Role Description - Define, architect, and implement comprehensive verification plans and environments for IP blocks and full chip from specification to tape-out. - Help build verification infrastructure from ground zero to flexible and nimble environments, able to move quickly and scale for growth. - Take full ownership of the verification lifecycle, including the development and maintenance of scalable testbenches, sophisticated test cases, and robust verification environments. - Deploy industry-standard methodologies (UVM/SystemVerilog) to conduct constrained-random stimulus generation, coverage-driven verification, and assertions. - Collaborate closely with digital and analog design teams, as well as software and systems teams, to define verification requirements, debug complex hardware/software interactions, and ensure design integrity. - Perform exhaustive analysis of functional and code coverage. Debug failures at the RTL and gate level to ensure 100% verification closure and high-quality silicon. Qualifications - Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, or a related field, or equivalent practical experience. - Minimum of 8 years of hands-on experience with advanced verification methodologies and languages, specifically UVM and SystemVerilog. - Proven track record of developing and maintaining complex verification testbenches and automated test environments. - Proficiency in scripting languages (e.g., Python, Shell, or Bash) for automation of verification flows and result analysis. - Strong familiarity with general-purpose operating systems such as Linux, and industry standard tools from companies such as Cadence and Synopsys. Requirements - Master's degree or Ph.D. in Electrical Engineering or Computer Science, with a specific emphasis on computer architecture (preferred). - Expert-level knowledge of UVM architecture and high-level behavioral modeling (preferred). - Experience with modern AI-driven code generation tools (preferred). Benefits - A comprehensive package including best-in-class health benefits. - 401k matching. - Truly unlimited PTO. - Complimentary meals in our Palo Alto office.

Role Description At Lumen, we are building the digital backbone for the AI economy. As we accelerate our AI ambitions, we are looking for an experienced enterprise leader who can turn fragmented efforts into a disciplined system for prioritizing, building, governing, and scaling AI. In this role, you will define how AI work gets done across Lumen by establishing the operating model, governance, standards, and execution discipline that move initiatives from idea to pilot to production and scale. This is not a centralized AI delivery role. It is a high-impact leadership opportunity for a strategist and operator who can help teams across the company build AI consistently, responsibly, and with measurable business value. Main Responsibilities - Define and evolve the enterprise AI operating model - Define how AI opportunities are identified, prioritized, governed, built, scaled, and measured across the enterprise - Establish clear roles, decision rights, lifecycle stages, and accountability across functions - Build and run the AI portfolio system - Create a transparent enterprise view of AI initiatives, including value, ownership, stage, risks, and dependencies - Lead portfolio review mechanisms that support prioritization, investment decisions, and trade-offs - Drive prioritization and decision discipline - Partner with AI, engineering, finance, HR, and business leaders to focus resources on the highest-value work - Apply rigorous decision frameworks across feasibility, readiness, reuse, risk, and sequencing - Establish governance-by-design - Establish risk-based governance that enables speed within clear guardrails - Embed responsible AI practices into the delivery lifecycle rather than relying on post-hoc review - Define AI standards and quality bar - Set enterprise standards for LLMs, agents, evaluation, monitoring, reliability, and human oversight in partnership with engineering - Define a shared enterprise quality bar for AI performance, safety, and business impact - Enable reuse and enterprise scale - Drive a build-once, reuse-many approach through shared patterns, agents, workflows, APIs, and reference architectures - Reduce duplication and strengthen enterprise-wide AI capability - Design hybrid human-agent operating models (with HR) - Partner with HR to define how teams evolve from people-only models to people-plus-agent operating models - Clarify ownership, accountability, and decision-making in hybrid work environments - Provide internal and external AI thought leadership - Shape executive decision frameworks and the enterprise AI narrative - Translate AI strategy into clear, credible messaging for internal and external audiences Qualifications - 10+ years of experience in AI, digital, or technology leadership - 5+ years leading complex, cross-functional AI initiatives across business, engineering, and data organizations - Deep expertise in modern AI, including LLMs, agents, evaluation, orchestration, monitoring, and production trade-offs - Proven ability to design scalable execution systems, including operating models, governance frameworks, technical standards, portfolio management, value tracking, and executive decision forums - Strong business and technical judgment across AI, engineering, product, and data - Ability to balance speed, quality, risk, reuse, and enterprise impact - Create clarity and momentum in ambiguous situations - Influence senior leaders and stakeholders without direct authority - Excellent communication skills, with the ability to translate complex AI concepts into clear, executive-ready narratives - Credibility as an internal and external AI thought leader Compensation This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors. - $174,876 - $233,168 in these states: AL, AR, AZ, FL, GA, IA, ID, IN, KS, KY, LA, ME, MO, MS, MT, ND, NE, NM, OH, OK, PA, SC, SD, TN, UT, VT, WI - $183,621 - $244,827 in these states: CO, HI, MI, MN, NC, NH, NV, OR, RI - $192,364 - $256,486 in these states: AK, CA, CT, DC, DE, IL, MA, MD, NJ, NY, TX, VA, WA Benefits - Comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional, and financial wellbeing.

