Experis

Architect and implement Pega AI and Customer Decisioning Hub solutions, including real-time decisioning strategies, integrations, and governance. | Requires Pega CLSA certification and hands-on Pega CDH/customer decisioning experience, plus API and data integration skills and familiarity with AI governance. | Our client, a leading enterprise organization is seeking a Pega AI CDH Architect to join their team. As a Pega AI CDH Architect, you will be part of the Technology organization supporting Decisioning and AI Enablement teams. The ideal candidate will have hands-on technical ownership, strong architecture and implementation experience, and the ability to independently drive complex Pega AI and Customer Decisioning Hub (CDH) delivery with minimal supervision, which will align successfully in the organization. Job Title:Pega AI CDH Architect Location:Remote (United States) Pay Range:$145000 - $180000 What's the Job? • Design, configure, develop, integrate, troubleshoot, and implement Pega AI capabilities and Customer Decisioning Hub (CDH) solutions. • Lead hands-on implementation of Pega AI features, including Knowledge Buddy and Voice AI, and apply Pega guardrails and best practices throughout delivery. • Build and optimize AI-powered decisioning strategies such as Next-Best-Action, Strategy Designer, adaptive and predictive models, and real-time decisioning. • Integrate Pega with enterprise APIs, data platforms, and external AI services, including LLMs, while ensuring reliable event-driven and real-time integrations. • Support AI governance and model governance requirements, including responsible AI considerations, and continuously improve performance and reliability of AI/decisioning components. What's Needed? • Pega Certified Lead System Architect (CLSA) certification (must-have). • Experience implementing Pega CDH (Customer Decisioning Hub), with strong hands-on capability in customer decisioning strategies and engagement policies. • Hands-on Pega AI experience (preferred), including Pega Knowledge Buddy and/or Pega Voice AI; if not available, demonstrate other forms of AI within Pega. • Strong experience with REST APIs and working with JSON, XML, and SQL, including integration patterns for real-time and event-driven systems. • Experience with customer profiles, propositions, eligibility rules, and customer journeys, plus familiarity with AI governance/model governance. What's in it for me? • Opportunity to take direct technical ownership across both Pega AI and CDH (approximately 50% Pega AI / 50% CDH). • Work in a remote role with the ability to collaborate across multiple U.S. markets. • Contribute to AI-powered customer engagement and personalization through real-time decisioning. • Build solutions that require thoughtful governance, responsible AI alignment, and adherence to Pega implementation standards. • Join a team where your architecture and hands-on delivery skills can make an immediate impact. Upon Completion Of Waiting Period Consultants Are Eligible For • Medical and Prescription Drug Plans • Dental Plan • Vision Plan • Health Savings Account • Health Flexible Spending Account • Dependent Care Flexible Spending Account • Supplemental Life Insurance • Short Term and Long Term Disability Insurance • Business Travel Insurance • 401(k), Plus Match • Weekly Pay If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells – creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Design and build AI-powered automation backend systems and intelligent agents integrating with AI models for enterprise software. | Professional experience building production backend systems with TypeScript or Python, AI tool usage, scalable distributed systems, and production deployment. | Sr. Software Engineer, Full Stack (AI and Automation) Location: Raleigh NC Preferred (Open to Remote) Type: Direct Hire Role Salary Range: $155,000 - 175,000 The Opportunity Join our founding engineering team building the AI automation layer for enterprise infrastructure. You'll work directly with our CTO to architect and scale backend systems that power intelligent agents running on specialized enterprise software environments. This isn't about building yet another SaaS app. You're building intelligent agents that navigate complex desktop environments, parse documents, integrate with cutting-edge AI models, and execute multi-step workflows autonomously in production environments where reliability is non-negotiable. What You'll Be Doing Build AI-Powered Automation Systems • Design and implement intelligent agents that automate complex, repetitive workflows across specialized enterprise software platforms. • Architect backend services that orchestrate agentic workflows, handling concurrency, reliability, and observability at scale. • Build agentic frameworks and tools to power enterprise agentic use. • Build systems that integrate with state-of-the-art AI models (LLMs, vision models, document parsing) to generate workflows, extract structured data, and drive adaptive execution logic. Scale Backend Infrastructure • Own backend services that power our agent deployments. • Build robust APIs and data pipelines that connect field operations to back-office systems. • Ensure production reliability, performance monitoring, and incident response for mission-critical customer workflows. Collaborate & Ship • Work directly with our CTO and founding team to break down ambitious product goals into shippable milestones. • Bring cutting-edge agentic capabilities into production. • Deploy and iterate rapidly based on real customer feedback from enterprise partners. • Use AI tools throughout your daily workflow to accelerate development and solve complex problems. Required Qualifications • Professional engineering experience building production systems • Fluency in TypeScript or Python or Rust Bonus for more than one. • AI-native mindset: You use AI tools (Claude, Cursor, GitHub Copilot, etc.) every