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Agentic Developers Jobs in Arizona (NOW HIRING)

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Agentic AI Delivery Leader

Phoenix, AZ · Hybrid

This role partners with executive business leaders, product and engineering teams, data/AI ... Define agentic framework to conduct end-to-end discovery (diagnostics, data/system constraints ...

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... developers build more sustainably. Customers in more than 200 countries and territories turn to ... Accelerate the effort in delivering Agentic Workplace Transformation as a core part of the role ...

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Agentic Developers information

What are the key skills and qualifications needed to thrive as an agentic developer, and why are they important?

To thrive as an Agentic Developer, you need a solid background in software engineering, AI/ML concepts, and agent-based systems, often supported by a degree in computer science or related fields. Familiarity with frameworks such as LangChain, OpenAI APIs, and experience with cloud platforms and workflow orchestration tools are typically expected. Strong problem-solving, critical thinking, and effective communication skills set top performers apart in this emerging field. These competencies enable Agentic Developers to design, build, and manage intelligent, autonomous agents that deliver innovative solutions and adapt to complex real-world tasks.

What is the difference between Agentic Developers vs Software Engineers?

AspectAgentic DevelopersSoftware Engineers
Required CredentialsBachelor's in Computer Science or related field, coding certificationsBachelor's in Computer Science or related field, coding certifications
Work EnvironmentCollaborative teams, project-based settings, tech companiesDevelopment teams, tech firms, startups, corporate IT departments
Employer & Industry UsageTech startups, software firms, digital agenciesTech companies, software development firms, enterprise IT
Search & Comparison IntentYesYes

Agentic Developers and Software Engineers share similar credentials and work environments, often overlapping in tech companies and startups. However, Agentic Developers typically emphasize a proactive, autonomous approach to project execution, whereas Software Engineers focus more on designing, coding, and maintaining software solutions. Understanding these distinctions helps employers and job seekers align expectations and roles effectively.

How do agentic developers typically collaborate with cross-functional teams to implement autonomous systems?

Agentic Developers often work closely with data scientists, UX/UI designers, and product managers to build and integrate autonomous agents within larger software systems. Collaboration usually involves regular sprint meetings, sharing progress on task automation, and aligning system behaviors with user and business requirements. This multidisciplinary teamwork ensures that agentic solutions are robust, user-friendly, and aligned with organizational goals. Open communication and a willingness to iterate on feedback are key to success in this role.

What is an agentic developer?

Agentic developers are software professionals who design, build, or work with systems that exhibit agency—meaning the system can make autonomous decisions and take actions to achieve specific goals. These developers often focus on creating advanced AI agents, multi-agent systems, or applications that integrate autonomous behaviors. Their work typically involves a mix of programming, machine learning, and system design to enable intelligent, proactive software. Agentic developers are increasingly in demand as AI-driven applications become more common across industries.
What are popular job titles related to Agentic Developers jobs in Arizona? For Agentic Developers jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Agentic Developers jobs in Arizona look for? The top searched job categories for Agentic Developers jobs in Arizona are:
What cities in Arizona are hiring for Agentic Developers jobs? Cities in Arizona with the most Agentic Developers job openings:
Agentic Developers jobs near you

Software Engineer - Golang, System Design, Kubernetes Platform Development & AI Automation

