At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. You will work on developing predictive models, conducting statistical analysis, and creating data visualisations to solve complex business problems. Growing as a strategic advisor, you leverage your influence, expertise, and network to deliver quality results. You motivate and coach others, coming together to solve complex problems. As you increase in autonomy, you apply sound judgment, recognising when to take action and when to escalate. You are expected to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together. Your ability to develop and sustain high performing, diverse, and inclusive teams, and your commitment to excellence, contributes to the success of our Firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: Craft and convey clear, impactful and engaging messages that tell a holistic story. Apply systems thinking to identify underlying problems and/or opportunities. Validate outcomes with clients, share alternative perspectives, and act on client feedback. Direct the team through complexity, demonstrating composure through ambiguous, challenging and uncertain situations. Deepen and evolve your expertise with a focus on staying relevant. Initiate open and honest coaching conversations at all levels. Make difficult decisions and take action to resolve issues hindering team effectiveness. Model 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 Data and Analytics Engineering team you will lead the development of innovative AI solutions that drive operational excellence. As a Senior Manager you will serve as a strategic advisor, leveraging your knowledge to guide large projects and motivate top-performing teams to navigate complex challenges. This role offers the chance to work with advanced technologies and collaborate with diverse stakeholders, securing impactful results that align with industryleading standards. Responsibilities - Lead the creation of innovative AI solutions to enhance operational effectiveness - Serve as a strategic advisor on large-scale projects, guiding teams through challenges - Motivate and develop top-performing teams to achieve project objectives - Work with diverse stakeholders to secure alignment with industry standards - Utilize advanced technologies to drive impactful results - Foster a culture of continuous improvement and operational excellence - Analyze complex data to identify opportunities for innovation - Communicate effectively to convey project goals and progress What You Must Have - High School Diploma - At least 6 years of experience What Sets You Apart - Master's Degree in Computer Engineering, Computer Science, Data Processing/Analytics/ Science, Software Engineering, Artificial Intelligence and Robotics preferred - Crafting and conveying clear, impactful messages - Applying systems thinking to identify underlying problems - Validating outcomes with clients and sharing perspectives - Directing teams through complex and ambiguous situations - Evolving your technical and industry knowledge - Initiating open coaching conversations at various levels - Adhering to production-grade quality standards - Experience creating context aware GenAI Chat experience using SSE, JSON-RPC and WebSocket The salary range for this position is: $91,000 - $321,500. 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

Role Description We’re looking for a Lead, AI Engineering & SDLC Automation (Director) to define and lead PSD’s AI-enabled engineering automation strategy, roadmap, and delivery function. This role will lead a team responsible for delivering AI-assisted engineering capabilities, agentic workflow automation, and SDLC automation that meaningfully improve developer productivity and software delivery across the Productivity Solutions Division. You will own the selection, integration, governance, and adoption of AI-enabled engineering tools and automation within developer workflows, partnering across DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to scale safe, reliable, and measurable AI-enabled software delivery practices. Your leadership will help PSD accelerate software delivery by embedding AI-powered automation into the core of engineering workflows. You will improve developer productivity, reduce manual toil, increase consistency across the SDLC, and help teams adopt AI-enabled practices safely, reliably, and at scale. What You’ll Do - Lead and develop the AI Engineering & Automation team responsible for AI-assisted SDLC automation, developer workflow integration, and engineering productivity tooling. - Define team priorities, resource needs, operating cadence, performance expectations, and execution plans. - Own the roadmap for AI-enabled engineering automation across PSD, from tool selection and integration to adoption, measurement, and continuous improvement. - Deliver AI-assisted engineering tools, agentic workflows, copilots, and workflow automation with measurable productivity uplift. - Integrate AI automation into CI/CD