day to accelerate your work and tackle hard problems • Proven problem-solving ability: You can take ambiguous requirements, break them down, and ship working solutions • Startup DNA: You thrive in fast-moving environments where you own outcomes, not just tasks • Hands-on experience withbuilding scalable distributed systems and backend services • Integrating with AI/ML models (OpenAI, Anthropic, or similar APIs) • Deploying and managing production services • Database design and optimization Nice to Have • Experience with distributed workflow orchestration (Temporal.io, Cadence, or similar) • Infrastructure as code and containerization (Docker, Kubernetes) • Background in automation, RPA, or desktop application integration • Prior experience at an early-stage startup (seed to Series A) • Familiarity with industrial/enterprise software, legacy systems, or domain-specific engineering tools You'll Love This Role If You: • Get energized solving technical problems in industries that have yet to be disrupted by automation- we're building a first! • Want to see your code immediately impact real customers doing real work • Prefer shipping and iterating to endless planning and process • Believe AI tools should be core to how engineers work, not a side experiment • Want meaningful equity and influence at a seed-stage company

Design and build AI-powered automation backend systems and intelligent agents for enterprise software environments. | Professional engineering experience with scalable backend services, fluency in TypeScript or Python, AI tool usage, and production system deployment. | Sr. Software Engineer, Full Stack (AI and Automation) Location: Raleigh NC Preferred (Open to Remote) Type: Direct Hire Role Salary Range: $155,000 - 175,000 The Opportunity Join our founding engineering team building the AI automation layer for enterprise infrastructure. You'll work directly with our CTO to architect and scale backend systems that power intelligent agents running on specialized enterprise software environments. This isn't about building yet another SaaS app. You're building intelligent agents that navigate complex desktop environments, parse documents, integrate with cutting-edge AI models, and execute multi-step workflows autonomously in production environments where reliability is non-negotiable. What You'll Be Doing Build AI-Powered Automation Systems • Design and implement intelligent agents that automate complex, repetitive workflows across specialized enterprise software platforms. • Architect backend services that orchestrate agentic workflows, handling concurrency, reliability, and observability at scale. • Build agentic frameworks and tools to power enterprise agentic use. • Build systems that integrate with state-of-the-art AI models (LLMs, vision models, document parsing) to generate workflows, extract structured data, and drive adaptive execution logic. Scale Backend Infrastructure • Own backend services that power our agent deployments. • Build robust APIs and data pipelines that connect field operations to back-office systems. • Ensure production reliability, performance monitoring, and incident response for mission-critical customer workflows. Collaborate & Ship • Work directly with our CTO and founding team to break down ambitious product goals into shippable milestones. • Bring cutting-edge agentic capabilities into production. • Deploy and iterate rapidly based on real customer feedback from enterprise partners. • Use AI tools throughout your daily workflow to accelerate development and solve complex problems. Required Qualifications • Professional engineering experience building production systems • Fluency in TypeScript or Python or Rust Bonus for more than one. • AI-native mindset: You use AI tools (Claude, Cursor, GitHub Copilot, etc.) every day to accelerate your work and tackle hard problems • Proven problem-solving ability: You can take ambiguous requirements, break them down, and ship working solutions • Startup DNA: You thrive in fast-moving environments where you own outcomes, not just tasks • Hands-on experience withbuilding scalable distributed systems and backend services • Integrating with AI/ML models (OpenAI, Anthropic, or similar APIs) • Deploying and managing production services • Database design and optimization Nice to Have • Experience with distributed workflow orchestration (Temporal.io, Cadence, or similar) • Infrastructure as code and containerization (Docker, Kubernetes) • Background in automation, RPA, or desktop application integration • Prior experience at an early-stage startup (seed to Series A) • Familiarity with industrial/enterprise software, legacy systems, or domain-specific engineering tools You'll Love This Role If You: • Get energized solving technical problems in industries that have yet to be disrupted by automation- we're building a first! • Want to see your code immediately impact real customers doing real work • Prefer shipping and iterating to endless planning and process • Believe AI tools should be core to how engineers work, not a side experiment • Want meaningful equity and influence at a seed-stage company

