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AI Software Architect - Consulting Solutions

Halo MediaCiudad de México, Ciudad de México, Mexico

Hace 3 días

Tipo de contrato

Teletrabajo

Descripción del trabajo

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.

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