pipelines, developer paved roads, engineering workflows, and platform services. - Establish governance, safety guardrails, evaluation criteria, usage standards, and secure integration patterns for responsible AI adoption in engineering workflows. - Partner with DevSecOps, Developer Experience, Security, QE, IT, and engineering teams to embed automation into software delivery practices. - Prioritize AI automation investments based on productivity uplift, developer experience, quality, reliability, security, cost, and platform strategy. - Drive cross-organization adoption through enablement, documentation, training, feedback loops, and measurable adoption plans. - Resolve conflicting priorities across engineering productivity, security, reliability, cost, and responsible AI adoption. - Define and track success measures for AI-enabled engineering automation, including productivity, adoption, toil reduction, quality, reliability, and developer experience. Qualifications - Typically 5+ years of experience formally or informally leading people, projects, and/or programs. - Bachelor’s or Master’s degree or equivalent experience. - Strong background in AI-enabled engineering, platform engineering, DevOps, developer productivity, workflow automation, or SDLC automation. - Experience leading teams, programs, or cross-functional initiatives in complex software engineering environments. - Experience translating organizational strategy into roadmaps, execution plans, governance models, and measurable outcomes. - Experience with AI agents, copilots, AI-assisted software engineering tools, ML-driven automation, or agentic workflow automation. - Strong understanding of CI/CD, SDLC tooling, developer workflows, engineering productivity tooling, and secure integration patterns. - Understanding of responsible AI adoption, AI governance, usage controls, safety guardrails, and secure deployment patterns. - Ability to influence senior stakeholders across engineering, product, security, QE, IT, and platform organizations. - Experience driving adoption, enablement, and behavior change across distributed engineering teams. - Ability to balance speed, productivity, quality, reliability, security, cost, and responsible AI use. - Strong analytical and communication skills, with the ability to translate productivity and adoption insights into practical roadmap decisions. Additional Details - This job has a full time weekly schedule. - It includes the option to work remotely. - Applications for this job will be accepted until at least July 1, 2026 or until the job is no longer posted. - The full-time equivalent pay range for this position is $168,160.00 - $315,300.00/yr plus eligibility for bonus, stock and benefits.

Role Description We're looking for a Senior AI Engineer to join a new AI Engineering team building foundational AI capabilities for mental healthcare at Talkiatry. You'll work across the AI lifecycle — from prototyping to production rollout, observability, and continuous improvement — building backend APIs, frontend interfaces, orchestration services, and internal tools that make AI useful, trustworthy, and actionable. You'll collaborate with senior engineers, product, clinical stakeholders, and data teams where your work directly impacts how AI is safely deployed in healthcare. This role is ideal for engineers with early LLM/agentic AI experience who want to deepen their skills on real production systems and grow into ownership of AI capabilities over time. - Full-Stack AI Development: Build frontend interfaces, backend services, APIs, integrations, and data flows that make AI capabilities usable in patient, clinician, and internal workflows. - Agentic AI Systems: Build and iterate on agentic systems that use reasoning, tool use, retrieval, memory, and multi-step workflows to solve healthcare problems. - RAG & Knowledge Systems: Build and maintain RAG pipelines, ingestion workflows, retrieval tuning, semantic search, and knowledge quality improvements. - Evaluation & Quality: Implement evaluation frameworks, automated tests, experiments, regression checks, and quality metrics to improve AI system performance over time. - Safety, Guardrails & Observability: Implement guardrails, fallback flows, human-in-the-loop workflows, access controls, tracing, monitoring, and diagnostics for production AI systems. - Production Delivery: Contribute to reliable production rollouts, CI/CD workflows, debugging, incident response, performance improvements, and operational efficiency. - Cross-Functional Collaboration: Work with senior engineers, product, clinical, design, and data partners to translate real workflows into safe, reliable AI-powered experiences. Qualifications - 2+ years of software engineering experience, including building, testing, and maintaining production software systems. - 1+ year of experience building with LLMs, agentic AI, or production AI systems, ideally beyond simple chatbot or prompt-only use cases. - Strong programming skills in Python and/or TypeScript, with