Bank of America

Chandler, AZ • On-site

Full-time

Posted 25 days ago

Bank Of America rating

8.2

Company rating: 8.2 out of 10

Based on 525 frontline employees who took The Breakroom Quiz

51st of 170 rated banks

Job description

Job Description:
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day.
Being a Great Place to Work and providing a culture of caring is core to how we drive Responsible Growth. We are intentional about fostering an inclusive workplace where every teammate has the opportunity to succeed, build a career and contribute to our shared success. This includes attracting and developing exceptional talent, recognizing and rewarding performance, and supporting our teammates' physical, emotional, and financial wellness through affordable, competitive and flexible benefits.
We value the unique perspectives individuals bring from all backgrounds and career paths - whether shaped by military service, community college education, or a wide range of work and life experiences. These journeys foster resilience, leadership and innovation, strengthening our workforce and positively impact the communities we serve.
Bank of America is committed to an in-office culture that supports collaboration, engagement, and career development. Our approach includes clear in-office expectations, while providing an appropriate level of flexibility based on role-specific responsibilities and business needs.
At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
Position Summary:
We are seeking a highly skilled Software Engineer with expert-level Golang experience, strong system design capabilities, Kubernetes development expertise, and hands-on exposure to AI-driven/agentic programming practices.
This role requires someone who can go beyond writing application code - someone who can build intelligent, scalable, enterprise-ready platform capabilities.
This role is focused on building scalable backend services, platform APIs, Kubernetes-native automation, and intelligent developer platform capabilities. The ideal candidate is a strong software engineer who can design and build reliable distributed systems in Go, develop software that integrates deeply with Kubernetes, and leverage AI/agentic programming concepts to improve automation, developer productivity, operational workflows, and platform intelligence.
This is not a traditional DevOps, Kubernetes administrator, or basic scripting role. We are looking for an engineer who can write production-grade Go code, design complex systems, build Kubernetes-native components, and apply modern AI-assisted engineering techniques to solve real enterprise platform challenges.
Key Responsibilities:
  • Design, develop, and maintain backend services, platform APIs, automation frameworks, and developer-facing services using Golang.
  • Build scalable, resilient, and secure distributed systems that support enterprise platform engineering capabilities.
  • Develop Kubernetes-native components such as controllers, operators, CRDs, admission webhooks, and automation services.
  • Build software that integrates with Kubernetes APIs, OpenShift, CI/CD platforms, observability tools, security systems, and enterprise infrastructure services.
  • Design API-first solutions using REST, gRPC, event-driven patterns, and asynchronous workflows.
  • Apply strong system design principles around scalability, resiliency, concurrency, caching, reliability, fault tolerance, and performance optimization.
  • Use AI-assisted and agentic programming approaches to improve engineering productivity, automate repetitive platform tasks, and enhance developer experience.
  • Explore and build intelligent automation capabilities such as code analysis agents, remediation workflows, backlog generation, operational assistants, or developer self-service agents.
  • Troubleshoot complex production issues across Go services, Kubernetes workloads, APIs, networking, and distributed systems.
  • Participate in architecture reviews and help define engineering standards for Go-based platform services.
  • Collaborate with platform engineering, SRE, security, DevOps, AI engineering, and application teams to deliver reliable enterprise-scale solutions.

Required Qualifications:
Golang / Backend Engineering
  • Strong hands-on experience developing production-grade applications in Go / Golang.
  • Deep understanding of Go concurrency patterns, goroutines, channels, interfaces, memory management, error handling, context handling, and performance tuning.
  • Experience building REST APIs, gRPC services, backend workflows, and event-driven systems.
  • Strong software engineering fundamentals including clean code, testing, modular design, design patterns, dependency management, and maintainability.
  • Experience designing and building high-throughput, low-latency backend services.
  • Ability to debug complex runtime, concurrency, memory, and performance issues in Go applications.

System Design & Architecture
  • Strong system design and architecture skills.
  • Ability to design scalable, resilient, fault-tolerant, and secure distributed systems.
  • Strong understanding of:
    • Microservices architecture
    • API design
    • Event-driven architecture
    • Distributed systems
    • Caching strategies
    • Asynchronous processing
    • Database design
    • Reliability engineering
    • Observability patterns
    • Failure handling and recovery patterns
  • Ability to evaluate technical tradeoffs across performance, scalability, security, reliability, maintainability, and delivery timelines.
  • Experience taking ambiguous requirements and converting them into clean technical designs and implementation plans.

