• You are responsible for delivering complex AI projects from proof of concept through to production. • You lead AI strategy workshops with C-level decision-makers. • You design AI solutions across the full spectrum: Generative AI, traditional Machine Learning, Computer Vision, and MLOps. • You act as the primary point of contact for clients and develop long-term partnerships. • You contribute to knowledge building through publications, conference presentations, and thought leadership.

At PwC, our people in business services and support focus on providing efficient and effective administrative support to enable smooth operations within the organisation. This includes managing schedules, coordinating meetings, and handling confidential information. Those in operations and strategy at PwC will track, manage, and report on strategic initiatives and projects. In this role, you will support leaders by handling key responsibilities, representing their point of view in meetings and decisions, and anticipating their future needs. Additionally, you will organise leadership team calls and meetings, oversee research and data analysis, promote consistent execution across sectors, and collaborate across lines of service for knowledge sharing and promoting technology/tools for sales and delivery. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Analyse and identify the linkages and interactions between the component parts of an entire system. Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. Develop skills outside your comfort zone, and encourage others to do the same. Effectively mentor others. Use the review of work as an opportunity to deepen the expertise of team members. Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. The Opportunity As part of the AI Commercialization team you will lead the execution of our firm's AI commercialization strategy across key leadership segments and priority accounts. As a Manager you will drive measurable AI adoption, influence go-to-market strategy, and embed scalable AI-enabled approaches into commercial operations. This role operates at the intersection of AI capability, commercial growth, and transformation, translating AI initiatives into revenue-aligned results and maintaining a stable competitive edge. Responsibilities - Integrate scalable solutions into business processes - Maintain a competitive advantage through innovative AI applications - Work with leadership to align AI efforts with business objectives - Foster a culture of continuous improvement and transformation in AI practices What You Must Have - High School Diploma - At least 5 years of experience in consulting, AI strategy, digital transformation, or commercialization roles What Sets You Apart - Bachelor's Degree preferred - Demonstrating advanced knowledge of Generative AI tools - Driving execution of Commercial AI strategy - Evaluating complex business challenges strategically - Leading quantitative analysis for strategic decisions - Influencing senior stakeholders with executive presence - Designing scalable enablement frameworks - Committing to continuous learning in AI trends - Building and maintaining internal and external networks The salary range for this position is: $73,500 - $212,280. For residents of Washington state the salary range for this position is: $73,500 - $244,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy. Learn more about how we work: https://pwc.to/how-we-work For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

Title: Senior/Staff Software Engineer, AI/ML Location: Remote|New York, New York|Onsite Job Description: Who is Recruiting from Scratch: Recruiting from Scratch is a premier talent firm that focuses on placing the best product managers, software, and hardware talent at innovative companies. Our team is 100% remote and we work with teams across the United States to help them hire. Senior/Staff Software Engineer, AI/ML Location: New York, NY / San Francisco, CA / Seattle, WA (Hybrid or Remote Eligible) Company Stage of Funding: Late-Stage Growth / Series F+ Office Type: Hybrid (NYC 3x/week) or Remote in approved hub cities Salary: $220,000 – $300,000 + Competitive Equity Visa: No sponsorship available Company Description Our client is building the world’s largest virtual clinic for women and families, serving over 2,000 employers and health plans globally. They are becoming an AI-native healthcare organization and are building foundational AI infrastructure that powers critical experiences across their platform — including chatbots, recommendation engines, search, intelligent workflows, and GenAI-powered healthcare experiences. Backed by top-tier investors including Sequoia, General Catalyst, Dragoneer, and Lux Capital, the company has raised over $425M and is operating at massive scale across fertility, maternity, pediatrics, menopause, and family healthcare. This is an opportunity to join