Principal Software Engineer (AI)

Why Praxent?

We get it. You have options. Let us tell you why we’re different. Our work is changing the world of financial services. Everyday, clients arrive with big ideas for their industry. They’re experts in their field with the vision and resources you need to change everything. All that’s left is the right team to bring that vision to life. If you’re a fast learner and you love working on a wide variety of projects, you’re going to like it here. We help our clients modernize, rather than rebuild, outdated customer-facing software applications. Our clients see a return within weeks instead of months and that’s why they choose us. 

At Praxent, we let you do your work your way. We’re a team of 130+ located throughout the United States and Central/South America. Our role is to encourage you, support you, and give you the freedom you need to thrive. Whether you’re working at home, in a coffee shop, or heck, even on your travels, we’re here to create an environment that lets you live your best life. On your terms.

We trust our people to be their best. It’s a level of autonomy and respect that’s helped us grow a diverse and brilliant team of experts. Experts who also happen to be some of the best colleagues you’ve ever worked alongside. 

This role has been categorized as a Remote position. “Remote” employees do not have a permanent corporate office workplace and, instead, work from a physical location of their choice which must be identified to the Company. Employees may live in the following locations: Texas, Colorado, Florida, Georgia, Massachusetts, Maryland, Minnesota, North Carolina, Oregon, Pennsylvania, South Carolina, Washington, and Wisconsin.

Your Mission: Lead development teams to ensure sprint commitments are met

As a Principal AI Engineer, you will shape Praxent’s AI future by defining technical standards, guiding AI architecture, and enabling teams to deliver high impact AI solutions with confidence and consistency.

You will serve as a technical authority across AI initiatives partnering with sales, delivery, and governance teams to translate business goals into scalable, production ready AI systems. Through leadership, mentorship, and hands on solutioning, you will ensure Praxent remains a trusted AI partner for our clients.

How You’ll Make an Impact:

• Establish Technical Standards & Architecture
  • Define and maintain AI technical standards, reference architectures, prompt libraries, templates, and playbooks.
  • Support the creation and evolution of AI enabled SDLC frameworks with developers that teams can reliably apply across projects.
    
  • Lead architecture reviews and act as a quality gate for AI design decisions.
• Lead Presales AI Solutioning
  • Partner with sales and delivery to design AI strategies, architectures, and proof of concepts.
  • Translate client needs into compelling technical narratives and implementation plans.
  • Serve as a trusted technical voice during early stage client engagements.
• Design & Implement MLOps Platforms
  • Architect and deploy MLOps/AIOps platforms that support model lifecycle management, evaluation, and monitoring.
  • Optimize performance, cost, and reliability across AI deployments.
  • Ensure AI solutions are secure, observable, and production ready.
• Elevate Training & Delivery Quality
  • Develop and deliver AI training programs, workshops, and internal documentation.
  • Maintain AI standards and learning content within internal platforms.
  • Mentor engineers and delivery leads on AI trade-offs, risks, and best practices.

Your Day-to-Day:

• Define AI architecture patterns and review project implementations
• Create reusable AI frameworks, prompts, and playbooks
• Support presales efforts with technical designs and client-facing explanations
• Coach teams through architectural decisions and delivery challenges
• Collaborate cross-functionally to align AI initiatives with business outcomes

Your Qualifications:

• AI & Technical Leadership: Deep experience designing and delivering AI enabled systems in production.
  
  • Strong background in MLOps, model lifecycle management, and evaluation frameworks
  • Proficiency with modern AI/ML frameworks and cloud based AI platforms
• Architecture & Delivery Experience: 8–12+ years of professional experience in software engineering and system architecture. Proven ability to design scalable, secure, and maintainable systems. Experience improving delivery efficiency through standards and tooling
• Client & Communication Skills: Comfortable presenting complex AI concepts to technical and non-technical stakeholders. Ability to connect AI capabilities to measurable business value
• Mentorship & Culture Building: Demonstrated experience mentoring engineers and elevating team capabilities. Passion for building shared understanding and continuous improvement
• Relevant Education May include intensive programs, Bachelor’s degree in Computer Science, Engineering, or equivalent experience
• Values Alignment: We Care Deeply, Always Deliver, Never Settle, Do It Together, Own the Outcome, and approach every situation with a CAN DO mentality – learn more about our Core Values and be sure to let us know which aligns most with your experience!