Senior AI Software Architect
neteffects
About the role
About
We are seeking a Senior AI Software Architect to help lead and shape enterprise AI initiatives within a growing technology environment actively expanding its AI strategy and engineering capabilities.
This is a highly visible architecture-level role focused on driving AI adoption, software architecture strategy, engineering best practices, and scalable AI/ML solution development across the organization.
The environment is early in its AI journey and looking for someone who can help evaluate where AI fits into the business, guide implementation strategy, mentor teams, and help mature engineering and AI delivery processes moving forward.
Current AI Environment:
- Teams are actively leveraging AI platforms including Claude and Devin to generate and test prototypes before engineering teams begin full application development
- The organization is continuing to evolve and improve AI engineering workflows, delivery strategy, and operational processes
- Strong opportunity to influence long-term AI architecture and enterprise adoption strategy
Key Responsibilities:
- Architect and lead development of AI-driven platforms and scalable enterprise software systems
- Collaborate with engineering, product, and business teams to define AI use cases and technical strategy
- Evaluate AI frameworks, software technologies, and cloud platforms for scalability and long-term maintainability
- Establish best practices around AI/ML engineering, software architecture, MLOps, DevOps, CI/CD, and automated testing
- Mentor engineering teams and help drive innovation and engineering excellence
- Guide long-term technical strategy and enterprise AI roadmap initiatives
- Support secure, ethical, and compliant AI development practices
- Participate in code reviews, architectural planning, and engineering governance activities
Required Experience:
- 7+ years of software architecture and engineering experience
- 2+ years focused on AI/ML systems and AI-driven engineering initiatives
- Strong cloud experience within AWS, Azure, or GCP environments
- Experience designing and deploying scalable AI/ML software solutions
- Strong understanding of machine learning, generative AI, NLP, and modern AI tooling
- Experience mentoring teams and influencing technical strategy
- Strong application development background
- 5+ years of hands-on experience with Visual Studio .NET
- 5+ years of relational database experience, preferably SQL Server
- Strong communication and leadership skills with the ability to collaborate across business and technical teams
Preferred Background:
- Enterprise AI architecture experience
- AI engineering workflow optimization
- CI/CD and DevOps best practices
- MLOps exposure
- Experience helping organizations scale AI adoption and engineering maturity
- Strategic thinker capable of aligning technical vision with business goals
Additional Notes:
- Hybrid onsite role in Bridgeton, MO
- Local St. Louis-area candidates only
- Quick interview process due to active hiring timeline
- Candidates should be available for video screening interviews over the next couple of days
Compensation & Benefits:
- Pay: $80.00 - $84.00 per hour
- Conversion Salary Target: $150,000-$160,000
- Benefits Available While on Contract
- 401(k)
- 401(k) matching
- Dental insurance
- Health insurance
- Life insurance
- Paid time off
Work Location:
- Hybrid remote in St. Louis, MO 63131
Work Authorization:
- W2 only – No C2C or sponsorship available
- Local Candidates Only – No relocation assistance available
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