Job Objective:

We are looking for a Senior Solution Architect with 7+ years of experience designing and delivering enterprise-scale systems across cloud, distributed, and hybrid environments. This role bridges deep hands-on engineering with executive-level technical leadership, guiding cross-functional teams through complex architecture decisions while staying close to the code.

The ideal candidate combines strategic thinking with technical credibility — someone who can sketch an architecture on a whiteboard in the morning and review a pull request in the afternoon.

Responsibilities:

Architecture & Design

• Define end-to-end solution architectures for complex enterprise systems, ensuring alignment with business goals, scalability, security, and performance requirements.
• Create and own architecture blueprints, technical roadmaps, reference architectures, and design patterns.
• Lead technical design reviews and Architecture Decision Records (ADRs), driving consensus among engineering leads.
• Evaluate trade-offs across build vs. buy, on-premises vs. cloud, monolith vs. microservices, and synchronous vs. event-driven patterns.

Hands-On Engineering

• Actively contribute to codebases — prototype solutions, write proof-of-concept implementations, and validate architectural patterns through working code.
• Perform deep code reviews on critical components; set and enforce engineering standards, coding guidelines, and best practices.
• Design and implement integrations across systems using REST, GraphQL, gRPC, messaging queues, and event streaming platforms.
• Champion test-driven development, continuous integration, and DevSecOps practices across teams.

Cloud & Infrastructure

• Design multi-cloud and hybrid cloud solutions on AWS, Azure, and/or GCP with a focus on resiliency, observability, and cost optimization.
• Architect containerized workloads using Kubernetes, Helm, and service mesh technologies.
• Define infrastructure-as-code (IaC) strategies using Terraform, Pulumi, or CDK.

AI / ML Development & Integration.

• Architect and deliver end-to-end AI-powered systems: from data ingestion and model serving to production deployment, monitoring, and feedback loops.
• Design and implement LLM-based applications using frameworks such as LangChain, LlamaIndex, or similar — including RAG pipelines, prompt engineering, and context management strategies.
• Integrate AI/ML capabilities into existing enterprise systems via APIs and microservices, ensuring reliability, latency, and cost-efficiency at scale.
• Define MLOps architecture: model versioning, experiment tracking (MLflow, Weights & Biases), CI/CD for ML pipelines, and automated retraining workflows.
• Evaluate and select AI infrastructure components: vector databases (Pinecone, Weaviate, pgvector), embedding models, fine-tuning strategies, and GPU/TPU resource provisioning.
• Apply responsible AI principles: bias detection, explainability (SHAP, LIME), model governance, and compliance with emerging AI regulations.
• Stay current with frontier AI research and translate relevant advances into practical product opportunities (multimodal models, agentic frameworks, reasoning architectures).

Core Requirements:

• 7+ years of progressive software engineering and architecture experience, with at least 4 years in a solution or technical architect role.
• Proven track record delivering large-scale distributed systems to production (SaaS, B2B, or enterprise platforms).
• Experience leading architecture on projects with 5+ integrated systems or 50+ person engineering organizations.

Technical Skills:

• Proficiency in at least two backend languages: Java, Go, Python, .NET, Node.js, or Scala.
• Deep knowledge of distributed systems: CAP theorem, eventual consistency, saga patterns, CQRS, and event sourcing.
• Strong cloud expertise on AWS (preferred), Azure, or GCP — certifications are a plus.
• Mastery of API design, system integration patterns, and data modeling across relational, NoSQL, and streaming stores.
• Hands-on experience with Docker and Kubernetes at production scale.
• Familiarity with security architecture: zero-trust, OAuth 2.0/OIDC, secrets management, encryption.
• Hands-on experience building and deploying AI/ML systems in production: LLM orchestration, RAG architectures, vector search, and model serving (TensorFlow Serving, TorchServe, vLLM, or similar).
• Proficiency with AI/ML frameworks: PyTorch, TensorFlow, Hugging Face Transformers, LangChain, or LlamaIndex.
• Experience with cloud-native AI services: AWS SageMaker, Azure ML, or Vertex AI; and managed LLM APIs (OpenAI, Anthropic, Gemini).
• Native AI user: daily, fluent use of AI coding assistants and LLM APIs to design, prototype, and document; sets the team standard for responsible AI-augmented engineering.

Preferred:

• Experience in domain-driven design (DDD) and applying bounded contexts to large codebases.
• Deep background in data engineering, ML infrastructure, or real-time analytics platforms (Spark, Flink, dbt).
• Research-level familiarity with transformer architectures, fine-tuning (LoRA, QLoRA, RLHF), and agentic AI frameworks (AutoGen, CrewAI, LangGraph).
• Familiarity with TOGAF, C4 Model, or other enterprise architecture frameworks.
• Cloud certifications: AWS Solutions Architect Professional, GCP Professional Cloud Architect, or Azure Solutions Architect Expert.
• AI-specific certifications or publications: NeurIPS, ICML, ICLR papers, or equivalent peer-reviewed contributions.
• Experience in regulated industries: fintech, healthcare (HIPAA), or government (FedRAMP) — especially applying AI governance and model risk management.

Perks

Schedule: Monday to Friday, 9:00 am to 6:00 pmModality: Full-time, Mixed, Remote in Mexico

Salary: $100,000 MXN Net Monthly (Negotiable)

Benefits required by law

Major Medical Insurance

Life Insurance

Dental Insurance

Christmas Bonus

V.Two

V.Two (www.vtwo.co) is a global leader in creating and scaling digital businesses. Focused on innovation, agility, and transformative impact, V.Two partners with clients to deliver industry-leading solutions.

Website: https://vtwo.co/

Location: Remote in Mexico

Sueldo: $100,000.00 al mes

Beneficios:

• Seguro de gastos médicos
• Seguro de gastos médicos mayores
• Seguro de la vista
• Seguro de vida
• Trabajo desde casa

Lugar de trabajo: Empleo remoto