[Hiring] Staff AI Engineer @Alkami Technology

Role Description

The Staff AI Engineer will lead the adoption of AI-assisted development, agent-based automation, and intelligent engineering workflows to accelerate developer productivity, improve software quality, and modernize legacy systems. The ideal candidate has strong hands-on experience in cloud-native systems, enterprise architecture, and multi-stack engineering, while actively leveraging GenAI coding assistants and agentic orchestration frameworks to transform the way software is built, tested, and operated.

• Drive the adoption of AI-assisted software development practices across the SDLC.
• Implement context-driven AI code generation using tools such as GitHub Copilot, Claude Code, emerging enterprise code assistants.
• Design frameworks for AI-powered developer productivity, including intelligent code generation, documentation synthesis, and refactoring.
• Architect and implement agentic workflows to automate engineering processes such as:
  • Bug detection and fixing
  • Code quality validation
  • Test generation
  • Release readiness
• Build agent-based orchestration pipelines using tools such as n8n, OpenClaw, emerging agent orchestration platforms.
• Implement engineering automation using multi-agent systems, A2A protocols, and Model Context Protocol (MCP).
• Design and deploy AI-powered development lifecycle solutions including:
  • AI-assisted code reviews
  • Automated testing and quality engineering
  • Agent-based CI/CD augmentation
  • AI-driven root cause analysis
• Implement Agentic QA and bug remediation systems that proactively detect and resolve defects.
• Lead initiatives to modernize legacy applications using AI-assisted refactoring and migration.
• Apply AI models to codebase understanding, architecture reconstruction, automated migration strategies.
• Design scalable cloud-native architectures across major cloud platforms.
• Apply Infrastructure as Code (IaC) practices using modern tooling.
• Integrate AI engineering platforms with enterprise systems and developer platforms.
• Implement telemetry-driven development insights using observability platforms.
• Leverage AI for operational insights, anomaly detection, performance optimization.
• Ensure AI engineering solutions follow secure development practices.
• Apply principles of Responsible AI, AI ethics, model governance, data protection.
• Establish guardrails for enterprise AI-assisted development.

Qualifications

• Typically requires 12+ years of experience in software engineering, distributed systems, cloud-native development, or AI-augmented engineering transformation.
• Hands-on experience with Generative AI development tools.
• Experience designing large-scale distributed systems.
• Experience implementing AI-powered SDLC platforms.
• Hands-on work with agent orchestration frameworks.
• Experience with AI-driven legacy modernization.
• Deep understanding of LLM-based developer tools.
• Experience across diverse technology ecosystems including Python, Java, .NET, JavaScript / Vue.js.
• Experience across Cloud computing platforms (AWS / Azure / GCP), Infrastructure as Code, Platform engineering, Developer platforms, API-driven architectures.
• Hands-on experience with GenAI code assistants (Copilot, Cursor, Claude), Agentic workflow systems, Multi-agent architectures, Model Context Protocol (MCP).
• Experience contributing to AI-driven SDLC transformation initiatives, including adoption of AI coding assistants, context-aware code generation, automated testing, and agentic workflow automation across the software development lifecycle with hands-on coding.
• Experience applying AI to improve developer productivity, software quality, legacy modernization, bug remediation, and engineering automation.
• Exposure to implementing AI-enabled engineering practices across one or more stages of the SDLC, including design, development, testing, deployment, and operations.
• Proficient in API fundamentals and best practices, REST API architecture.
• In-depth understanding of the entire software development process (design, development, and deployment).
• Advanced experience developing and deploying applications for Cloud Native Infrastructure, using CI/CD tools following best practices.
• Experience building applications in microservice architecture with API-first mindset.
• Collaborates effectively within the agile framework with a problem-solving attitude and willing to take a variety of approaches.
• Excellent analytical and time management skills, with a proven ability to deliver cross-organization impact independently.
• Proven ability to work cross-functionally, experience with planning and leading complicated technical projects that work with several teams within the company.
• Excellent leadership, written and verbal communication skills.

Requirements

• Master’s degree in engineering, technology or related field (preferred).
• Experience working with SaaS offerings in the technology and financial industries (preferred).
• Experience building and deploying applications on Amazon Web Services (preferred).
• Experience and familiarity with mobile application development (preferred).

Benefits

• Remote-first environment.
• Unlimited paid time off.
• 401(k) with employer match.
• Diverse and inclusive culture.

Company Description

Alkami is the digital sales and service platform provider for U.S. banks and credit unions. Our unified Platform integrates onboarding, digital banking, and data and marketing—each solution can stand alone, but together they deliver more—to help institutions onboard, engage, and grow relationships. As the future shifts toward Anticipatory Banking, we help data-informed bankers meet the moment with technology that drives action.

Founded in 2009, we continue to be recognized for our intentional culture and tremendous growth (Best Place to Work in Fintech; Best & Brightest to Work For Nationally; and Comparably’s Best Company Culture, Best Career Growth, Best Engineering Team, and Best Places to Work in Dallas, among others).

We’re building a culture where each Alkamist can perform to their highest potential, and we’re always on the lookout for the best and brightest minds.