a foundational AI engineering team where you will directly shape the future of AI-powered healthcare products used by millions of users. What You Will Do Design, build, and deploy end-to-end AI-powered applications and infrastructure Build production-grade LLM systems using RAG, agent frameworks, orchestration layers, and modern AI tooling Develop AI-powered chatbots, recommendation engines, search systems, and intelligent workflows Own AI/ML product development from 0-to-1, from architecture through production deployment Design scalable ML pipelines for experimentation, fine-tuning, evaluation, and deployment Work closely with product, data, analytics, and engineering teams to deliver AI-native product experiences Build backend systems and APIs supporting AI workloads and inference pipelines Drive technical architecture and engineering best practices across AI systems Work with modern AI platforms including OpenAI APIs, Vertex AI, PyTorch, TensorFlow, and agent frameworks Translate healthcare and user data into intelligent, production-ready AI systems Contribute to AI platform strategy and help shape the company’s long-term AI roadmap Operate autonomously in a fast-moving, highly ambiguous AI product environment Balance rapid iteration with scalability, safety, reliability, and performance Collaborate cross-functionally with product and business stakeholders to identify impactful AI opportunities Stay current with emerging LLM, RAG, and agentic AI technologies and integrate them into production systems Ideal Candidate Background 6–15 years of experience in software engineering or AI/ML engineering roles Strong software engineering foundation with backend-heavy product engineering experience Experience building AI/ML products end-to-end in production environments Hands-on experience with LLMs, RAG systems, and agent frameworks Experience shipping production AI products from 0-to-1 Strong Python engineering experience Experience with chatbot systems, recommendation engines, search, or GenAI applications Experience working across the full ML lifecycle including ingestion, preprocessing, training, deployment, and monitoring Strong distributed systems and backend architecture skills Experience collaborating closely with product and cross-functional teams Comfortable operating autonomously in fast-moving startup or high-growth environments Strong builder mentality with high ownership and execution ability Comfortable writing production-grade code without heavy AI tooling dependence Ability to explain AI systems and technical tradeoffs clearly to non-technical stakeholders Strong Signals Experience building production LLM applications at scale Experience with RAG architectures and retrieval pipelines in production Experience with AI agent frameworks and orchestration systems Experience building chatbot, recommendation, or intelligent search systems Strong backend engineering foundation transitioning into AI/ML Experience with OpenAI APIs, Vertex AI, LangChain, LlamaIndex, or similar tooling Healthcare or digital health AI experience Experience handling high-volume production AI workloads Experience measuring production AI system performance and reliability Strong product-minded engineering instincts Experience working at high-growth product companies Experience owning projects from architecture through deployment Experience balancing ML experimentation with production engineering rigor Strong understanding of distributed systems and scalable infrastructure Experience working with PyTorch or TensorFlow Strong coding interview and system design capability Ability to discuss production metrics, scale, and operational performance of AI systems Experience building AI features with meaningful user or business impact Experience working on AI-powered user-facing products instead of purely internal ML infrastructure Compensation and Benefits Base salary: $220,000 – $300,000 Competitive equity package Opportunity to help build foundational AI infrastructure at massive scale Work directly on cutting-edge AI systems impacting millions of healthcare users Exposure to advanced LLM, RAG, and agentic AI deployment challenges Strong technical ownership and autonomy High-growth healthcare AI company trajectory Backed by Sequoia, General Catalyst, and other top-tier investors Collaborative, product-focused AI engineering culture Why Join This is an opportunity to join one of the most ambitious AI transformations happening in healthcare today. You’ll work on foundational AI systems powering healthcare experiences at massive scale while helping define how AI-native healthcare products get built responsibly and effectively. If you enjoy building production AI systems, shipping 0-to-1 AI products, solving hard engineering problems, and operating at the intersection of backend engineering and modern AI infrastructure, this role offers exceptional scope and impact.

