Designing, developing, testing, and maintaining API & Integration solutions using Microsoft Azure Integration Services with a focus on network observability and monitoring.
Responsibilities
Design comprehensive integration architectures
Lead complex integration projects
Establish integration standards and practices
Mentor junior engineers
SME knowledge in ThousandEyes and Enterprise Monitoring
Requirements
Bachelor's degree in Computer Science, Engineering, or a related field
Design, build, and maintain cloud applications and integrations on Microsoft Azure, including APIs, background services, and event-driven workflows.
Responsibilities
Design, develop, and test cloud applications, REST APIs, and integrations using services such as Azure Functions, Azure App Service, Azure Service Bus, and Azure API Management.
Translate business requirements into technical designs and contribute to architecture decisions, effort estimates, and code reviews.
Build and maintain CI/CD pipelines with Azure DevOps or GitHub Actions, and Azure resource provisioning using Bicep or Terraform.
Implement secure authentication and authorization using Entra ID and managed identities. Use Azure Key Vault to manage secrets and certificates.
Instrument applications with logs, metrics, and traces using Azure Monitor and Application Insights. Diagnose production issues and implement fixes that address their root causes.
Lead the design and governance of enterprise-wide Generative AI architecture, defining strategy, standards, and best practices for scalable, secure, and responsible AI solutions across cloud-native environments.
Responsibilities
Define enterprise-wide Generative AI architecture strategy, standards, and best practices
Design scalable and secure LLM-powered solutions using Azure OpenAI and Azure AI Services
Architect enterprise-grade RAG platforms leveraging vector databases, semantic search, and knowledge management systems
Design and govern Agentic AI ecosystems utilizing AI Agents, tool calling, orchestration, and autonomous workflows
Evaluate and select appropriate foundation models, embeddings, and multimodal architectures
Requirements
Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field
Nice to have: Microsoft Certified: Azure Solutions Architect Expert
Nice to have: Microsoft Certified: Azure AI Engineer Associate
Nice to have: Microsoft Certified: Azure AI Fundamentals
Nice to have: Experience working with Fortune 500 enterprise AI transformation programs
Turn emerging technologies and ideas into practical, high-quality capabilities through applied innovation, rapid prototyping and shared engineering platforms.
Compensation
Annual Bonus Opportunity: Position may be eligible to receive an annual discretionary bonus award from the profit pool.
Responsibilities
Design, build, test and improve prototypes, reference implementations, reusable components, automation and platform capabilities that support wider engineering goals.
Use AI-assisted tools responsibly across analysis, design, coding, testing, documentation and delivery, maintaining human review and accountability.
Analyse business and engineering problems, test assumptions and learn new technologies quickly, adapting recommendations as evidence changes.
Take ownership from initial problem to demonstrable outcome, escalating blockers early and keeping stakeholders informed.
Balance delivery pace with security, testing, maintainability, documentation and agreed processes, avoiding unnecessary risk and technical debt.
Lead the design, build, and operation of AI platform and infrastructure for PJT Partners, enabling secure, scalable AI applications.
Compensation
Expected annualized base salary of $175,000 to $215,000.
Responsibilities
Design, build, and operate the firm’s AI platform, enabling developers to build and deploy Python-based AI applications
Implement and manage Azure AI Foundry environments: model deployments, AI hubs, project workspaces, and access controls
Integrate and operationalize third-party AI APIs (Anthropic Claude API, Azure OpenAI) with secure access patterns, API gateway controls, rate limiting, and cost monitoring
Build internal developer tooling and SDK scaffolding to accelerate AI application development across the firm
Build and maintain data pipelines using Azure Data Factory and Azure Databricks to serve AI application data needs
Requirements
Bachelor’s degree in computer science, Computer Engineering, or related field (Master’s degree is a plus)
Seeking a skilled DevOps Engineer to help optimize DevOps practices, ensure the reliability and performance of technology infrastructure, streamlineine API management, and enhance cross-team collaboration.
Compensation
The pay range for this position is $50.00 - $80.00/hr.
Responsibilities
Lead and support the migration of API endpoints from MuleSoft to Azure API Management (APIM), including setup, monitoring, and performance optimization
Build, maintain, and optimize CI/CD pipelines for various in-house and SaaS applications
Collaborate with DevOps team members to standardize processes and tools across multiple workstreams
Provide L3 support for infrastructure and application-related projects
Contribute to cross-training initiatives and help develop a more unified DevOps practice
Design, develop, and operate middleware solutions that enable secure, scalable communication between enterprise applications and external service providers.
Compensation
Salary Pay Range: $116,300.00 -$155,100.00
Responsibilities
Design and develop integration services and APIs using TypeScript and Node.js.
Build and maintain serverless workloads with Azure Functions and workflow automations with Azure Logic Apps.
Configure and manage API publishing, security, policies, and lifecycle practices with Azure API Management.
Integrate enterprise applications, internal platforms, and external providers through well-defined APIs and resilient messaging or workflow patterns.
Use Azure platform services to support secure, scalable, and highly available integration solutions.
Requirements
Bachelor’s Degree in Software Engineering, Computer Science, or related fields
The Associate Solution Architect will play a critical role in shaping the technical direction of the Salesforce platform, including leading architectural design, ensuring alignment with enterprise standards, and enabling cross-functional teams to deliver high-quality, reusable, and future-ready solutions.
Responsibilities
Architect scalable Salesforce solutions across Sales Cloud, Service Cloud, Experience Cloud, and Financial Services Cloud (FSC).
Lead complex implementations and integrations using APIs, Platform Events, Change Data Capture, Azure Integration Services, Azure API Management, middleware, and enterprise systems.
Define and govern Salesforce architecture standards covering development, security, data management, automation, DevOps, release management, metadata strategy, and cross-org alignment.
Partner with business and technical stakeholders to translate requirements into scalable, secure, and maintainable solutions aligned with strategic objectives.
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