System One
Overview
Job Title: Sr Doman Architect Location: Washington, DC AI Architect
— Location: Reston, VA (Hybrid – onsite roughly once every 1–2 months); Duration: 12-Month Contract
About the Role
We’re seeking an experienced
AI Domain Architect
to help design and scale enterprise AI solutions in a modern
AWS environment . You’ll shape end-to-end architecture for AI/ML applications, guide data scientists and engineers through implementation, and ensure the reliability, performance, and scalability of next-generation AI systems.
What You’ll Do
Design and define AI/ML solution architecture, including
LLMs, vector databases, and prompt engineering
strategies.
Select and integrate the right
AWS services
(e.g.,
Bedrock, SageMaker, Kendra, Aurora, S3, Athena ) for scalable AI workloads.
Collaborate with cross-functional teams to align solutions with enterprise standards.
Stay ahead of
Generative and Agentic AI
trends and recommend practical applications.
Serve as a hands-on technical leader — mentoring, influencing, and guiding project teams.
What We’re Looking For
6+ years
of architecture experience, ideally with AI/ML-driven solutions.
2–3+ years
of experience designing or deploying solutions in AWS (Bedrock, SageMaker, or related).
Strong background in
data science or AI engineering
before transitioning into architecture.
Familiarity with
vector databases (e.g., Aurora, Kendra, MongoDB)
and prompt engineering concepts.
Excellent communication and leadership skills — able to collaborate across teams and present complex solutions clearly.
Nice to Have
Experience in the
healthcare domain
(not required).
Exposure to
Generative AI or Agentic AI
frameworks.
AWS or Systems Architect certifications.
#J-18808-Ljbffr
Job Title: Sr Doman Architect Location: Washington, DC AI Architect
— Location: Reston, VA (Hybrid – onsite roughly once every 1–2 months); Duration: 12-Month Contract
About the Role
We’re seeking an experienced
AI Domain Architect
to help design and scale enterprise AI solutions in a modern
AWS environment . You’ll shape end-to-end architecture for AI/ML applications, guide data scientists and engineers through implementation, and ensure the reliability, performance, and scalability of next-generation AI systems.
What You’ll Do
Design and define AI/ML solution architecture, including
LLMs, vector databases, and prompt engineering
strategies.
Select and integrate the right
AWS services
(e.g.,
Bedrock, SageMaker, Kendra, Aurora, S3, Athena ) for scalable AI workloads.
Collaborate with cross-functional teams to align solutions with enterprise standards.
Stay ahead of
Generative and Agentic AI
trends and recommend practical applications.
Serve as a hands-on technical leader — mentoring, influencing, and guiding project teams.
What We’re Looking For
6+ years
of architecture experience, ideally with AI/ML-driven solutions.
2–3+ years
of experience designing or deploying solutions in AWS (Bedrock, SageMaker, or related).
Strong background in
data science or AI engineering
before transitioning into architecture.
Familiarity with
vector databases (e.g., Aurora, Kendra, MongoDB)
and prompt engineering concepts.
Excellent communication and leadership skills — able to collaborate across teams and present complex solutions clearly.
Nice to Have
Experience in the
healthcare domain
(not required).
Exposure to
Generative AI or Agentic AI
frameworks.
AWS or Systems Architect certifications.
#J-18808-Ljbffr