Title: User Experience Designer, AI Solutions Locations: Chicago Austin Boca Raton Atlanta Wilmington time type Full time job requisition id R-100753 Build your big career with the firm that does Big Law, Better. McDermott Will & Schulte is a leading global law firm that brings together more than 1,700+ lawyers and 1,400 business professionals. We celebrate excellence, collaboration, and community and have been recognized as a top workplace by USA Today, Fortune, The American Lawyer, Vault and others. We are also certified by Great Place to Work. At McDermott, we don’t just invest in your future, we accelerate your career – wherever it may lead. That includes supporting you both in and outside of the office. With us, you’ll find: - A firm where everyone belongs: Our award-winning culture prioritizes warmth and authenticity — we encourage you to be yourself! - Enthusiasm for all perspectives: We’re smarter and stronger when everyone has a voice and a seat at the table. We welcome unique viewpoints and ideas, and we make opportunities for you and your career to thrive. - Support to feel your best and do your best: Wellness is integral to building a successful career and a rich life. That’s why our benefits program supports your physical, emotional, mental, and financial health, with an emphasis on work-life balance. - Real rewards for real work: We offer generous compensation packages that recognize hard work and excellence. Job Description: McDermott, Will & Schulte LLP is building one of the most ambitious AI programs in the legal industry — and great design is central to making it work. We're looking for a UX Designer to serve as the design authority across our AI Solutions Delivery team: advising analysts on UX approaches, setting the quality bar for every user-facing solution we ship, and stepping in to drive design directly when it matters most. This is not a production design role. It's a judgment role — for a designer who can look at an AI-generated interface and immediately know what's right, what's wrong, and exactly how to make it better. WHY MWS - Shape the design language of an entirely new category of legal AI tools — from the ground up - Work at the intersection of cutting-edge AI and one of the world's leading law firms - High-impact advisory role — your design judgment directly influences every solution the team ships - Remote-first, collaborative team that moves fast and values craft WHAT YOU'LL DO - Serve as the UX authority for the AI Solutions Delivery team — advising analysts on design approach, interaction patterns, and user experience strategy for every solution they build - Review AI-generated UIs produced via AI-assisted development platforms, providing precise, actionable design direction to iterate toward production quality - Drive UI design directly for high-visibility or complex solutions, taking ownership from concept through delivery - Establish and maintain UX standards and design patterns across the firm's growing library of AI-powered tools - Conduct lightweight user research and stakeholder feedback sessions to validate design decisions with attorneys and operational teams - Champion accessibility, consistency, and usability across all solutions — ensuring AI tools are intuitive for legal professionals, not just technically functional - Stay ahead of evolving AI interface patterns, conversational UX, and agentic workflow design — bringing emerging best practices to the team WHAT YOU BRING - 3+ years of UX or product design experience, with a portfolio of shipped digital products - Strong design judgment — the ability to evaluate any interface, articulate exactly what's working and what isn't, and direct iterative improvement with precision - AI fluency — you use AI tools regularly, understand their output, and can direct AI-assisted design workflows rather than being dependent on traditional design tooling - Experience designing for complex workflows — multi-step processes, data-dense interfaces, or tools used by professional or expert users - Excellent communication and advisory skills — you can explain a design decision to a non-designer stakeholder as confidently as to a developer - Solid grasp of accessibility standards, responsive design, and web UI fundamentals - Bachelor's degree in Design, HCI, Computer Science, or equivalent demonstrated experience Preferred - Experience designing conversational interfaces, AI agents, or prompt-driven workflows - Familiarity with AI-assisted development and design tools, including code-generating and UI-generating platforms - Exposure to legal, financial, or other professional services environments - Experience contributing to or establishing a design system in a fast-moving organization DESIGN PHILOSOPHY We are tool-agnostic. Whether you reach for Figma, an AI-assisted development platform, a whiteboard, or a live prototype depends entirely on what the situation calls for. What we care about is design judgment — the ability to make the right call, explain it clearly, and raise the bar on everything the team ships. Successful candidates will be provided with outstanding career opportunities and will receive a competitive total rewards package with the opportunity to earn performance-based bonuses. Target Hiring Range $110,000 - $169,000 Please note that quoted salary ranges are not guarantees of what final salary offers may be. Base pay is based on market location and may vary depending on job-related knowledge, skills, experience, and geographic location. Base pay is only one part of the Total Rewards that MWE provides to compensate and recognize our staff professionals for their work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits package. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. #LI-JL1 #LI-Hybrid Physical Demands and Work Environment: The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Physical Demands: - While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear - Employee must occasionally lift up to twenty (20) pounds Work Environment: Typical indoor office environment Disclaimer: The above statements are intended to describe the general nature and level of the work being performed by people within this classification. They are not intended to be an exhaustive list of all responsibilities, duties and skills required of employees assigned to this job.