As a Manager in EY GDS Tech Ops practice, you will be responsible for hands-on technical leadership, stakeholder collaboration, and delivery ownership, designing, and operationalizing intelligent AI agents and autonomous workflows that leverage LLMs, AI services, and enterprise integrations.
Responsibilities
Lead and manage a team of AI Engineers, Developers, and Solution Architects, providing technical guidance, coaching, mentoring, and career development support.
Own end-to-end delivery of AI and automation engagements, ensuring quality, timelines, budget adherence, and stakeholder satisfaction.
Design, develop, and deploy Agentic AI solutions leveraging Large Language Models (LLMs), multi-agent architectures, retrieval systems, and AI orchestration frameworks to automate complex business and engineering workflows.
Architect and implement AI-powered autonomous workflows and intelligent agents capable of reasoning, planning, decision-making, and executing tasks across enterprise systems.
Integrate LLMs, NLP, Computer Vision, and other AI/ML services into enterprise applications and platforms through APIs, SDKs, and cloud-native architectures.
Requirements
Bachelor’s or master’s degree in computer science, Engineering, or related field
Seeking a highly skilled and experienced Senior Data Scientist with a minimum of 8 - 11 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture.
Responsibilities
Contribute to the design and implementation of state-of-the-art AI solutions.
Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
Collaborate with stakeholders to identify business opportunities and define AI project goals.
Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Master's degree in Computer Science, Engineering, or a related field
Lead enterprise AI product strategy in partnership with business and technology teams across the Group, shaping and scaling AI capabilities to transform how CommBank works.
Responsibilities
Own the product vision, strategy and roadmap, translating AI ambitions, business priorities and employee needs into a clear product direction, prioritised backlog and measurable objectives.
Shape and steward the enterprise AI tooling portfolio, considering business need, technical fit, security, user experience and commercial value.
Build strong partnerships with Business Unit technology teams, AI adoption leads and enterprise partners to align needs, roadmaps and responsibilities.
Lead discovery, experimentation and pilots to identify opportunities where AI can make a meaningful difference.
Turn proven use cases into repeatable capabilities and implementation approaches that support reuse and reduce duplication.
Business Partner estratégico da área de Vacinas, transformando prioridades de negócio e necessidades da população em estratégias, experiências e soluções que ampliem o acesso à informação e às oportunidades de vacinação.
Responsibilities
Atuar como parceiro estratégico da liderança e dos times de Vacinas
Traduzir objetivos de negócio em estratégias de Consumer/Patient Experience
Construir recomendações que equilibrem relevância para a população, impacto para o negócio, viabilidade operacional, escalabilidade, investimento e sustentabilidade financeira
Conectar aprendizados de mercado, tendências de comportamento e evolução do ecossistema de vacinação às decisões estratégicas da franquia
Mapear e evoluir jornadas de vacinação
Requirements
Graduação completa em Administração, Marketing, Comunicação, Engenharia, Economia, Saúde ou áreas relacionadas
Design, develop, test, implement, and maintain web, desktop, mobile, and enterprise applications, with a focus on integrating AI and automation solutions like LLMs and RAG.
Responsibilities
Design, develop, test, implement, and maintain web, desktop, mobile, and enterprise applications
Translate business and functional requirements into appropriate technical solutions
Write clean, efficient, secure, scalable, and well-documented code
Participate in and lead activities throughout the Software Development Lifecycle (SDLC)
Design, develop, integrate, and maintain AI-enabled applications using Large Language Models, AI APIs
Requirements
Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or a related field
Nice to have: Building production-ready Generative AI or LLM-enabled applications
Forward Deployed Engineer Senior Manager, leading lean, client-embedded engineering teams to diagnose opportunities, shape, engineer, operationalize, prove value from, and scale client AI strategy.
The Lead Technology Leadership Professional provides strategic leadership and deep technical expertise to drive application reliability, observability, and operational excellence across enterprise-scale platforms.
Compensation
$117,600 - $161,700 per year
Responsibilities
Provide strategic and technical leadership for enterprise applications and technology operations, ensuring reliability, scalability, and operational excellence.
Lead product validation, qualification, and production readiness activities to ensure compliance, quality, and operational requirements are met before release.
Partner with engineering, infrastructure, cloud, security, manufacturing, quality, and business stakeholders to deliver technology solutions aligned with organizational objectives.
Serve as a senior technical advisor, driving resolution of complex production, application, and operational challenges.
Establish and promote best practices for Application Reliability & Operations Engineering, including observability, incident management, problem management, resiliency, and continuous improvement.
Requirements
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field
Master's degree in Computer Science, Engineering, Artificial Intelligence, Information Technology, or related discipline
Nice to have: SRE
Nice to have: Platform Engineering
Senior Legal AI & Analytics Specialist, Legal Operations
Lead the design, implementation, and governance of AI and legal‑technology solutions within Illumina’s Legal Operations team, translating AI priorities into secure, governed, and well‑adopted platforms and providing analytics to drive decision‑making.
Compensation
The estimated base salary range for the Senior Legal AI & Analytics Specialist, Legal Operations role based in the United States of America is: $98,400 - $147,600. Additionally, all employees are eligible for one of our variable cash programs (bonus or commission) and eligible roles may receive equity as part of the compensation package.
Responsibilities
Run the Legal AI and legal‑technology roadmap
Coordinate evaluation, selection and onboarding of AI and legal‑tech solutions
Configure, administer and support Legal’s AI and legal‑tech platforms
Build, test, document and maintain AI agents, assistants, prompt libraries and automated workflows
Implement human‑review controls, logging, data‑classification and retention requirements
Requirements
Bachelor’s degree in Information Systems, Computer Science, Business Analytics, Finance, Legal Studies or a related field
New York City, Boston, and Washington DC Metro Areas, Washington State, and Southern California offices – $172,800 to $359,000
Bay Area California offices – $180,000 to $374,000
All other offices locations in the US, including Sacramento – $144,000 to $329,100
Responsibilities
Translating AI strategy, client process challenges, and value hypotheses into a prioritized, scalable Model Engineering roadmap
Leading teams of forward-deployed AI engineers and data scientists in the end-to-end delivery of production-grade machine learning, generative AI, and agentic AI solutions
Staying abreast of AI technology trends and providing directional guidance and recommendations around AI-native development tools such as Claude, Codex, Cursor, and GitHub, as well as MLOps, LLMOps, and AgentOps tools and solutions
Applying combined business, product, commercial, and technical knowledge to develop and execute ModelOps and agentic control-plane target architectures
Collaborating with Data Scientists, Data Engineers, Cloud Engineers, MLOps, LLMOps, and platform engineers, DevOps to implement and sustain solutions in the client’s platform of choice
Requirements
Bachelor’s degree in Business or Economics, Technology Entrepreneurship, Computer Science, Informatics, Statistics, Applied Mathematics, Data Science, or Machine Learning
MS degree in Computer Science, Mathematics, Physical Sciences, or other quantitative field
Software DeveloperNewDermorepubliq Corporation · Quezon City, Philippines
Senior Legal AI & Analytics Specialist, Legal OperationsNewIllumina · San Diego, US