AI Software Architect Consulting Solutions

Job description

AI Software Architect - Consulting Solutions

We are seeking an exceptional AI Software Architect to lead technical strategy and architecture design for 8-week AI solution assessments serving traditional businesses undergoing digital transformation.

This role operates at the forefront of AI consulting, working directly with C-level executives, IT leaders, and enterprise architects to evaluate AI readiness, design comprehensive AI strategies, and deliver actionable technical roadmaps that drive business value and competitive advantage.

Overview

Role Summary: We are seeking an exceptional AI Software Architect to lead technical strategy and architecture design for 8-week AI solution assessments serving traditional businesses undergoing digital transformation.

This role operates at the forefront of AI consulting, working directly with C-level executives, IT leaders, and enterprise architects to evaluate AI readiness, design comprehensive AI strategies, and deliver actionable technical roadmaps that drive business value and competitive advantage.

Key Responsibilities

AI Strategy & Architecture Leadership

• Lead the technical strategy development for 8-week AI solution assessments, working with clients ranging from $20M to $500M+ annual revenue
• Design comprehensive AI architectures incorporating Microsoft Azure AI Services, AWS AI/ML, and Google Cloud AI platforms
• Evaluate and recommend AI technology stacks, frameworks, and deployment models tailored to client business objectives and technical constraints
• Develop multi-cloud and hybrid-cloud infrastructure patterns optimized for AI workloads and enterprise integration requirements

Client Engagement & Technical Assessment

• Conduct in-depth technical assessments of client data landscapes, existing infrastructure, and technology readiness for AI implementation
• Lead stakeholder interviews with CTOs, IT Directors, Enterprise Architects, and technical teams to understand current state and future vision
• Perform comprehensive evaluations of data quality, availability, governance frameworks, and integration capabilities
• Assess MLOps maturity, model deployment capabilities, and scalability requirements for enterprise AI solutions

Solution Design & PoC Development

• Architect and oversee development of working proof-of-concepts (PoCs) that demonstrate AI solution viability and business impact
• Design API architectures and microservices patterns for AI model deployment and integration with existing enterprise systems
• Implement machine learning models and convert them into production-ready APIs using modern containerization and orchestration technologies
• Ensure PoCs demonstrate scalability, security, and performance characteristics required for enterprise deployment

Risk Management & Governance

• Collaborate with security professionals and compliance teams to identify and mitigate AI-related risks including data privacy, model bias, and regulatory compliance
• Develop AI governance frameworks and ethical AI principles tailored to client industry requirements (financial services, healthcare, manufacturing, retail)
• Design monitoring and observability systems for AI model performance, drift detection, and explainability requirements
• Create comprehensive risk assessment reports with mitigation strategies and implementation timelines

Deliverable Creation & Client Communication

• Author detailed technical architecture documents, implementation guides, and technology roadmaps for executive and technical audiences
• Present complex technical concepts and recommendations to C-level executives, translating technical constraints into business implications
• Develop comprehensive AI maturity scorecards and improvement roadmaps with prioritized implementation phases
• Create technical specifications for AI infrastructure, data pipelines, and integration patterns

Required Qualifications

Education & Experience

• Bachelor's or Master's degree in Computer Science, Engineering, or equivalent technical field
• 7+ years of experience in software architecture and enterprise system design
• 3+ years of specialized experience in AI/ML system architecture and implementation
• 2+ years of consulting experience or client-facing technical leadership roles

Technical Expertise

• Expert-level proficiency in Python, Java, or R with deep understanding of AI/ML frameworks (TensorFlow, PyTorch, Scikit-Learn)
• Extensive experience with cloud AI platforms (Azure AI Services, AWS AI/ML, Google Cloud AI) and their enterprise integration patterns
• Strong expertise in containerization and orchestration technologies (Docker, Kubernetes) for AI workload deployment
• Deep knowledge of data architecture, data governance, and MLOps frameworks for enterprise-scale AI implementations

AI & Domain Knowledge

• Comprehensive understanding of machine learning model lifecycle, from development to production deployment and monitoring
• Experience with vector databases (Pinecone, Milvus, Weaviate) and retrieval-augmented generation (RAG) architectures
• Knowledge of AI model explainability, bias detection, and responsible AI practices for regulated industries
• Understanding of enterprise data integration patterns, API design, and microservices architectures

Consulting & Communication Skills

• Proven ability to lead technical assessments and deliver actionable recommendations to executive leadership
• Strong presentation and communication skills with experience translating complex technical concepts for business stakeholders
• Experience managing client relationships and delivering consulting engagements within defined timelines and budgets
• Ability to work independently while collaborating effectively with cross-functional teams including product owners, data scientists, and business analysts

Preferred Qualifications

• Advanced degree in Computer Science, AI/ML, or related technical field
• Professional certifications in cloud platforms (Azure Solutions Architect, AWS Solutions Architect, Google Cloud Professional)
• Experience with specific industry verticals (financial services, healthcare, manufacturing, retail) and their AI compliance requirements
• Knowledge of enterprise architecture frameworks (TOGAF, Zachman) and their application to AI system design
• Experience with agile consulting methodologies and project management frameworks
• Previous experience with 8-week assessment engagements or similar time-boxed consulting deliverables

Success Metrics & Impact

• Client Satisfaction & Engagement Success: Achieve 90%+ client satisfaction scores on technical assessment quality and deliverable value
• Deliver 100% of 8-week assessments within scope, timeline, and budget constraints
• Generate 70%+ follow-on engagement rate through high-quality technical recommendations and roadmaps

Tools & Technologies

AI/ML Platforms & Frameworks

• TensorFlow, PyTorch, Scikit-Learn, Hugging Face
• Azure AI Services, AWS AI/ML, Google Cloud AI
• MLflow, Weights & Biases, Kubeflow
• Vector databases: Pinecone, Milvus, Weaviate, Chroma

Cloud & Infrastructure

• Microsoft Azure, Amazon Web Services, Google Cloud Platform
• Docker, Kubernetes, Terraform
• Git, GitHub, GitLab, Azure DevOps

Development & Integration

• Python, Java, R, SQL
• REST APIs, GraphQL, gRPC
• Apache Kafka, Apache Airflow
• Microservices architecture patterns

Consulting & Collaboration

• Microsoft Office Suite, Google Workspace
• Jira, Asana, Azure DevOps
• Slack, Microsoft Teams, Zoom
• Confluence, Notion, SharePoint

Seniorit y level

• Mid-Senior level

Employment type

• Contract

Industries

• Technology, Information and Internet

Remote Drafter (Software: Chief Architect) and other postings are listed below.

Required Skill Profession

Arquitectura Y Diseño De Software