P3+Uplift has partnered with a highly innovative Midwest-based enterprise organization in their search for a Principal Architect to help shape and scale next-generation AI capabilities across the business. This role will focus on driving AI-native architecture initiatives supporting areas such as enterprise productivity, product innovation, operational efficiency, and intelligent workflow automation.

This is a rare opportunity to join a highly visible innovation-focused team where you’ll help rapidly prototype, experiment, and architect scalable AI solutions from concept through production in a modern cloud-first environment.

What You’ll Be Doing:
• Lead the architecture and design of enterprise AI and cloud-native solutions
• Design and scale RAG pipelines, vector search systems, and LLM evaluation frameworks
• Build and guide AI agent architectures using modern orchestration frameworks such as LangChain, AutoGen, or similar technologies
• Develop secure and scalable AI-enabled platforms leveraging cloud-native architectures and modern engineering practices
• Integrate enterprise AI technologies including Claude, ChatGPT Enterprise, Copilot, and related AI tooling
• Collaborate closely with architects, platform engineers, security teams, and business stakeholders to define future-state AI capabilities
• Establish governance, observability, security, and intentional AI standards across solutions and platforms
• Lead technical strategy discussions around cloud security, enterprise integrations, and AI platform architecture
• Mentor architects and engineering teams while helping drive innovation and technical excellence across the organization

What We’re Looking For:
• Deep architecture and cloud engineering experience across enterprise-scale environments
• Strong understanding of AI/LLM technologies, vector databases, retrieval systems, and modern AI frameworks
• Experience designing secure cloud-native platforms and distributed systems
• Hands-on experience with AWS, Azure, or GCP cloud environments
• Strong background in security architecture, secure coding practices, and cloud governance
• Experience with SQL and NoSQL database technologies
• Ability to influence technical strategy and communicate effectively with both technical and business leadership
• Someone who thrives in fast-moving, innovative environments and enjoys solving complex technical challenges

Why This Opportunity Stands Out:
• Opportunity to shape enterprise AI architecture strategy from the ground up
• Work on cutting-edge AI, cloud, and intelligent automation initiatives
• Highly visible role with influence across engineering and technology leadership
• Collaborative environment focused on innovation, experimentation, and modern engineering practices
• Opportunity to mentor and guide engineering teams while establishing enterprise architecture standards
• Strong long-term growth potential within a stable and technology-focused organization

If you’re passionate about AI architecture, cloud innovation, and helping enterprises build intelligent next-generation platforms, we’d love to connect with you.

We are partnering with a leading enterprise organization in the Midwest that is investing heavily in next-generation AI capabilities and cloud engineering initiatives. They are seeking a Senior Engineer who is passionate about building scalable AI-driven solutions, modern cloud platforms, and intelligent automation capabilities that can impact the future of enterprise technology.

This is a unique opportunity to work on highly visible AI initiatives involving autonomous agents, large language models, cloud-native engineering, and real-time distributed systems in a collaborative and innovation-focused environment.

What You’ll Be Doing:
• Design, build, and enhance enterprise AI capabilities and intelligent agent-based solutions
• Develop scalable backend systems and APIs using Node.js and AWS cloud technologies
• Build and optimize AI-powered workflows leveraging LLMs, vector search, RAG pipelines, and agentic frameworks
• Create reusable foundational services and shared AI capabilities for engineering teams across the organization
• Collaborate closely with architecture, engineering, and business teams to deliver innovative technical solutions
• Develop AI-driven user experiences and real-time workflow integrations
• Participate in technical architecture discussions, design reviews, and platform modernization efforts
• Help drive AI governance, observability, security, and responsible AI practices
• Mentor engineers and contribute to a highly collaborative engineering culture

