Digital Platform Architect - Remote Job at Scale AI in Washington DC

Qualifications

• 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role
• ~ Proficient in one or more modern programming languages (Python, JavaScript/TypeScript)
• ~ Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure)

Benefits

• ~ Experience in executive level engagement with industry partners and Public Sector customers Successful demonstration of agentic AIs mission value in high-stakes customer demonstrations Establish high velocity, agile engineering cadence both internally and with our industry partners Secure follow-on contract award with expanded scope for Scale Compensation packages at Scale for eligible roles include base salary, equity, and benefits
• The base salary range for this full-time position in Washington, DC is $257,000 $321,000 USD
• Youll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO
• Equity-based compensation is subject to Board approval and details will be shared by your recruiter during the hiring process

Responsibilities

• Youll be responsible for high-impact architectural decisions, cross-company collaboration, and executive level engagements
• Strategic Planning & Communication: Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities

Full Description

Principal Architect & Technical Team Lead We are seeking a Principal Technical Team Lead to drive the design, development, and deployment of our agentic AI products in a fast-paced, collaborative, extremely high-visibility environment.

Youll be responsible for high-impact architectural decisions, cross-company collaboration, and executive level engagements.

Strategic Planning & Communication: Provide regular updates to senior leadership and key stakeholders on progress, risks, and opportunities. 10+ years of software engineering experience, including 5+ years in a technical leadership or staff role. ~ Proficient in one or more modern programming languages (Python, JavaScript/TypeScript). ~ Hands-on experience with Kubernetes and cloud infrastructure (AWS, GCP, or Azure). ~ Experience in executive level engagement with industry partners and Public Sector customers Successful demonstration of agentic AIs mission value in high-stakes customer demonstrations Establish high velocity, agile engineering cadence both internally and with our industry partners Secure follow-on contract award with expanded scope for Scale Compensation packages at Scale for eligible roles include base salary, equity, and benefits.

The base salary range for this full-time position in Washington, DC is $257,000 $321,000 USD .

Youll also receive benefits including, but not limited to: comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO.

Equity-based compensation is subject to Board approval and details will be shared by your recruiter during the hiring process.

PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role.

At Scale, we believe that the transition from traditional software to AI is one of the most important shifts of our time.

Our products power the world's most advanced LLMs, generative models, and computer vision models.

We are trusted by generative AI companies such as OpenAI, Meta, and Microsoft, government agencies like the U.

We are expanding our team to accelerate the development of AI applications.

We are proud to be an inclusive and equal opportunity workplace and are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.

We provide reasonable accommodations to applicants with disabilities.

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Any information we collect will be treated in accordance with our privacy policy. #