Remote:::Azure Technical/Solution Architect

Azure Technical/Solution Architect

Remote

Contract Length

6 months

 

 

Job Descriptio

 

Key responsibilities are:

 

- Providing Technical leadership & subject matter expertise to client engagements focusing on complex & innovative products and reusable assets within the context of Azure/Azure Gov Platform services.

- Experience designing, implementing, and operating AI-enabled bots, agents, and intelligent automation solutions that support business processes, service delivery, knowledge retrieval, user assistance, and repeatable operational workflows.

- Lead end-to-end solution architecture and design for cloud-based (Azure/Azure Gov) initiatives, ensuring scalability, reliability, and alignment to business strategy and standards.

- Provide technical leadership and subject matter expertise across multiple projects, guiding architecture decisions and driving consensus among cross-functional stakeholders.

- Develop high-level solution overviews and detailed infrastructure designs that balance cost, risk, and quality to support business investment decisions.

- Collaborate with engineering teams, product managers, and vendors to translate business requirements into secure, scalable technical solutions and reusable assets.

- Ensure adherence to architecture standards, security policies, and best practices, while monitoring solution quality and supporting issue resolution across the delivery lifecycle.

 

Although this position is remote, the first week of employment will be onsite (M-F) for team collaboration efforts. Preferred candidate locations are: New York, Philadelphia, and Alpharetta GA.

Required Skills

 

- Active Secret clearance preferred, not mandatory. Must be able to obtain a Secret Security clearance.

- Advanced understanding of Azure/Azure Gov (Gateways, Firewalls, Containers, ADO, etc.) architecture.

- Experience in architecting and designing technical solutions for Microsoft-centric solutions based on industry standards using (Azure) IaaS, PaaS, and SaaS capabilities.

- Experience with any claims-based authentication (SAML/OAuth/OIDC), MFA, JIT, and/or RBAC / Ping etc.

- Experience with configuration management and automation tools such as Azure DevOps, Ansible, Puppet, Octopus, Chef, Salt, etc.

- Experience with multi-geography, multi-tier service design and management

- Experience in data movement and transformation technologies

- Knowledge of cloud security controls including tenant isolation, encryption at rest, encryption in transit, key management, vulnerability assessments, application firewalls, SIEM, etc.

- Ability to adopt and relate new technologies to the set of problems we face at EY while adhering to security and other EY standards

- Deep understanding of Application, Infrastructure and security architecture and non-functional aspects like Performance, Scalability, Reliability, Availability, all the so-called -capabilities- of a system

- Good understanding of latest cloud computing and data technologies, business drivers, emerging computing trends, and deployment options

- Highly skilled in defining, designing, and developing distributed and scalable products and services, including reusable domain-specific microservices on multi-platform /hybrid clouds (such as Microsoft Azure, AWS, Google Cloud Rackspace, VMware, or OpenStack)

 

o Experience using AI assistants, copilots, bots, and automation tools during day-to-day work activities to improve architecture analysis, engineering support, documentation, research, workflow execution, and stakeholder communications.

o Experience architecting and implementing AI-based products and services in Azure Gov environments, including Azure AI services, Azure OpenAI Service where available and approved, retrieval-augmented generation patterns, secure API integration, and governed data access.

o Ability to design secure, compliant, and auditable AI solutions aligned with government cloud requirements, identity and access controls, RBAC, data protection, logging, monitoring, risk management, responsible AI practices, and lifecycle governance.

o Familiarity with integrating AI capabilities into cloud-native applications and DevSecOps delivery models, including CI/CD pipelines, infrastructure-as-code, application observability, operational support, and continuous improvement practices.