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AI Solutions Architect — Remote Strategy & Delivery

Remote / Online - Candidates ideally in
Denver, Denver County, Colorado, 80285, USA
Listing for: SmartRecruiters, Inc.
Full Time, Remote/Work from Home position
Listed on 2026-10-03
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below

Cap Tech is a team of master builders, creators, and problem solvers who help clients grow efficient, successful businesses. We unite diverse skills and perspectives to transform how data, systems, and ingenuity enable each client to advance what’s possible in a changing world.

As perceptive partners, our U.S-based consultants find inspiration in the unknown and enjoy getting our hands dirty solving our clients’ myriad of challenges. Across industries and business goals, we fuse technical depth and analytical prowess with creative savvy to move clients forward. This drive helps each organization use technology, management, and insight to turn ideas into action. Together, we create outcomes that exceed the expected — which is one of the reasons we’ve been on the Inc.

500/5000 list for over a decade.

Job Description

Overview

We are seeking an experienced

Solutions Architect – AIto design, lead, and deliver innovative artificial intelligence solutions for our clients. This role blends deep technicalexpertisewith strong consulting skills, enabling you to translate business challenges into scalable, AI-driven architectures. You will work closely with client stakeholders, delivery teams, and leadership to drive successful outcomes across a variety of industries.

Key Responsibilities

Client Engagement & Advisory

Partner with client stakeholders to understand businessobjectivesandidentifyopportunities toleverageAI/ML solutions

Serve as a trusted advisor, guiding clients on AI strategy, roadmap development, and best practices

Lead workshops, discovery sessions, and solution envisioning engagements

Design end-to-end AI/ML architectures, including data pipelines, model development, deployment, and monitoring

Define scalable, secure, and high-performing solutions across cloud platforms (AWS, Azure, GCP)

Evaluate and recommend tools, frameworks, and platforms for AI development (e.g., LLMs, NLP, computer vision)

AI/ML Delivery Oversight

Provide technical leadership across AI initiatives from concept through production

Collaborate with data scientists, engineers, and developers to ensure successful implementation

Establish Agentic Ops practices , including CI/CD for models, model versioning, and lifecycle management

Pre-Sales & Business Development

Support sales teams with solutioning, proposals, and client presentations

Develop reusable assets, accelerators, and AI solution offerings

Contribute to thought leadership, whitepapers, and go-to-market strategies

Governance & Best Practices

Ensure responsible AI practices, including ethics, bias mitigation, and compliance

Define architecture standards, design patterns, and governance frameworks

Stay current on emerging AI trends and technologies

Qualifications

Required Qualifications

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field

10+ years of experience in technology consulting, software architecture, or solution architecture

Hands-on experience designing and delivering AI/ML solutions in production environments

Experience with API design, microservices architecture, and containerization (Docker, Kubernetes)

Experience working with Frontier AI models, local andopensourcemodels

Experience with cloud platforms (AWS, Azure, or GCP) and their AI/ML services

Proficiencyinmultipleprogramming languages

Experience designing data architectures and working with large-scale data platforms

Preferred Qualifications

Familiarity with tools such asLangChain, vector databases, and prompt engineering techniques

Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake)

AI/ML certifications or cloud certifications (e.g., AWS Certified Machine Learning, Azure AI Engineer)

Experience with Legacy Systems and Architectures including SaaS

Strong…

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