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 optimize scalable real-time and batch data pipelines using Python, Spark, and Databricks. Collaborate with stakeholders to translate business requirements into technical architectures and manage cloud infrastructure migrations.
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 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 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 and scale infrastructure for GenAI and LLM workloads while performing GPU profiling and performance optimization. Collaborate with cross-functional teams to deploy production-grade AI models and manage compute-intensive clusters.
Design and develop scalable Java-based backend services and APIs within the Guidewire ClaimCenter ecosystem. Lead Gosu-to-Java code transformation initiatives using AI-augmented productivity tools to modernize insurance platforms.
The Cloud Migration Architect will lead the delivery of advanced solutions in application development, platform engineering, and data engineering. They are responsible for managing workload migrations from on-premise data centers to AWS while ensuring security and compliance.
You will lead strategic sales initiatives for CCaaS and CX transformation programs by leveraging advanced AI and cloud technologies. The role involves managing end-to-end sales cycles, defining customer transformation roadmaps, and collaborating with technical teams to deliver AI-driven business outcomes.
The Associate Architect will design, build, and optimize scalable web applications using a Java-based microservices architecture. They will lead the full software development lifecycle, collaborating with stakeholders to deliver high-performing, maintainable code.
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.
You will act as a technical advisor to design end-to-end AI solutions and shape long-term technology roadmaps for strategic clients. Additionally, you will own the technical sales cycle, from discovery and pitching to securing high-value enterprise deals.
Lead the origination and closure of large-scale enterprise AI transformation engagements within the power, utilities, and energy sectors. Serve as a strategic advisor to C-suite executives while managing P&L and driving portfolio growth through local market dominance.
Design and implement scalable infrastructure for GenAI and LLM workloads across multi-GPU environments. Collaborate with cross-functional teams to optimize performance and support production-grade AI deployments.
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.
Drive strategic growth, revenue, and profitability for a portfolio of major P&C Insurance enterprise accounts. Build executive-level relationships to implement AI, data, and cloud transformation solutions that improve business outcomes.
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.
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.
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.
Architect and build full-stack, enterprise-grade platforms using modular agentic workflow patterns. Design and implement intelligent workflows while ensuring system security, scalability, and seamless enterprise integration.
