Senior Solution Architect

Snowrelic Inc; Great Falls Crossing (VA); On-site; USD 102,000 - 122,000; Full time

Job summary

A leading technology firm is seeking a Senior Solution Architect with extensive experience in AI/ML and application development to lead technical projects for major clients like Fannie Mae. This position requires strong leadership skills and a deep understanding of solution architecture in a cloud environment, specifically AWS. Candidates should possess the ability to communicate complex AI concepts effectively to various stakeholders.

Qualifications

• 10+ years of experience in application development, 5-6 years in solution architecture.
• Preferred technical team leadership role.
• Experience with a cloud provider for at least 5 years.

Responsibilities

• Lead AI/ML solutioning and onboarding.
• Provide architectural guidance to development teams.
• Design and implement best-practice architectural patterns.

Skills

application development

solution architecture

systems architecture and engineering

AML Certs

AWS Architect

Tools

AWS Bedrock

SageMaker

Python

Shell

Job description

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Role : Senior Solution Architect

Location : Reston, VA

Skills :application development, solution architecture, systems architecture and engineering, AML Certs, AWS Architect

Role: Senior Solution Architect

Location: Reston, VA (Remote Not allowed)

client: Fannie Mae

Job Title

Senior Solution Architect

Domain Expertise

Gen AI, AI/ML Model Onboarding, AWS Bedrock, Agentic Configuration

10+ years of progressive hands-on experience in application development with 5-6 years of solution architecture, systems architecture and engineering, analysis and applications programming in AI related discipline. Technical team leadership role is preferred & A minimum of 5 years’ experience in working with a cloud provider.

AML Certs or AWS Architect

Cloud Platform

AWS (Bedrock), familiar with other cloud ecosystems optional

Application Development

Python, Shell scripting, Integration with ML models, Model Fine-tuning

Key Responsibilities

• Lead AI/ML solutioning and onboarding
• Work with dev teams for quick deployment
• Provide architectural guidance
• Design agentic GenAI solutions
• Design patterns: Implement & advocate best-practice software and architectural design patterns
  
  

Leadership

• Senior/Leadership role
• Drive solution direction
• Mentor teams
  
  

Communication Skills

Strong verbal & written communication

Can explain complex AI concepts to business & tech stakeholders

Problem-Solving

Ability to understand problems quickly and architect scalable, efficient solutions

AI/ML Workflow Knowledge

End-to-end understanding of ML lifecycle (data ingestion to model deployment)

GenAI Focus Areas

LLM Integration, Prompt Engineering, Fine-tuning, Agent orchestration

Industry Awareness

Up-to-date with trends in AI/ML, domain-specific solutioning

Tools/Frameworks

• AWS Bedrock, SageMaker
• LangChain (optional)
• Python, Shell (solid knowledge but not expecting hands on as dev teams will be taking care of it)
  
  

Collaboration

Cross-functional teams: App Dev, Data Science, Product, DevOps

Interview mode

Onsite

Onsite/ remote

Hybrid (M,T,W)

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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