• Own and drive Intradiem's internal AI transformation roadmap, translating company strategy into a prioritized, phased execution plan • Define and manage the AI use case pipeline across intake, evaluation, prioritization, and sequencing across all business functions • Serve as the organizational owner of Intradiem's AI operating model, driving the shift from ad hoc adoption to structured, scalable capability • Establish enterprise AI architecture through strategic framework selection and standardized, reusable development patterns that support consistent delivery across the business • Lead and grow a dedicated AI Enablement team responsible for use case delivery, workflow automation, and business enablement • Balance strategic direction with hands-on involvement, willing to lean in directly on tooling, architecture decisions, and use case execution where needed • Own the management, administration, and optimization of internal AI tools and platforms, ensuring they are well-governed, widely adopted, and delivering measurable value • Report directly to the VP of Technology and serve as the primary internal voice and decision-maker for AI transformation • Evaluate, select, and manage AI products, platforms, and services in partnership with the VP of Technology, with authority to move at speed and scale • Support AI transformation budget allocation in coordination with leadership, ensuring spend is tied to measurable business outcomes • Build, manage, and chair the AI Center of Excellence, Intradiem's cross-functional steering body for AI prioritization, adoption, and accountability • Establish and maintain AI governance frameworks covering responsible use policies, intake processes, and decisioning in partnership with Legal, Security, Compliance, and the People Team • Serve as the designated internal spokesperson for the AI program, collaborating across teams and with strategic partners to communicate progress and maintain alignment • Lead change management efforts to move the business through the AI transformation, building fluency, confidence, and sustainable adoption at all levels • Design and deliver role-based, in partnership with Learning Services, AI enablement programs, workshops, and learning initiatives tailored to technical and non-technical teams • Partner with functional leaders to identify, develop, and deploy AI solutions that reduce manual work, accelerate decisions, and create competitive leverage • Foster a culture of experimentation, innovation, and AI fluency across the organization • Develop and own key AI KPIs tracking adoption, active use cases, time-to-value, and business impact (including ROI and cost/efficiency savings) • Drive quarterly goal accountability for the AI program, reporting progress to leadership and the steering committee • Stay current on emerging AI technologies, regulatory developments, and industry trends to continuously sharpen strategy and decision-making

Role Description The Office of the Ombudsman for United Nations Funds and Programmes is seeking an AI Innovation and Mediation Intern with a technology-focused academic background and a strong interest in Alternative Dispute Resolution (ADR) to support the Mediation Unit’s technology and AI-enabled initiatives. - Support the development of AI tools for mediation practice: - Contribute to the research, prototyping, and testing of AI-supported tools for mediation. - Help design and automate workflows, templates, and case management processes. - Structure and analyze mediation data. - Assist in the development of UN reporting tools. - Explore decision support concepts such as “AI judge” prototypes. - Help integrate generative AI into training materials and mediation support functions. - Deliverables may include using UN-authorized AI tools such as Copilot and Gemini: - Creating AI systems and workstreams to make mediation work more efficiently. - Prepare a list of AI resources that could be useful for mediation work. - Develop AI chatbots to guide the Ombudsman Office regarding resources of the organizations it serves. - Create AI Judge dedicated spaces based on UNDT and UNAT cases on specific topics of concern. - Create automations for case management. - Develop case data snippets. - Suggest any other AI application tools for mediation and ombuds practice. - Support the mediation unit’s training and project activities: - Involved in the preparation of the mediation unit’s training materials, projects, and coordination of various events. - Create AI-efficient training mechanisms and tools. - Explore and suggest AI tools useful for mediation and ombuds training. - Other administrative and substantive support as required. Qualifications - Be enrolled in a postgraduate degree programme in computer science, information systems, data science, AI, software engineering, or related technology fields; or - Be enrolled in the final academic year of a first university degree programme in a relevant technology field (such as a bachelor’s degree or equivalent) or have recently graduated from a relevant technology programme within one year; or - Be enrolled in a postgraduate professional traineeship program in a technology field and undertake the internship as part of this program. - Master’s degrees in Law, Human Resources, Organizational Behaviour, Psychology, Counselling, and other social sciences may be considered if accompanied by strong technological and technical skills. Requirements - Demonstrated experience or coursework in AI, automation, data analysis, and software tools. - Strong understanding of AI tools and systems, especially Copilot and Gemini. - Familiarity with workflow automation, data visualization, or prototyping tools is desirable. - Strong interest in mediation and broader alternative dispute resolution, including arbitration and negotiation is required. - Experience with generative AI tools is an advantage. - Knowledge of ADR systems and disciplines is highly preferred, and some work experience will be an advantage. - Fluent written and spoken English is required. Knowledge of other languages is an advantage. Benefits - Duration: 3 months (an extension of another 3-month period may be considered). - Modality: Full-time. - Location/Modality: The internship may be conducted in person in New York or virtually, subject to the needs of the Office and agreement with the supervisor. - Stipend: UNDP interns receive a monthly stipend in accordance with the applicable UNDP Internship Policy. - For New York-based in-person internships, the current rate is USD 1,000 per month. - For remote internships, the stipend rate will be determined based on the candidate’s physical location.