AI Architect - JR107496_9-7698

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Description**

**SUMMARY**: The AI Architect is responsible for designing and

delivering production-ready AI solutions across the organization. This

individual will manage a small team of AI Engineers and occasionally

flex roles from UX, front-end, and subject matter experts to create

innovative solutions that leverage machine learning for enterprise-wide

impact. The AI Architect will provide direct oversight of AI solution

design, infrastructure, and deployment using standardized coding best

practices. This position will mentor team members in technical

development and ensure alignment with business objectives in the K12 and

broader enterprise context. The AI Architect is deeply experienced,

passionate about applied AI, comfortable building end-to-end ML

pipelines in cloud environments, and able to set priorities and organize

the collaborative work of a small technical team. They will drive the

timely delivery of AI products directly linked to actionable business

decisions.

**ESSENTIAL FUNCTIONS**

**:** Reasonable accommodations may be made to enable individuals with

disabilities to perform the essential duties.

- Drives the conception, prototyping, and deployment of machine

learning models-particularly in natural language processing (NLP)

and recommender systems-across multiple product lines;

- Leverages AWS and Azure ecosystems, containerization, and

infrastructure-as-code tools to create and maintain production-ready

AI systems that can scale efficiently;

- Working from proof-of-concept through full productization, including

data ingestion, model training, deployment, monitoring for

performance drift, and iteration for continuous improvement;

- Informs, influences, and supports product decisions.

- Directly supervises 1-3 AI Engineers and occasional flex

contributors on specific projects. Provides guidance on coding best

practices, model development, and data governance;

- Works closely with Product, Engineering, IT Managers, Data Stewards,

and high-level executives to align AI initiatives with

organizational objectives. Ensures that AI solutions adhere to

governance and compliance requirements, including student data

privacy;

- Provides critical input and execution support, identifying practical

opportunities for applied AI to drive business outcomes;

- Ensures that AI deliverables are well-documented, reproducible, and

monitored for ongoing performance and data integrity. Partners with

governance teams and legal to adapt to evolving data privacy

regulations and responsible AI practices;

- Stays abreast of emerging trends and tools-such as large language

models-and evaluates their applicability. Advocates for robust

DevOps/MLOps, agile methodologies, and cross-functional

collaboration to maximize the impact of AI deployments;

- Aligns K12\'s AI capabilities with the needs of our schools & school

services teams that will drive the adoption and use of actionable

data to deliver improved outcomes;

- Identifies and defines strategic opportunities for leveraging data

science across other businesses and functions in support of K12\'s

mission, vision and long-term strategy;

- Demonstrates a passion for education and the K12 experience,

actively motivating and encouraging the same passion in employees.

**Supervisory Responsibilities:** Directly supervises 1 - 3 Full-time

Equivalent (FTE) regular employees and/or contractors. Carries out

supervisory responsibilities in accordance with the organization\'s

policies and applicable laws. Responsibilities include interviewing,

hiring, and training employees; planning, assigning, and directing work;

appraising performance; rewarding and disciplining employees; addre sing

complaints and resolving problems.

**MINIMUM REQUIRED QUALIFICATIONS**

**:**

- Bachelor\'s degree in Computer Science, Math, Physics, Engineering,

or related quantitative field AND

- Six (6) years\' related experience; OR

- Equivalent combination of education and experience

**Certificates and Licenses**: None required. Certifications such as AWS

Solutions Architect or Azure Solutions Architect are a plus but not

mandatory.

**OTHER REQUIRED QUALIFICATIONS:**

Experience designing and deploying machine learning models-especially

NLP and recommender systems-using Python and common ML libraries (e.g.,

PyTorch, TensorFlow, scikit-learn).

Proficiency with AWS, Azure, Docker, Kubernetes, and Terraform to build

scalable, secure, and high-performing environments.

High attention to detail and high level of accuracy.

Strong analytical skills.

Strong customer service orientation.

Professional integrity necessary to maintain confidentiality.

Strong planning skills and ability to manage multiple projects

simultaneously.

Excellent verbal and written communication skills.

Ability to complete assigned duties within critical deadlines.

Ability to work independently and in a team environment.

Proficient with Microsoft Office (Word, Excel,