AI Architect

Bounteous

full-time

Posted on: 10/13/2025

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $165,000 - $185,000 per year

Job Level

SeniorLead

Tech Stack

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchSparkSQLTensorflow

About the role

Design end-to-end AI architectures, including data pipelines, model development, deployment, monitoring, and integration into enterprise systems.
Leverage modern AI/ML frameworks (TensorFlow, PyTorch, Hugging Face, LangChain) and platforms (Databricks, Azure AI, AWS SageMaker, GCP Vertex AI).
Ensure solutions follow best practices for scalability, reliability, and responsible AI.
Define standards, reusable components, and accelerators to enable faster AI adoption.
Partner with client stakeholders to understand business challenges and translate them into AI-driven solutions.
Provide technical leadership in workshops, assessments, and architecture design sessions.
Clearly communicate complex AI concepts to various audiences.
Evangelize responsible AI practices, including governance, bias mitigation, and model transparency.
Guide and mentor delivery teams (data scientists, ML engineers, software engineers) in building and deploying AI solutions.
Oversee solution implementation to ensure alignment with architectural principles and business objectives.
Troubleshoot complex technical issues and provide hands-on problem-solving as needed.
Collaborate with strategy, data engineering, and product teams to ensure seamless integration of AI solutions.
Contribute to the growth of Bounteous’ data & AI practice by developing offerings, playbooks, and frameworks.
Stay ahead of emerging trends in AI/ML (generative AI, LLMs, computer vision, MLOps) and apply them to client use cases.
Represent Bounteous in industry forums, partner ecosystems, and thought leadership initiatives.

Requirements

10+ years of experience in data science, machine learning, and/or advanced analytics, 3+ in solution architecture or technical leadership roles.
Deep expertise in AI/ML frameworks and tools (PyTorch, TensorFlow, Hugging Face, LangChain, MLflow).
Strong knowledge of cloud-native AI/ML platforms (AWS, Azure, GCP, Databricks).
Hands-on experience with data architecture, pipelines, and integration (SQL, Python, Spark, APIs).
Proven ability to design and implement production-grade AI/ML solutions at enterprise scale.
Understanding of responsible AI practices: governance, fairness, security, and compliance.
Excellent communication and stakeholder engagement skills; the ability to translate technical solutions into business outcomes to a variety of audiences.
AI/ML certifications from major cloud providers and/or Databricks preferred.
Excellent organizational skills and a methodical approach to tasks.
Bachelor's degree and/or equivalent experience preferred.

Benefits

Bounteous is proud to be an equal opportunity employer.
Bounteous does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, physical or mental disability, national origin, veteran status, or any other status protected under federal, state, or local law.
Bounteous is willing to sponsor eligible candidates for employment visas.

Applicant Tracking System Keywords

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

Hard skills

data sciencemachine learningAI architecturedata pipelinesmodel developmentproduction-grade AI solutionsSQLPythonSparkAPIs

Soft skills

technical leadershipcommunicationstakeholder engagementmentoringproblem-solvingorganizational skillsmethodical approach

Certifications

AI/ML certificationscloud provider certificationsDatabricks certification