Applied AI Solutions Architect in Abbeyville, Colorado at Jobgether

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Applied AI Solutions Architect based in United States.

The Applied AI Solutions Architect will design and deliver innovative AI solutions that transform complex business challenges into measurable outcomes.
This role combines deep technical expertise with strategic client engagement, helping organizations move AI initiatives from experimentation to production.
You will architect scalable solutions across machine learning, generative AI, LLM applications, intelligent automation, and modern data platforms.
Working closely with stakeholders and delivery teams, you will guide technical decisions, create implementation roadmaps, and ensure successful adoption.
The position offers the opportunity to shape enterprise AI strategies while working in a collaborative, remote-first environment.
You will contribute to responsible AI practices by prioritizing security, governance, reliability, and long-term business value.
This is an impactful role for a hands-on AI leader who enjoys solving complex problems and driving innovation at scale.

As an Applied AI Solutions Architect, you will be responsible for designing, guiding, and delivering production-ready AI solutions while partnering with clients and internal teams to ensure successful outcomes.

• Lead the architecture and design of end-to-end Applied AI solutions spanning predictive machine learning, MLOps, generative AI, LLM applications, agentic workflows, and intelligent automation.
• Translate complex business needs into technical architectures, solution designs, implementation plans, and measurable success criteria.
• Support prototypes, proofs of concept, and production deployments by providing hands-on technical guidance and ensuring high-quality delivery.
• Collaborate with clients, architects, engineers, and cross-functional teams through discovery sessions, architecture workshops, and roadmap discussions.
• Recommend appropriate AI, cloud, and data technologies while helping stakeholders navigate complex technical decisions.
• Ensure AI systems are built with strong standards around security, scalability, observability, governance, cost optimization, and ongoing performance monitoring.
• Guide the transition of AI initiatives from early experimentation into reliable enterprise solutions.
• Contribute to reusable frameworks, technical accelerators, demonstrations, proposals, and knowledge-sharing initiatives.

The ideal candidate is a technically strong, client-oriented AI professional with experience designing and delivering modern data and AI solutions in complex environments.

• 8+ years of experience designing, building, or delivering Data, Analytics, Cloud, Software, Machine Learning, or AI solutions.
• At least 5 years of experience designing or leading production AI, machine learning, MLOps, or data-intensive solutions.
• Strong understanding of applied AI concepts, including predictive ML, generative AI, LLM applications, retrieval-augmented generation (RAG), and agentic architectures.
• Hands-on experience developing and operating production AI/ML systems, including evaluation, monitoring, security, governance, and lifecycle management.
• Experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, or similar technologies.
• Strong programming skills, preferably with Python, along with solid SQL knowledge and experience with software development practices.
• Ability to translate business requirements into scalable technical architectures and actionable delivery plans.
• Experience collaborating with enterprise clients and leading technical discussions with both technical and non-technical stakeholders.
• Bachelor’s or master’s degree in computer science, engineering, data science, or a related technical field, or equivalent practical experience.
• Experience with agentic AI systems, orchestration frameworks, enterprise RAG solutions, AI workflow automation, or cloud-native AI services is highly valued.
• Familiarity with model monitoring, feature stores, model registries, AI evaluations, prompt management, AI gateways, and data/model lineage is preferred.
• Strong communication, problem-solving, collaboration, and stakeholder management skills.

• Remote-first work environment with flexibility to collaborate across distributed global teams.
• Competitive compensation package with excellent employee benefits.
• 401(k) plan with company match.
• Dental and vision insurance coverage.
• Home office equipment stipend to support remote productivity.
• Annual learning and development stipend to support professional growth.
• Four weeks of paid time off plus 10 company holidays.
• Access to challenging AI and data transformation projects with leading organizations.
• Opportunities for mentorship, career development, and continuous learning.
• Collaborative culture focused on innovation, autonomy, transparency, and meaningful impact.
• Inclusive workplace committed to supporting diverse backgrounds, perspectives, and experiences.