Director of Software Engineering & AI Solutions

CliftonLarsonAllen LLP; Tampa (FL); On-site; USD 170,000 - 210,000; Full time

Benefits offered by this job

Health benefits

Dental benefits

Vision benefits

401k

Job summary

CliftonLarsonAllen LLP is seeking a Software Engineering Director to provide technical leadership across AI-enabled software solutions for client engagements. You will shape architecture, guide implementation, and mentor engineers while collaborating with clients and internal teams.

The role emphasizes hands-on coding when needed, strong cloud and security fundamentals, and a passion for AI-assisted development. Excellent communication with stakeholders is essential.

Qualifications

• 6 years of relevant experience required. 7 years preferred in software engineering, solution architecture, cloud engineering, application development, systems integration, or related technology roles.
• Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.
• 3 or more years of experience providing technical leadership across software engineering teams, complex implementations, solution architecture, or software development initiatives.
• Strong hands-on software engineering background with demonstrated experience designing, developing, integrating, deploying, and supporting production applications.
• Deep understanding of software architecture, APIs, databases, integration patterns, cloud infrastructure, identity and access management, and distributed systems.
• Experience with Microsoft Azure services, such as App Service, Azure Functions, SQL, API Management, Service Bus, Key Vault, storage services, and related cloud capabilities.
• Familiarity with Microsoft platform technologies such as Power Platform, Power Apps, Power Automate, SharePoint, Dataverse, and Copilot Studio, particularly when evaluating low-code versus custom software approaches.
• Experience working with enterprise systems, third-party APIs, data platforms, and integrations that connect applications and data across multiple environments.
• Demonstrated ability to troubleshoot complex technical issues, identify root causes, and solve problems that cross application, infrastructure, integration, and data boundaries.
• Strong client-facing communication skills, including technical discovery, requirements clarification, solution presentations, expectation management, and explaining technical tradeoffs to executive and business audiences.
• Experience developing technical estimates, identifying implementation dependencies, evaluating feasibility, and managing technical delivery risks.
• Working knowledge of Git, CI/CD, DevOps, automated testing, code review, secure development practices, deployment, monitoring, and production support.
• Experience with AI-assisted development tools, coding agents, or AI-enabled engineering workflows, coupled with an understanding of how to validate their outputs for correctness, security, and maintainability.
• Ability to guide and mentor engineers, provide constructive technical feedback, and improve engineering practices through shared knowledge and practical standards.
• Experience working in consulting, professional services, or other client-facing environments where technical decisions must account for business outcomes, budgets, timelines, and changing requirements.
• Demonstrated ability to work effectively across different technology stacks, including unfamiliar or client-managed environments, without relying on a single platform or preferred solution.

Responsibilities

• Lead the technical architecture and implementation of client solutions with custom software, cloud apps, APIs, and AI-enabled capabilities.
• Work directly with clients to understand business processes and translate conversations into practical solution designs.
• Serve as a trusted technical advisor, communicating architecture decisions and risks to stakeholders.
• Maintain hands-on involvement in architecture, prototyping, code reviews, and complex integrations.
• Evaluate approaches across custom development, Azure, Power Platform, and hybrid architectures; recommend simple, effective options.
• Translate business requirements into technical scopes, plans, estimates, dependencies, and acceptance criteria.
• Provide technical leadership across engagements and mentor engineers.
• Establish engineering standards for architecture, coding, testing, CI/CD, and production support.
• Guide deployment in client-owned environments, considering security and operational constraints.
• Apply AI-assisted development tools to accelerate delivery while ensuring quality.
• Collaborate with engineers, AI engineers, data scientists, product teams, and client tech teams.
• Identify opportunities to improve efficiency via reusable patterns and automation.

Skills

Software engineering

Solution architecture

Client communication

Application development

Cloud architecture

API design

Enterprise integrations

Technical estimation

AI-assisted development

Mentorship

Security and reliability

Cross-functional collaboration

Education

Bachelor's degree

Tools

Git

CI/CD

DevOps

Job description

CliftonLarsonAllen LLP is seeking a Software Engineering Director to provide technical leadership across AI-enabled software solutions for client engagements. You will shape architecture, guide implementation, and mentor engineers while collaborating with clients and internal teams.

The role emphasizes hands-on coding when needed, strong cloud and security fundamentals, and a passion for AI-assisted development. Excellent communication with stakeholders is essential.