What We’re Looking For:
• Strong hands-on experience with Node.js and AWS in enterprise environments
• Interest and practical exposure to AI technologies, LLMs, and autonomous agent frameworks
• Experience building scalable distributed systems, APIs, and cloud-native applications
• Familiarity with AI tooling and frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, or similar technologies is highly preferred
• Understanding of vector databases, embeddings, retrieval systems, and AI evaluation workflows
• Strong communication and collaboration skills with the ability to work across technical and business teams
• Someone who enjoys innovation, problem solving, and staying current on emerging AI technologies

Why This Opportunity Stands Out:
• Opportunity to help shape enterprise AI strategy and engineering direction
• Highly collaborative and innovation-focused environment
• Exposure to cutting-edge AI technologies and modern cloud platforms
• Strong technical leadership and mentorship opportunities
• Long-term growth potential within a stable enterprise organization
• Hybrid flexibility and strong team culture

If you’re excited about AI, cloud engineering, and building intelligent systems that can transform enterprise technology, we’d love to connect with you.

We are partnering with a forward-thinking enterprise organization that is building a cutting-edge technology incubation team focused on innovation, rapid prototyping, and AI-enabled solutions. They are looking for a Lead Software Engineer who thrives in fast-moving environments and enjoys transforming big ideas into real working products and MVPs.

This is an exciting opportunity for someone who loves building from the ground up, experimenting with emerging technologies, and helping shape the future of enterprise engineering and AI-driven development.

What You’ll Be Doing:
• Design, develop, and rapidly prototype innovative applications and proof-of-concept solutions
• Build scalable APIs, services, and full-stack applications using Node.js and TypeScript
• Develop and integrate AI-enabled capabilities including LLMs, RAG pipelines, and agent-based workflows
• Partner with product, architecture, design, security, and business teams to turn ideas into tangible solutions
• Lead technical experimentation and incubation initiatives focused on emerging technologies and future-state capabilities
• Build cloud-native solutions leveraging AWS and/or Azure technologies
• Help establish lightweight engineering standards, patterns, and best practices for rapid delivery environments
• Present demos, prototypes, and technical concepts to stakeholders and leadership teams
• Mentor engineers and foster a collaborative, innovation-driven engineering culture

What We’re Looking For:
• Strong hands-on development experience with Node.js and TypeScript
• Experience building modern APIs, backend services, and cloud-native applications
• Exposure to AI/LLM technologies, prompt engineering, RAG, orchestration frameworks, or AI tooling
• Cloud engineering experience with AWS and/or Azure
• Ability to thrive in ambiguous, fast-paced environments where experimentation and iteration are encouraged
• Strong communication and collaboration skills with both technical and non-technical stakeholders
• Someone who enjoys problem solving, innovation, and staying ahead of emerging technology trends

Why This Opportunity Stands Out:
• Opportunity to work on highly innovative AI and incubation initiatives
• Freedom to experiment, prototype, and influence future technology direction
• Collaborative engineering culture with strong leadership support
• Exposure to cutting-edge AI, cloud, and modern software engineering practices
• High visibility and opportunity to make a significant impact
• Long-term growth potential within a stable enterprise environment

If you’re someone who enjoys building new things, experimenting with emerging technologies, and helping shape the future of enterprise engineering, we’d love to connect with you.

We are partnering with a highly innovative enterprise organization that is building next-generation AI platforms and intelligent engineering capabilities. They are looking for a Senior Platform Engineer who is passionate about cloud architecture, AI-enabled systems, and building foundational platforms that empower teams to deliver smarter and faster solutions.

This role is ideal for someone who enjoys working at the intersection of AI, platform engineering, cloud infrastructure, and emerging technologies while helping shape the future of enterprise engineering practices.