Kubernetes Development
  • Hands-on experience developing software that integrates with Kubernetes.
  • Strong understanding of Kubernetes architecture and core concepts including:
    • Pods
    • Deployments
    • Services
    • Ingress
    • ConfigMaps
    • Secrets
    • Namespaces
    • RBAC
    • CRDs
    • Controllers
    • Operators
    • Admission Controllers / Webhooks
  • Experience working with Kubernetes APIs and client libraries, preferably using Go.
  • Experience building Kubernetes controllers, operators, automation tooling, or platform extensions.
  • Practical experience with Red Hat OpenShift / OCP is strongly preferred.
  • Ability to troubleshoot Kubernetes workload, API, networking, and platform integration issues.

AI / Agentic Programming Skills
  • Practical experience using AI-assisted engineering tools and applying AI concepts to software development workflows.
  • Understanding of agentic programming concepts, including task planning, tool invocation, workflow automation, context handling, and iterative reasoning loops.
  • Experience building or integrating AI-powered automation, intelligent assistants, code analysis tools, or operational agents is strongly preferred.
  • Ability to identify use cases where AI can improve engineering productivity, reduce manual effort, or enhance platform operations.
  • Familiarity with LLM-based application patterns, prompt engineering, retrieval-augmented generation, tool/function calling, workflow orchestration, or autonomous task execution.
  • Experience applying AI in areas such as:
    • Code scanning and remediation
    • Developer self-service
    • Automated ticket/backlog generation
    • Knowledge extraction
    • Operational troubleshooting
    • Platform support automation
    • Intelligent runbook execution

  • Experience with Kubernetes operator development using Kubebuilder, Operator SDK, controller-runtime, or Kubernetes client-go.
  • Experience with OpenShift platform capabilities including routes, SCCs, operators, cluster integrations, and enterprise platform services.
  • Experience with service mesh technologies such as Istio, Consul, or Linkerd.
  • Experience with CI/CD and GitOps tools such as Tekton, Argo CD, Jenkins, or GitHub Actions.
  • Experience with observability tools such as Prometheus, Grafana, OpenTelemetry, Jaeger, Splunk, or Dynatrace.
  • Experience integrating with enterprise security platforms such as Vault, Venafi, IAM, PKI, or secrets management systems.
  • Experience with cloud or Kubernetes platforms such as OpenShift, EKS, AKS, Rancher, Tanzu, or GKE.
  • Experience with AI frameworks, agent orchestration frameworks, vector search, embeddings, or LLM-based automation platforms.
  • Experience working in financial services or another highly regulated enterprise environment.

Differentiating Skills:
Candidates with the following experience will stand out:
  • Expert-level Golang engineering experience with strong system design depth.
  • Built production-grade backend platforms, APIs, automation frameworks, or developer services.
  • Developed Kubernetes controllers, operators, CRDs, or admission webhooks.
  • Designed and implemented large-scale distributed systems.
  • Built or contributed to internal developer platforms.
  • Integrated Kubernetes with enterprise security, observability, CI/CD, governance, or compliance systems.
  • Built AI-powered engineering tools, agents, automation workflows, or intelligent platform capabilities.
  • Strong understanding of how to combine AI, automation, and platform engineering to reduce operational friction.
  • Ability to explain complex system design decisions and technical tradeoffs clearly.

Ideal Candidate Profile:
The ideal candidate is a Niche Golang software engineer with strong system design skills, real Kubernetes development experience, and practical exposure to AI/agentic programming.
They should be able to design and build scalable backend services, develop Kubernetes-native platform components, and use AI-driven automation to improve developer experience and operational efficiency. This person should think like a software engineer, architect like a systems designer, understand Kubernetes as a development platform, and be curious about how AI can transform platform engineering.
Shift:
1st shift (United States of America)
Hours Per Week:
40

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About Bank Of America

Sourced by ZipRecruiter

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We're devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1998

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