Solutions Architect

About Tungsten Automation
Tungsten Automation (formerly Kofax) is a global leader in AI-powered workflow automation solutions. We specialize in streamlining data-intensive workflows, driving digital transformation, and delivering intelligent automation solutions for enterprises worldwide. Our TotalAgility platform is at the forefront of revolutionizing intelligent document processing, workflow automation, and process orchestration.
We are seeking a highly skilled and innovative AI Solutions Architect to design and implement cutting-edge AI-driven solutions using Tungsten Automation's platform. This role combines deep technical expertise specifically with artificial intelligence, strategic consulting, and solution design to deliver transformative automation outcomes for enterprise clients. The ideal candidate will be a trusted advisor to clients, leveraging artificial intelligence along with the Tungsten Automation platform to solve complex business challenges and drive digital transformation initiatives.
Lead AI-Powered Solutions: Design and implement AI-powered automation solutions using the TotalAgility platform, with a focus on leveraging AI/GAI technologies and large language models (LLMs)
Advanced AI Integration: Apply experience with retrieval-augmented generation (RAG), vector databases (e.g. Pinecone, Weaviate, FAISS), and enterprise search for AI-driven knowledge discovery
Optimize AI Performance: Cloud Architecture: Incorporate cloud architecture best practices to design scalable, secure, and efficient deployments of TotalAgility solutions
AI and ML Capabilities: Leverage AI and machine learning capabilities, including natural language processing (NLP), computer vision, and LLMs, to optimize document processing, data extraction, and decision-making workflows
Programming and Development: Apply relevant programming skills (e.g., Python, Java, or .NET) to support solution development and customization within TotalAgility
Build trusted relationships with key stakeholders, including C-level executives, to drive adoption and long-term success of Tungsten Automation solutions
Production AI Experience: Leverage experience with deploying, monitoring, and maintaining AI/LLM models in production (e.g., Azure ML, AWS Sagemaker, or Kubernetes-based ML pipelines)
Thought Leadership: Provide thought leadership on AI-driven automation trends and best practices, both internally and externally
Serve as the primary point of contact for high-value clients and partners, building trusted relationships and driving long-term partnerships
Maintain a strong grasp of enterprise security practices (IAM, data encryption, SOC2, GDPR, HIPAA) when integrating AI into regulated industries

Educational Foundation
Bachelor's degree in Computer Science, Information Systems, or a related technical field required
Relevant AI/ML certifications are a plus
10+ years proven experience in solution architecture, AI-driven automation, or a related field, with a focus on enterprise-scale implementations
~ Deep AI expertise with technical understanding of AI/GAI technologies, including LLMs, machine learning, NLP, and computer vision, and their application in business automation
~ Integration experience with expertise in using APIs, RESTful web services, and Tungsten Automation's SDK to integrate and customize solutions
~ Cloud deployment experience with cloud architecture and deployments, including designing scalable and secure cloud-based solutions

Proficiency in relevant programming languages (e.g., Python, Java, .NET) to support solution development
Experience with cloud architecture and deployments
Knowledge of AI/ML model deployment and production management
Strategic mindset with a passion for driving digital transformation and delivering measurable business outcomes
Experience mentoring and developing technical talent
Be part of a global leader in AI-powered workflow automation, recognized for setting industry standards in intelligent automation and process orchestration
Collaborate with a team of innovative professionals dedicated to driving customer success and digital transformation
Travel Requirements
Up to 50% travel required to support client engagements and solution delivery.