Design cloud-native AI and data solution architectures, including reference patterns, data flows, AI/ML workflows, and LLM orchestration that balance scalability, security, cost, and speed to value.
Translate AI and data architectures into clear diagrams, executive-ready narratives, visuals, and roadmaps for technical and non-technical stakeholders.
Advise clients on AI strategy, build-vs-buy decisions, governance, and ethical considerations.
Integrate and orchestrate data across multiple platforms, including cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks) and external APIs
Collaborate with ML Engineers and Data Engineers to validate architectural alignment and integration feasibility.
Conduct architecture reviews and risk assessments; identify and execute course corrections as needed.
Architect AI solutions that leverage LLMs and RAG patterns to deliver interpretable insights and human-readable outputs from complex model results.
Mentor junior architects and consultants; contribute to reusable accelerators, templates, and an internal knowledge base.
Provide technical oversight across multiple client engagements, ensuring architectural consistency, delivery quality, and alignment between business requirements and implemented solutions.
Provide hands-on guidance to engineering and data teams on API integrations, data pipelines, and AI service connectivity, ensuring solutions are scalable, secure, and maintainable.
Stay current on emerging AI platforms, LLM tooling, and cloud-based data services, continuously evaluating how they can enhance our integration capabilities.

Requirements

8+ years in solution architecture, data engineering, or software engineering roles; 3+ years architecting AI/ML solutions in production.
Proven experience designing modern, cloud-native AI solutions and integrations across AWS, Azure, or GCP, including data platform integration, LLM orchestration, and secure API connectivity.
Hands-on experience with at least two of the following:
- Deep-learning frameworks (TensorFlow, PyTorch, JAX).
- NLP/LLM stacks (Hugging Face, LangChain, vector databases, RAG patterns).
- Computer-vision pipelines (OpenCV, TorchVision).
- AutoML & orchestration (Vertex AI, SageMaker, MLflow, Kubeflow, Airflow).
- Solid grounding in data modeling, API design (REST/GraphQL), containerization (Docker, Kubernetes), and IaC (Terraform, CloudFormation, or Pulumi).
Exceptional communication skills—able to whiteboard with engineers in the morning and brief the C-suite in the afternoon.
Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
Consulting or professional-services experience

Benefits

Offers Bonus
In addition to the base salary, there is typically an annual bonus of between 15-25% of salary.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

solution architecturedata engineeringsoftware engineeringAI/ML solutionscloud-native solutionsdata modelingAPI designcontainerizationIaCdeep-learning frameworks

Soft Skills

exceptional communication skillsmentoringcollaborationtechnical oversightadvising clients