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The Enterprise Architect will collaborate with executive leaders to develop digital, data, and AI transformation strategies and roadmaps for global organizations. This role involves designing scalable, cloud-native architectures using Adobe Experience Cloud and modern cloud ecosystems to drive business outcomes.
The Lead Software Engineer will design and implement cloud-based applications while integrating AI/ML models and Generative AI technologies. The role involves leading engineering communities, optimizing system performance, and utilizing Java, Python, or Node.js within AWS environments.
Build and operate enterprise-scale infrastructure platforms for JPMorgan Chase in Dublin, leveraging AI-native practices to design, code, and scale systems while ensuring reliability, security, and cost efficiency.
The Engineering Manager will lead a team of Machine Learning Engineers to design and deploy production-ready LLM applications and agentic AI systems for healthcare clinical workflows. The role focuses on building scalable AI infrastructure, MLOps workflows, and collaborating across teams to translate research into clinical products.
Staff AI Engineer at Sainsbury's designs and standardizes AI engineering practices across teams, building reusable patterns and guiding high-impact AI projects using Python, Azure, and generative AI frameworks.
Java Full Stack Engineer at PwC's Data & Analytics Advisory practice in Bengaluru, building and modernizing enterprise microservices with Spring Boot backends, React/Angular frontends, Kafka event-driven systems, and Azure deployment.
Lead the development and operation of scalable Python services for GenAI, LLM, and agentic systems at Vonovia SE, using FastAPI, LangChain/pydanticAI, and MLOps practices in production.
Builds scalable GenAI/LLM systems for Vonovia’s housing operations, designing end-to-end architectures (data prep, model integration, MLOps) and agentic workflows with Python/FastAPI.
The Customer Project Manager leads complex, multi-disciplinary IT infrastructure projects from order to cash using Waterfall and Agile methodologies. The role involves leveraging AI-integrated tools and data-driven insights to manage project lifecycles, optimize delivery, and act as a strategic advisor to customers and internal engineering teams.
AI Product Manager driving end-to-end lifecycle of custom AI solutions (Generative AI, RAG, multi-agent frameworks) across Nine's media portfolio, partnering with data scientists and engineers on GCP.
The Data Governance Analyst supports the implementation of data governance and quality management programs across the APAC region. The role involves monitoring data quality, coordinating with stakeholders, and utilizing tools like Alteryx, Python, or R to perform data analysis and reporting.
The Senior Operations AI Engineer will design and deploy autonomous AI systems and agentic workflows to optimize supply chain and logistics operations. The role involves hands-on development using Python, ML frameworks, and GenAI tools while providing technical leadership to the team.
Senior Software Engineer II at LexisNexis Risk Solutions in Mumbai, building and maintaining software for AML, fraud, and identity verification products using Python, LLM/RAG pipelines, SQL Server, and AWS.
Designs and deploys agentic AI systems for medical imaging, combining LLMs, RAG, knowledge graphs, and tool orchestration to solve complex healthcare workflows.
The Applied AI Engineer will design, build, and productionise AI-powered features within a C# .NET platform. The role focuses on integrating LLMs, RAG pipelines, and vector search into scalable, customer-facing software.
The Senior Data Analyst will support Supply Chain Finance by building interactive dashboards, modeling complex datasets, and developing automated reporting solutions using the Microsoft Power Stack and SQL. The role involves acting as a business partner to finance stakeholders, optimizing data architecture, and leveraging AI-assisted tools to improve analytical workflows.
This role leads a team of technical specialists and deployment strategists to build and deploy Agentforce AI solutions for enterprise customers. The position requires hands-on leadership in AI architecture, team management, and direct customer engagement to drive production-ready AI implementations.
The Staff ML Engineer will architect and scale the Gaia Emblem engine, focusing on LLM integration, RAG pipelines, and GPU-aware infrastructure. This role involves leading technical strategy, mentoring engineers, and building high-throughput distributed systems for AI-powered data security.
The Senior Software Engineer II will design and develop software solutions for risk assessment products, focusing on RAG pipelines, LLM integration, and cloud-native development. The role involves mentoring team members and collaborating across functions to deliver secure, high-impact applications.
The Staff Software Engineer will design and build autonomous AI agents using frameworks like LangChain and AutoGen to transform enterprise workflows. The role involves integrating these agents with cloud systems and optimizing them for performance and scalability using Go, Rust, or Python.
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