• Design and maintain the core APIs, SDKs, libraries, and services that standardize how teams at Invoca build AI and agentic capabilities. • Build the platform components that product teams can assemble into real applications, such as orchestration building blocks, tool interfaces, workflow contracts, context-handling systems, and retrieval primitives. • Build the shared evaluation framework that enables teams to test AI systems consistently and at scale, including CI/CD integration, dataset and experiment workflows, scoring pipelines, and support for offline and online evaluation. • Help define the contracts, schemas, and interfaces that allow tools, runtimes, and services to work together cleanly including platform patterns for MCP-style interoperability, tool discovery, and agent-to-agent or agent-to-system interactions. • Design and improve the serving, routing, and control layers ensuring low latency, high availability, cost efficiency, and strong production behavior. • Build and enforce platform capabilities that make AI systems measurable, debuggable, and governable, including tracing, auditing, and policy enforcement. • Create tools, templates, documentation, and reference implementations that make the platform easy to adopt and hard to misuse. • Influence architecture, standards, and long-term technical strategy for AI Platform by identifying patterns across teams and converting them into reusable platform solutions.

Role Description The AI Enhanced Azure Platform Practice Architect I is a mid-level technical role within the Azure Platform and AI practice at TEKsystems Global Services. This individual contributor role is focused on supporting the design, implementation, and delivery of Azure cloud, DevOps, and AI-enhanced solutions under the guidance of senior architects and practice leads. The PA I will work alongside senior team members to deliver client engagements, develop their technical skillset across Azure platform and AI tooling, and progressively take on greater ownership of workstreams. The position is expected to spend approximately 85% of time on delivery support and 15% on internal practice and pre-sales support activities. Qualifications - Bachelor’s degree in Computer Science, Management Information Systems, Engineering, or a related field — or commensurate real-world experience - 3–5 years’ experience working in cloud infrastructure, DevOps, or Azure-related roles - Exposure to or foundational experience with Azure AI/ML services is a plus - Experience in a consulting, professional services, or client-facing delivery environment preferred Requirements - Support the design and implementation of client DevOps solutions and Azure cloud architectures under the direction of senior architects - Assist in architecting and building Development, Testing, and Infrastructure environments on Azure - Contribute to project scoping activities by gathering requirements and documenting technical specifications - Participate in Azure Migrate efforts — assisting app teams with migration of custom and third-party applications to Azure - Create and deploy Terraform Templates and contribute to Infrastructure as Code (IaaC) development - Operate and maintain Azure DevOps pipelines and assist with workflow configuration and troubleshooting - Assist in building automation frameworks to support scaling of environments and new application deployments - Develop scripts and tools to automate manual procedures and increase operational efficiency - Support monitoring and analytics systems and assist with continuous improvement initiatives - Adhere to production change control policies and document process improvement opportunities - Contribute to high-level design documentation, technical assessments, and implementation guides - Assist with disaster recovery and business continuity planning documentation under senior guidance - Support the implementation of AI solutions using Azure services such as Azure OpenAI, Azure Machine Learning, Cognitive Services, and Azure Synapse Analytics - Assist in integrating AI models into enterprise applications, DevOps pipelines, and data workflows - Contribute to MLOps practices including pipeline configuration using Azure DevOps, AKS, and Azure Container Registry - Apply AI tooling to support automation, monitoring enhancement, and anomaly detection on client engagements - Help develop and maintain reusable AI architecture patterns and reference implementations - Ensure implemented AI components meet documented performance, security, and compliance requirements - Actively learn and stay current with emerging Azure AI technologies and share findings with the team - Work closely with senior architects, delivery managers, and client stakeholders to understand requirements and deliver solutions - Participate in client-facing meetings and assist with presentations, status updates, and technical walkthroughs - Contribute to internal knowledge sharing, documentation, and practice asset development - Proactively seek mentorship and feedback from senior team members to accelerate skill growth - Support pre-sales activities including technical research, proposal contributions, and solution brief preparation - Collaborate across practices (InfoSec, Network, Data Center Support, Managed Services) to support integrated delivery Benefits - Medical, Dental, and Vision - Critical Illness, Accident, and Hospital - 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available - Life Insurance (Voluntary Life and AD&D for employee and dependents) - Short and Long-Term Disability - Health Spending Account (HSA) - Transportation Benefits - Employee Assistance Program - Time Off/Leave (PTO, Vacation or Sick Leave) Company Description We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

• Contribute as both an individual contributor and a mentor, guiding teammates within the Cloud Platform Engineering team • Design, build, and maintain automated infrastructure using Terraform and AWS services (Lambda, SQS, RabbitMQ, event-driven technologies) • Develop advanced pipelines (Azure DevOps, GitHub Actions, ArgoCD, FluxCD) to support application deployment across monolithic, stateless, and serverless architectures • Design frameworks aligned with the AWS Well-Architected Framework and security standards (e.g., NIST, NYDFS), ensuring compliance and resilience • Deliver solutions in high-pressure, multi-customer environments, addressing complex needs with speed and precision • Develop tactical plans for IaC strategy and implementation across products with varying maturity levels • Implement and manage IAM policies, permission sets, Security Groups, NACLs, and VPC configurations to maintain strong cloud security posture • Partner with internal and external stakeholders on design and architecture decisions and provide clear project updates to leadership • Architect and develop new AWS services, leveraging tools like Kubernetes, Istio/Linkerd, and Karpenter for scalable, cloud-native solutions • Establish and enforce infrastructure design best practices, templates, and processes that elevate engineering consistency across the organization

• Support and optimize existing server ops and endpoint engineering operations. • Design and implement PaaS and serverless solutions to modernize our platform. • Develop self-service portals and automation frameworks. • Collaborate with teams to evolve processes and adopt platform engineering practices. • Advocate for modernization and support the team’s transition.