internal training on new technologies #LI-Hybrid Pay Disclosure The salary range for this role is USD 125,800-157,200 for Georgia based applicants. Responsibilities Build & Deploy Design, build, and deploy internal applications, agents, and multi-step automations using LLM-assisted development tools (Cursor, Gemini, Claude, Glean, etc.) targeting the highest-cost manual processes across the Facilities org, such as project reporting, cost tracking, change order management, schedule forecasting, document review, cross-functional coordination, and vendor coordination Connect Facilities platforms (ACC, Procore, Kahua, FOS, Databricks) via APIs and MCP integrations to create seamless, intelligent workflows that unify siloed data and eliminate duplicate work Stand up production-ready enterprise solutions where speed and simplicity are prioritized over engineering complexity.
ul> Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws.
ul> About the job youre considering As an AWS Cloud Presales Solution Architect specializing in the Amazon suite of AI products, youll be a trusted advisor and thought leader, empowering clients to leverage the full potential of AWS Cloud technologies to revolutionize their customer experiences, sales, marketing, and supply chain operations.
You will play an instrumental role in Ovid re-platforming and development of Ovid.com to capture GenAI enabled market opportunities in agentic medical research to sustain Ovid subscription businesses, enhance and extend the Ovid brand, manage intellectual property from development, and foster targeted business and technology partnerships.
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p>Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics. Optimize Operational Workflows: Collaborate with Finance, Facilities, and Information Technology teams to build robust Extract, Transform, Load (ETL) pipelines and integrate predictive tools into existing warehouse and logistics software.
We're looking for highly experienced software engineer (SR+) to help evaluate the quality of interactions with modern coding agents such as OpenAI Codex and Claude Code. We're specifically looking for engineers who can answer questions like: Does this feel like something a strong engineer would actually say?.
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Requires advanced knowledge and skills including technical or functional expertise, business acumen, financial analysis skills, risk management, delegation skills, critical thinking, and decision-making skills. We are looking for leaders that are energized by creative and critical thinking, building and sustaining high-performing teams, getting results the right way, and fostering continuous learning.
Guide and supervise coding assistants and AI agents (ChatGPT, Cursor, Claude) to accelerate delivery while ensuring correctness, security, and maintainability • Design and operate event-driven architectures using AWS native services and messaging middleware. Expert-level understanding of enterprise integration patterns, including: o Event-driven and asynchronous integration o API-based and message-based communication o Workflow orchestration and choreography o Integration with shared enterprise services.
p>Within the first few months, this individual will be building AI-powered proof-of-concepts, developing intelligent agents, leveraging GCP and BigQuery data assets, and helping shape the future direction of AI innovation initiatives across the organization. This is an ideal opportunity for a highly motivated builder who enjoys working in fast-moving environments, learning new technologies quickly, and turning ideas into working solutions.
The Corporate Audit Services (CAS) Senior Audit Manager supports the Audit Director and Senior Audit Director, in providing the Audit Committee and senior management with independent assurance and advisory services designed to evaluate and improve the effectiveness of risk management, control, and governance processes of U.S. Bancorp (USB), affiliates, wholly owned subsidiaries and entities where USB owns a majority (controlling) interest. Relevant Financial Service Industry and Technical knowledge (e.g., Lending, Banking Operations, Trust, Information Security, Disaster Recovery Planning, etc.), including understanding of risk theory, control frameworks, applicable financial services industry trends, laws and regulations; and impact of government legislation and regulation on business.
_FY2027_v2 | PowerPoint] Training & Staff Support Develop simple, user-friendly training materials for staff Support AI training sessions and learning cohorts Create templates, prompts, and guides to help staff adopt AI tools Documentation & Sustainability Create step-by-step SOPs for data systems and AI workflows Build a centralized knowledge hub for staff resources Develop a sustainability plan so systems continue after the VISTA term.
p>The Corporate Audit Services (CAS) Senior Audit Project Manager partners with their assigned Line of Business, other Risk/Compliance/Audit (RCA) professionals, and RCA Managers to, depending on their function, create, implement, maintain, review or oversee an effective risk management framework. In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.
p>Newell Brands (NASDAQ: NWL) is a leading global consumer goods company with a strong portfolio of well-known brands, including Rubbermaid, Sharpie, Graco, Coleman, Rubbermaid Commercial Products, Yankee Candle, Paper Mate, FoodSaver, Dymo, EXPO, Elmer's, Oster, NUK, Spontex and Campingaz. This role focuses on shaping the design of AI-enabled systems, addressing security risks early in the development lifecycle, and contributing to secure-by-design solutions that ensure AI initiatives strengthen rather than expand the organization's risk profile.
li>Senior Leadership Experience: 12+ years of progressive professional experience, including 7+ years leading managers and teams, with extensive experience in senior technology leadership roles (Director level or higher) building and scaling high-performing engineering and data science organizations.
You will own the cross-product Artificial Intelligence (AI) strategy, identifying primary business growth areas through implementation of AI and coordinating with FIS BPaaS teams and our clients to drive FIS' market-leading and next-generation product offerings. As a Product Manager II, you will work closely with our functional partners across Client Support, Development, and Professional Services to ensure the end product being delivered to clients allows the business to continue to hit sales targets and meet client requirements.