The Analytics Data Engineer will partner with business teams to consolidate and model data into sustainable fact tables for supply chain and distribution operations. They are responsible for managing Microsoft Fabric infrastructure and ensuring reporting consistency across the enterprise.
The role involves consolidating financial data into structured fact tables to support accounting and financial reporting functions. The engineer will manage Microsoft Fabric infrastructure and translate complex business requirements into scalable technical solutions.
You will design and deliver robust big data pipelines using Azure Synapse Analytics to support healthcare industry initiatives. You will also collaborate with cross-functional teams to optimize cloud migration strategies and manage large-scale data processing solutions.
Lead the delivery of advanced solutions in platform engineering, application development, and data engineering for enterprise clients. Manage complex workload migrations from on-premise VMware environments to AWS cloud infrastructure.
The Solution Architect will lead the delivery of advanced cloud solutions, focusing on workload migration from on-premise VMware environments to AWS. They will be responsible for architecting, deploying, and maintaining scalable infrastructure while automating migration processes.
Define and execute the product vision and roadmap for next-generation AI/ML initiatives, specifically focusing on agentic architectures. Collaborate with cross-functional teams to translate complex AI research into scalable, production-grade enterprise solutions.
You will lead the delivery of advanced cloud migration solutions, managing workload transitions from on-premise data centers to AWS. This role involves performing dependency analysis, wave planning, and stakeholder engagement to ensure successful cloud transformation.
Lead the delivery management of multi-functional medium to large-scale AWS programs while ensuring financial benefits and transformational outcomes. Manage and mentor a team of business analysts and engineers to drive business efficiency and customer experience.
The Ecosystem Sales Lead will build and scale co-sell motions with key AI partners like OpenAI, Anthropic, and LangChain to drive business growth. They will hunt for joint opportunities, mobilize internal teams for deal closure, and maintain disciplined pipeline management.
The Associate Technical Architect will design and maintain scalable cloud data pipelines and datalakes while managing technical product workflows. They will also lead legacy data migrations and ensure data integrity for mission-critical financial analytics.
Design, build, and maintain production-grade knowledge graph solutions using both Labeled Property Graphs and RDF technologies. Develop scalable data pipelines to transform healthcare and clinical data while ensuring semantic consistency and data quality.
Design and develop advanced machine learning models and algorithms to solve complex business problems. Optimize and deploy these models on AWS infrastructure while ensuring scalability and reliability.
Lead the delivery management of multi-functional medium to large-scale AWS programs, ensuring financial benefits and transformational outcomes. Manage and mentor a team of business analysts and engineers while driving continuous improvement in processes and service delivery.
Architect and implement scalable MLOps and LLMOps platforms and pipelines, covering training, validation, deployment, versioning, monitoring, governance, and automation. Establish reusable architecture standards, ensure security and observability, collaborate across engineering and client teams, troubleshoot complex systems, and mentor engineers.
Design and implement enterprise-grade Generative AI solutions using AWS Bedrock and agentic workflows. Collaborate with cross-functional teams to build scalable RAG pipelines and optimize LLM performance for production environments.
Design, build, and productionize knowledge graph solutions using a hybrid approach of Labeled Property Graphs and RDF for healthcare data. Develop scalable pipelines for data transformation, entity linking, and graph validation while collaborating with cross-functional domain teams.
Design, build, and optimize Snowflake-based data platforms and cloud-native pipelines for asset-backed finance investment and portfolio analytics, using Dagster and AWS services. Support legacy-system migration, data reconciliation and validation, and project coordination through planning, testing, and go-live readiness.
Design, build, and maintain Snowflake data pipelines and lake architectures for asset-based finance investment and portfolio analytics, including scalable ETL/ELT workflows and data quality checks. Support legacy platform migration and project delivery by translating financial logic into data architecture, coordinating requirements and timelines, and assisting with testing, cutover, and go-live readiness.
Design, build, and scale robust platform services, APIs, and microservices while driving architectural decisions for healthcare platforms. Collaborate with product and clinical teams to ensure system reliability, performance, and quality through modern engineering practices.
Develop and integrate GenAI and LLM-based solutions into large-scale cloud-based SaaS production environments for healthcare. Lead technical architecture design, mentor senior team members, and collaborate across functions to deliver high-impact business outcomes.
Design and optimize scalable infrastructure for GenAI and LLM workloads across multi-GPU environments. Collaborate with cross-functional teams to manage compute-intensive jobs and deploy production-grade AI solutions.
Lead the architectural vision for a next-generation data layer specifically designed for Agentic AI workflows. Act as the primary technical liaison for customers while overseeing the health, security, and performance of complex hybrid-database environments.
The Architect Machine Learning Engineer will design and deploy production-grade agentic AI systems and multi-agent workflows from the ground up. They are responsible for implementing scalable orchestration layers, managing state, and ensuring robust deployment on major cloud platforms.
Design and optimize scalable infrastructure for GenAI and LLM workloads across multi-GPU environments. Manage compute-intensive jobs using Slurm and Kubernetes while building production-grade GenAI pipelines.
Drive the technical strategy and execution of the AWS AI/ML business, including leading pre-sales discussions and creating technical proposals. The role involves collaborating with AWS leadership to develop packaged offerings and delivering complex AI/ML customer engagements.
Lead strategic cloud migration roadmaps and conduct technical assessments of on-premise VMware infrastructure. Design robust cloud network security frameworks and oversee the execution of migrating complex workloads to public cloud platforms.
Develop and execute comprehensive organizational change management strategies and communication plans for large-scale cloud migrations. Lead stakeholder engagement, training enablement, and readiness assessments to ensure successful technology adoption.
Drive revenue growth and customer acquisition within the AWS Public Sector segments, including Higher Education and Government. Lead sales strategies, manage complex sales cycles, and build executive relationships within the AWS ecosystem.
Architect and implement enterprise-grade MLOps and LLMOps strategies and pipelines using GCP-native services. Serve as a technical authority to design scalable ML platforms and mentor engineers on best practices.