What You’ll Be Doing:
• Design and build scalable AI-enabled platform capabilities and shared engineering services
• Develop and optimize autonomous agent workflows using modern LLM technologies and orchestration frameworks
• Build scalable RAG pipelines, vector search solutions, and AI evaluation workflows
• Develop cloud-native platforms and APIs leveraging AWS, Azure, or similar cloud technologies
• Partner with architects, engineering teams, and business stakeholders to deliver scalable and secure technical solutions
• Implement observability, governance, and responsible AI practices across platforms and workflows
• Integrate enterprise AI technologies including GPT, Claude, Copilot, and related tooling
• Help establish engineering standards, reusable frameworks, and modern platform architecture patterns
• Mentor engineers and provide technical leadership across teams and initiatives

What We’re Looking For:
• Strong platform engineering and cloud architecture experience
• Hands-on experience with Node.js, TypeScript, Python, Java, or similar backend technologies
• Experience building distributed systems, APIs, and scalable cloud-native applications
• Exposure to AI/LLM technologies including vector databases, embeddings, retrieval systems, or agent frameworks such as LangChain, LangGraph, AutoGen, or LlamaIndex
• Strong understanding of AWS, Azure, or modern cloud infrastructure environments
• Ability to lead technical discussions and collaborate across engineering, architecture, and business teams
• Someone who enjoys innovation, problem solving, mentoring others, and exploring emerging technologies

Why This Opportunity Stands Out:
• Opportunity to help shape enterprise AI and platform engineering strategy
• Work on cutting-edge AI initiatives and intelligent automation capabilities
• Highly collaborative and innovation-focused engineering environment
• Strong technical leadership and long-term career growth potential
• Exposure to modern cloud, AI, and distributed systems technologies
• Opportunity to influence foundational engineering capabilities used across the organization

If you’re passionate about platform engineering, AI innovation, and building scalable systems that drive enterprise transformation, we’d love to connect with you.

We are partnering with a highly respected enterprise organization that is investing heavily in modern cloud operations, platform reliability, and enterprise observability capabilities. They are seeking an Engineering Leader to drive the strategy, governance, and evolution of a large-scale observability platform that supports critical cloud-native applications and services across the organization.

This is a high-impact leadership opportunity for someone who enjoys building teams, driving operational excellence, and creating scalable observability solutions that improve reliability, performance, and customer experience.

What You’ll Be Doing:
• Lead and mentor a team of engineers focused on observability, reliability, and cloud platform operations
• Define and execute the enterprise observability roadmap across metrics, logs, tracing, alerting, and telemetry strategies
• Build scalable monitoring and observability frameworks that improve incident detection, root cause analysis, and operational resilience
• Establish standards for instrumentation, telemetry collection, tagging, dashboards, alerting, and SLO/SLI frameworks
• Partner with architecture, security, operations, and engineering teams to align platform capabilities with business and technology priorities
• Drive adoption of DevOps, automation, Infrastructure as Code, and cloud engineering best practices
• Lead initiatives focused on platform scalability, telemetry optimization, reliability engineering, and cost management
• Develop reusable tooling, onboarding capabilities, runbooks, and operational frameworks for engineering teams
• Foster a culture of collaboration, accountability, continuous improvement, and blameless postmortems

What We’re Looking For:
• Prior experience leading engineering, platform, cloud, DevOps, or observability-focused teams
• Strong understanding of observability tooling such as Datadog, Grafana, Splunk, Prometheus, Azure Monitor, New Relic, or similar platforms
• Experience implementing SLO/SLI frameworks, telemetry standards, and operational reliability practices
• Strong cloud engineering background with AWS, Azure, or GCP
• Experience with Infrastructure as Code, CI/CD automation, Kubernetes, and modern cloud-native architectures
• Ability to communicate effectively across leadership, engineering, and business teams
• Someone who thrives in collaborative environments and enjoys mentoring and developing teams

Why This Opportunity Stands Out:
• Opportunity to lead enterprise-wide observability and reliability strategy
• High visibility role with strong influence across technology leadership
• Modern cloud-native engineering environment focused on innovation and automation
• Collaborative culture with strong executive support and long-term investment in technology
• Opportunity to shape engineering standards, operational maturity, and platform strategy across the organization
• Strong career growth potential within a stable enterprise environment

If you’re passionate about cloud operations, observability, platform engineering, and leading teams that drive reliability at scale, we’d love to connect with you.