Confiz

AI Solutions Architect

Confiz • $150K — $180K *
Denver, CO 80219In-Person
Enterprise Technology
8 - 10 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 10+ years in software/solution architecture; 4+ years in AI/ML architecture.
  • Strong understanding of LLMs, RAG architectures, and agentic AI systems.
  • Hands-on experience with Databricks Lakehouse and Spark-based data processing.
  • Working knowledge of front-end (React/Angular) and back-end development (Node.js/.NET/Python).
  • Experience with Azure, AWS, or GCP AI & data services.
  • Familiarity with ETL/ELT pipelines and data governance.
  • Proficient in Python, with knowledge of SQL, and at least one full-stack language.

Responsibilities

  • Design and architect AI/ML solutions, including LLM-based applications and predictive models.
  • Define data architecture and pipelines using Databricks for large-scale data processing.
  • Integrate AI models into web and enterprise applications, covering both front-end and back-end.
  • Evaluate and select AI frameworks and LLM providers based on use-case fit.
  • Establish best practices for model lifecycle management, including versioning and monitoring.
  • Collaborate with cross-functional teams to translate business requirements into technical architecture.
  • Design scalable and secure cloud architectures for AI workloads.

Benefits

  • Opportunity to work on cutting-edge AI technologies and solutions.
  • Collaborative environment with a focus on mentorship and team development.
  • Flexibility in working arrangements."
  • Access to professional development resources and certifications.
  • Participation in architecture reviews and innovation initiatives.
Full Job Description
Confiz is seeking an AI Architect who can design and drive end-to-end AI-powered solutions from data engineering and model architecture to full-stack integration and deployment. This role bridges data platforms, AI/ML systems, and application development, ensuring solutions are scalable, secure, and production-ready.

Responsibilities
  • Design and architect AI/ML solutions, including LLM-based applications, agentic systems, and predictive models, aligned with business objectives.
  • Define data architecture and pipelines using Databricks (Delta Lake, Unity Catalog, MLflow) for large-scale data processing and model training/serving.
  • Architect full-stack solutions that integrate AI models into web/enterprise applications - covering front-end, back-end APIs, and cloud infrastructure.
  • Evaluate and select appropriate AI frameworks, LLM providers (OpenAI, Anthropic, Azure AI Foundry, etc.), and vector databases for use-case fit.
  • Establish best practices for model lifecycle management: versioning, monitoring, retraining, and governance.
  • Collaborate with data engineers, ML engineers, full-stack developers, and product owners to translate business requirements into technical architecture.
  • Design scalable, secure, and cost-optimized cloud architectures (Azure/AWS/GCP) for AI workloads.
  • Conduct architecture reviews, POCs, and technical feasibility assessments for new AI initiatives.
  • Mentor engineering teams on AI integration patterns, prompt engineering, RAG pipelines, and agentic workflows.
  • Ensure solutions meet performance, security, and compliance standards (data privacy, responsible AI practices).

Requirements
  • 10+ years in software/solution architecture, with 4+ years specifically in AI/ML architecture.
  • AI/ML: Strong understanding of LLMs, RAG architectures, agentic AI systems, prompt engineering, model fine-tuning, and MLOps.
  • Databricks: Hands-on experience with Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow, Databricks Workflows), Spark-based data processing.
  • Full-Stack Development: Working knowledge of front-end (React/Angular) and back-end (Node.js/.NET/Python) development, API design (REST/GraphQL), and microservices architecture.
  • Cloud Platforms: Experience with Azure (AI Foundry, Cognitive Services) and/or AWS/GCP AI & data services.
  • Data Engineering: Familiarity with ETL/ELT pipelines, data modeling, and data governance.
  • Programming: Python (mandatory), plus exposure to SQL, and at least one full-stack language (JavaScript/TypeScript, C#, or Java).
  • Architecture: Proven experience designing scalable, distributed systems; solid grasp of system design principles, security, and DevOps/CI-CD practices.
  • Strong stakeholder communication skills - ability to translate technical architecture into business value for both technical and non-technical audiences.

Nice to Have
  • Experience with vector databases (Pinecone, Weaviate, Snowflake Cortex).
  • Exposure to containerization (Docker/Kubernetes) and infrastructure-as-code (Terraform/Bicep).
  • Prior experience in a client-facing or pre-sales/solutioning capacity.
  • Certifications in Azure/AWS AI or Databricks (Databricks Certified Data Engineer/ML Associate).

About Confiz

Confiz is a technology consulting company specializing in software development, cloud computing, data analytics, and mobile application development. The company was founded in 2005 and is headquartered in Lahore, Pakistan. Confiz has worked with clients in a variety of industries, including healthcare, finance, and retail. The company has a team of over 1000 employees and has offices in Pakistan, the United States, and the United Arab Emirates.
Learn more about Confiz
Size
1,000 employees
Industry
Information Technology
Net Income
$2 million
Founded
2005
5 Year Trend
+20%
Revenue
$20 million
* Ladders Estimates

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