Lead AI transformation initiatives for enterprise customers by driving infrastructure modernization, AI agent adoption, and data platform transformation to maximize business value within the Construction & Real Estate sector.
Responsibilities
Identify potential business challenges in Construction & Real Estate and create/convert opportunities using Azure solutions.
Develop compelling value propositions for business and technical decision-makers.
Collaborate with account teams and partners to execute closing strategies.
Analyze account plans and consumption patterns to refine data-driven sales strategies.
Develop and execute territory strategies using MCEM.
Lead enterprise cloud architecture strategy and development, ensuring secure, scalable, and mission‑aligned cloud solutions across the full system lifecycle.
Responsibilities
Define and govern cloud architectural requirements, standards, patterns, and reference architectures
Advise system owners, engineering teams, and leadership on cloud architecture risks, technical impacts, cost and performance trade‑offs, dependencies, and compliance with applicable DoD, security, and cloud‑framework standards
Assess new cloud services, architectural changes, and infrastructure modernization efforts; recommend and validate optimal cloud architecture solutions
Review, approve, and oversee architectural documentation including cloud architecture diagrams, enterprise reference models, service patterns, modernization roadmaps, and deployment architectures
Lead and validate architectural reviews, design assessments, and cloud solution evaluations to ensure environments, interfaces, and services meet mission, security, and performance requirements
Lead AI/ML adoption for the team — designing, developing, testing, deploying, and maintaining AI-powered solutions that combine Generative AI and traditional ML techniques
Provide technical leadership for AI initiatives (e.g., conversational AI/chatbots, predictive analytics, intelligent automation), partnering with product management, architecture, and engineering leadership to solve healthcare-specific challenges
Build responsible AI solutions and services for the Provider community, ensuring compliance with ethical and regulatory standards, and lead AI governance, model lifecycle management, and production support
Lead large-scale cloud migration and modernization engagements for enterprise customers in Japan, managing project planning, delivery, and stakeholder communication.
Responsibilities
Lead AWS consultants, partners, and customer teams through end-to-end cloud migration and modernization engagements
Develop and manage overall project plans, including scope, schedule, resources, and risk
Assess, design, and execute migration of on-premises workloads to AWS
Apply scalable modernization techniques and automation tools, including AI technologies
Visualize and report project progress, issues, and risks to executive stakeholders
Requirements
Nice to have: AWS certification
Nice to have: AI-driven migration experience
Nice to have: large-scale system modernization
Nice to have: financial institution experience
Nice to have: professional-level AWS certification
Lead and manage Oracle E‑Business Suite R12 Supply Chain and Manufacturing applications, providing architecture, governance, and strategic direction for enterprise ERP solutions.
Responsibilities
Design and lead future‑state ERP solutions for manufacturing, inventory, warehouse management, planning, and trade compliance
Evaluate business requirements and translate them into scalable Oracle EBS and integrated system solutions
Provide architectural leadership for integrations between Oracle EBS, MES, Oracle Fusion applications, reporting platforms, planning systems, and sister companies
Define end‑to‑end process designs that balance business requirements, standard functionality, maintainability, and technical debt reduction
Lead requirements gathering, design reviews, priority discussions, and solution governance activities
Lead the architectural design and modernization of an enterprise‑scale remote instrument monitoring platform in the life sciences and clinical diagnostics domain.
Responsibilities
Define end‑to‑end target architecture across Application, Transport, and Processing layers
Establish architectural direction, technical standards, integration contracts, security frameworks, and AI governance
Lead and guide distributed engineering teams across the US, India, and Israel
Architect secure data handling practices addressing privacy, data residency, confidentiality, and access controls
Define end‑to‑end security architecture covering device identity, hardware‑backed keys, token management, encryption, signed software delivery, and least‑privilege access
Evaluate and leverage emerging cloud AI/ML offerings to deliver efficient, cost-effective solutions, including integrating AI into broader cloud modernization and digital-first initiatives
Drive alignment between AI initiatives and enterprise strategy, independently prioritizing and planning work against business objectives
Cloud Architect SME (SW)Modern Technology Solutions Inc · US
Lead AI Software Engineer - RemoteUnitedHealth Group · Remote, US+2 more
Engagement ManagerAmazon · Tokyo, Japan
Partner Director, GTM Cloud PartnershipsOpenAI · San Francisco, US+2 more
Solution ArchitectCentillion Infotech LLC · Remote
Engagement Manager, Technology, HealthScape Payer TransformationChartis · Remote
Manager, Business Development - Major ClientsAvanade · Tokyo, Japan