Design and build AI-powered automation backend systems and intelligent agents integrating with AI models and enterprise software. | Senior engineering experience with backend services, TypeScript or Python, AI tool usage, scalable distributed systems, and production deployment. | Sr. Software Engineer, Full Stack (AI and Automation) Location: Raleigh NC Preferred (Open to Remote) Type: Direct Hire Role Salary Range: $155,000 - 175,000 The Opportunity Join our founding engineering team building the AI automation layer for enterprise infrastructure. You'll work directly with our CTO to architect and scale backend systems that power intelligent agents running on specialized enterprise software environments. This isn't about building yet another SaaS app. You're building intelligent agents that navigate complex desktop environments, parse documents, integrate with cutting-edge AI models, and execute multi-step workflows autonomously in production environments where reliability is non-negotiable. What You'll Be Doing Build AI-Powered Automation Systems • Design and implement intelligent agents that automate complex, repetitive workflows across specialized enterprise software platforms. • Architect backend services that orchestrate agentic workflows, handling concurrency, reliability, and observability at scale. • Build agentic frameworks and tools to power enterprise agentic use. • Build systems that integrate with state-of-the-art AI models (LLMs, vision models, document parsing) to generate workflows, extract structured data, and drive adaptive execution logic. Scale Backend Infrastructure • Own backend services that power our agent deployments. • Build robust APIs and data pipelines that connect field operations to back-office systems. • Ensure production reliability, performance monitoring, and incident response for mission-critical customer workflows. Collaborate & Ship • Work directly with our CTO and founding team to break down ambitious product goals into shippable milestones. • Bring cutting-edge agentic capabilities into production. • Deploy and iterate rapidly based on real customer feedback from enterprise partners. • Use AI tools throughout your daily workflow to accelerate development and solve complex problems. Required Qualifications • Professional engineering experience building production systems • Fluency in TypeScript or Python or Rust Bonus for more than one. • AI-native mindset: You use AI tools (Claude, Cursor, GitHub Copilot, etc.) every day to accelerate your work and tackle hard problems • Proven problem-solving ability: You can take ambiguous requirements, break them down, and ship working solutions • Startup DNA: You thrive in fast-moving environments where you own outcomes, not just tasks • Hands-on experience withbuilding scalable distributed systems and backend services • Integrating with AI/ML models (OpenAI, Anthropic, or similar APIs) • Deploying and managing production services • Database design and optimization Nice to Have • Experience with distributed workflow orchestration (Temporal.io, Cadence, or similar) • Infrastructure as code and containerization (Docker, Kubernetes) • Background in automation, RPA, or desktop application integration • Prior experience at an early-stage startup (seed to Series A) • Familiarity with industrial/enterprise software, legacy systems, or domain-specific engineering tools You'll Love This Role If You: • Get energized solving technical problems in industries that have yet to be disrupted by automation- we're building a first! • Want to see your code immediately impact real customers doing real work • Prefer shipping and iterating to endless planning and process • Believe AI tools should be core to how engineers work, not a side experiment • Want meaningful equity and influence at a seed-stage company

Support design, deployment, automation, and management of cloud infrastructure and applications across AWS and Azure. | 3+ years cloud engineering experience, 5+ years AWS/Azure, scripting skills, Terraform, Ansible, Kubernetes knowledge. | Our client, a leading organization in cloud infrastructure and application development, is seeking a Cloud Application Delivery Engineer to join their team. As a Cloud Application Delivery Engineer, you will be part of the Cloud Engineering / Platform Enablement team supporting cloud adoption and automation initiatives. The ideal candidate will demonstrate adaptability, collaborative spirit, and a proactive approach, which will align successfully in the organization. Job Title: Cloud Application Delivery Engineer Location:United States(Remote) Pay Range:$39/hr What's the Job? • Support the design, deployment, automation, and operational management of cloud-based infrastructure and applications across AWS and Azure environments. • Advise application teams on cloud deployment and operational best practices to ensure scalable, secure, and reliable solutions. • Implement monitoring, logging, backup/recovery, and security controls for cloud workloads. • Develop Infrastructure as Code, Configuration as Code, and Security as Code solutions using tools such as Terraform and Ansible. • Automate provisioning of cloud infrastructure, networking, and security services, supporting CI/CD pipelines and cloud-native technologies including Kubernetes and containers. What's Needed? • 3+ years of cloud engineering, DevOps, or infrastructure experience. • 5+ years of experience with AWS and/or Microsoft Azure. • Experience with scripting languages such as PowerShell, Bash, or Python. • Hands-on experience with Terraform, Ansible, CI/CD tools, and Git repositories. • Knowledge of Kubernetes, Docker, cloud networking, security, and DevOps methodologies. What's in it for me? • Opportunity to work with cutting-edge cloud technologies in a dynamic environment. • Engage in continuous learning and professional development. • Collaborate with a diverse and innovative team committed to excellence. • Contribute to impactful projects that drive organizational success. • Flexible remote work arrangement supporting work-life balance. Upon completion of waiting period consultants are eligible for: • Medical and Prescription Drug Plans • Dental Plan • Vision Plan • Health Savings Account • Health Flexible Spending Account • Dependent Care Flexible Spending Account • Supplemental Life Insurance • Short Term and Long Term Disability Insurance • Business Travel Insurance • 401(k), Plus Match • Weekly Pay If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you! About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells. ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands - Manpower, Experis, Talent Solutions, and Jefferson Wells - creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.