experience building backend services, APIs, integrations, data flows, or full-stack product features. - Experience with modern frontend or full-stack development using technologies such as React, Next.js, TypeScript, Node.js, or similar frameworks. - Experience contributing to AI systems involving retrieval, tool use, workflow orchestration, structured outputs, context management, or multi-step execution. - Familiarity with agentic frameworks and orchestration tools such as LangGraph, CrewAI, OpenAI Agents SDK, or similar frameworks. - Familiarity with RAG systems, vector databases, semantic search, retrieval infrastructure, model serving, or knowledge pipelines. - Familiarity with cloud-native development, containerized services, Kubernetes, CI/CD workflows, or scalable production environments. - Strong debugging, communication, and collaboration skills, with the ability to work through ambiguity and make steady progress with guidance from senior engineers. Requirements - Nice to have: Experience building AI systems in healthcare, clinical, safety-critical, or other regulated environments. - Familiarity with HIPAA, clinical AI safety, FDA AI/ML guidance, or compliance-aware software development. - Experience using tests, evaluation methods, quality metrics, experiments, observability, or release checks to improve system reliability and performance. Benefits - Top-notch team: we're a diverse, experienced group motivated to make a difference in mental health care. - Collaborative environment: be part of building something from the ground up at a fast-paced startup. - Excellent benefits: medical, dental, vision, effective day 1 of employment, 401K with match, generous PTO plus paid holidays, paid parental leave, and more! - Grow your career with us: hone your skills and build new ones with our Learning team as Talkiatry expands. - It all comes back to care: we’re a mental health company, and we put our team’s well-being first.

Role Description The AI Engineer plays a critical role in accelerating Voya’s AI transformation—building scalable, production-grade AI solutions that enhance customer experience, improve operational efficiency, and unlock new business value. This role connects data, engineering, and business outcomes—bringing AI from concept to impact. Primary Purpose: - Design, build, and deploy AI/ML and generative AI solutions that power digital experiences, automate workflows, and enable smarter decision-making across Voya’s retirement, wealth, and employee benefits businesses. What You’ll Do: - Build & Deploy AI Solutions: - Design, develop, and deploy machine learning and generative AI models (LLMs, NLP, predictive models) into production environments. - Build scalable APIs, pipelines, and microservices to support AI-powered applications. - Implement retrieval-augmented generation (RAG), agent-based systems, and model orchestration frameworks. - Partner Across the Enterprise: - Collaborate with Product, Data, and Business teams to identify high-impact AI use cases. - Translate business needs into technical solutions with measurable outcomes. - Partner with Risk, Compliance, and Legal to ensure responsible AI practices and regulatory alignment. - Drive Engineering Excellence: - Establish best practices for model development, testing, monitoring, and performance optimization. - Ensure high standards for code quality, scalability, security, and reliability. - Contribute to modern engineering practices (DevOps, MLOps, CI/CD pipelines). - Advance AI Capability: - Stay current with emerging AI/ML technologies and apply them pragmatically. - Evaluate and implement new tools, frameworks, and platforms (LLMs, vector DBs, orchestration tools). - Contribute to Voya’s AI strategy and long-term technology roadmap. Qualifications - 5–10+ years in software engineering, data engineering, or AI/ML development. - Hands-on experience building and deploying AI/ML models in production environments. - Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, etc.). - Experience with LLMs, prompt engineering, and/or RAG architectures preferred. - Familiarity with cloud platforms (AWS, Azure, GCP) and modern data ecosystems. - Experience operating in regulated or data-sensitive environments (financial services preferred). Requirements - Ability to balance experimentation with disciplined execution in production environments. - Strong problem-solving mindset with a focus on measurable business outcomes. - Comfort working across technical and non-technical stakeholders. - Bias for action with a builder mindset—delivering, not just designing. Benefits - Health, dental, vision and life insurance plans. - 401(k) Savings plan – with generous company matching contributions (up to 6%). - Voya Retirement Plan – employer paid cash balance retirement plan (4%). - Tuition reimbursement up to $5,250/year. - Paid time off – including 20 days paid time off, nine paid company holidays and a flexible Diversity Celebration Day. - Paid volunteer time — 40 hours per calendar year.