AI Solutions Architect

Position Overview

We are seeking an experienced and strategic AI Solutions Architect to lead the design, architecture, and implementation of enterprise AI solutions that drive business transformation and innovation. This role is responsible for translating business objectives into scalable AI architectures, guiding technical teams, and ensuring successful deployment of AI-powered products and platforms.

The ideal candidate has deep expertise in Artificial Intelligence, Machine Learning, Generative AI, cloud architecture, enterprise systems integration, and solution design. They possess a strong understanding of both business and technical requirements and can effectively bridge the gap between executive stakeholders and engineering teams.

Location Requirement

To support client engagement, collaboration, and strategic business initiatives, candidates must currently reside in one of the following metropolitan areas in the United States:

• Dallas

• Houston

• Austin

• Atlanta

• Jacksonville

• Miami

• Nashville

• Charlotte

• Phoenix

Candidates residing outside of these locations will not be considered for this position.

Key Responsibilities

AI Solution Architecture & Design

• Design end-to-end AI and Machine Learning solution architectures aligned with business objectives

• Develop scalable, secure, and cost-effective AI platform architectures

• Define technical roadmaps and AI implementation strategies

• Evaluate and recommend appropriate AI technologies, frameworks, and tools

• Create architecture diagrams, solution blueprints, and technical documentation

• Ensure solutions meet performance, scalability, security, and compliance requirements

Generative AI, LLMs & Intelligent Automation

• Architect solutions leveraging Large Language Models (LLMs), AI agents, and Generative AI technologies

• Design Retrieval-Augmented Generation (RAG) systems and enterprise knowledge platforms

• Define prompt engineering, orchestration, and agent-based workflows

• Evaluate and integrate AI platforms such as OpenAI, Anthropic, Gemini, Llama, Mistral, and other emerging technologies

• Design intelligent automation solutions to improve business operations and productivity

• Establish AI governance, monitoring, and optimization strategies

Cloud Architecture & Infrastructure

• Design AI-native cloud architectures across AWS, Azure, and GCP environments

• Develop scalable AI infrastructure for model training, inference, and deployment

• Define containerization, orchestration, and deployment strategies using Docker and Kubernetes

• Collaborate with DevOps and Infrastructure teams to implement CI/CD and MLOps pipelines

• Optimize cloud resource utilization, performance, and cost management

• Ensure high availability, resilience, and disaster recovery capabilities

Enterprise Systems Integration

• Architect integrations between AI platforms and enterprise applications

• Connect AI solutions with CRM, ATS, ERP, HRIS, data warehouses, and business systems

• Design API-driven architectures and microservices-based integrations

• Support enterprise data strategies and interoperability requirements

• Ensure seamless flow of data across systems and applications

• Define standards for integration security and governance

Data & AI Platform Strategy

• Design data architectures that support machine learning and AI workloads

• Define data ingestion, transformation, storage, and governance frameworks

• Collaborate with Data Engineers and Data Scientists on platform design

• Ensure data quality, accessibility, and scalability for AI initiatives

• Support implementation of vector databases and semantic search solutions

• Establish best practices for AI and data platform operations

Security, Governance & Compliance

• Ensure AI solutions adhere to enterprise security standards and policies

• Design architectures that support privacy, regulatory, and compliance requirements

• Establish responsible AI governance frameworks and controls

• Conduct architecture risk assessments and mitigation planning

• Define monitoring, auditability, and model governance processes

• Support compliance with industry-specific regulations and standards

Stakeholder Engagement & Technical Leadership

• Partner with executives, business leaders, product teams, and engineering teams

• Translate business requirements into scalable technical architectures

• Lead architecture reviews, technical workshops, and solution design sessions

• Provide guidance and mentorship to engineering and AI teams

• Support pre-sales, client presentations, and solution demonstrations when required

• Drive AI innovation and enterprise transformation initiatives

Qualifications

Required

• Bachelor's degree in Computer Science, Engineering, Information Technology, Artificial Intelligence, or a related field

• 7+ years of experience in software engineering, solution architecture, cloud architecture, or enterprise technology roles

• 3+ years of experience designing AI, Machine Learning, or Generative AI solutions

• Strong understanding of AI/ML architecture patterns and enterprise system design

• Experience with cloud platforms (AWS, Azure, and/or GCP)

• Strong knowledge of APIs, microservices, distributed systems, and integration architecture

• Experience with AI platforms, LLMs, and Generative AI technologies

• Strong communication, presentation, and stakeholder management skills

• Ability to translate complex technical concepts into business-focused solutions

• Must currently reside in one of the approved locations listed above

Preferred (Nice-to-Have)

• Master's degree in Computer Science, Artificial Intelligence, Data Science, or related field

• Cloud certifications such as AWS Solutions Architect, Azure Solutions Architect, or Google Cloud Professional Architect

• Experience with OpenAI, Anthropic, Gemini, Llama, Mistral, or enterprise AI platforms

• Knowledge of LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, or AI orchestration frameworks

• Experience designing RAG, AI agent, and enterprise search solutions

• Familiarity with MLOps, ModelOps, and AI governance frameworks

• Experience with vector databases such as Pinecone, Weaviate, Qdrant, Milvus, or Chroma

• Experience supporting enterprise digital transformation initiatives

• Consulting, client-facing, or pre-sales architecture experience

• Experience in highly regulated industries such as healthcare, financial services, insurance, or government

Key Performance Indicators (KPIs)

Architecture & Solution Delivery

• AI solutions successfully designed and implemented

• Project delivery success rate

• Architecture review approval rate

• Stakeholder satisfaction scores

Business Impact

• Revenue growth or cost savings driven by AI initiatives

• Business process improvements and automation outcomes

• Adoption and utilization of AI solutions

• Strategic objectives achieved through AI implementations

Platform Performance & Scalability

• System uptime and reliability

• AI platform performance and scalability metrics

• Infrastructure cost optimization

• Security and compliance adherence

Innovation & Strategy

• AI innovation initiatives launched

• New technologies evaluated and adopted

• Contribution to enterprise AI roadmap

• Successful proof-of-concept and pilot project outcomes

Leadership & Collaboration

• Cross-functional project success rate

• Technical mentorship and team development contributions

• Executive and stakeholder feedback

• Effectiveness of architecture governance and standards

Reporting To

• Director of AI

• Head of Enterprise Architecture

• Director of Technology

• Chief Technology Officer (CTO)

• Chief Information Officer (CIO)

• Chief AI Officer (CAIO)

Employment Type & Work Setup

• Full-Time

• Remote (Candidates must reside in approved locations)

• Hybrid opportunities may be available based on business and client requirements

• Occasional travel may be required for client meetings, workshops, or strategic planning sessions

• Agile and collaborative work environment

Work Environment & Conditions

• Fast-paced and innovation-focused technology environment

• Collaboration with executives, business leaders, AI teams, and engineering organizations

• Opportunity to lead enterprise-scale AI transformation initiatives

• Access to modern AI, cloud, and enterprise technology platforms

• Strong emphasis on scalability, security, governance, and measurable business outcomes

• Career growth opportunities into Enterprise Architecture, AI Leadership, and Executive Technology roles