GenAI Platform Engineer III - AWS AI Solutions

PowerToFly

United States

On-site

USD 113,000 - 188,000

Full time

8 days ago

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Job summary

Deloitte is seeking a Data Management Engineer III for the GPS practice to deploy scalable AI on AWS and lead project workstreams. You will train models, collaborate with cross-functional teams, and document insights for stakeholders. A TS/SCI with Poly clearance and on-site work in Chantilly, VA are required.

Required are a Bachelor's degree, CompTIA Security+, AWS AI Practitioner, Bedrock experience, and 3+ years in AI engineering with AWS deployments. Travel up to 25% may be needed.

Qualifications

  • Bachelor's degree required.
  • CompTIA Security+ and AWS Practitioner certifications are required.
  • Onsite daily at the client site in Chantilly, VA.
  • 1+ years of Bedrock experience; 3+ years AI engineering with Generative AI and AWS deployments.
  • Active TS/SCI with Poly security clearance; U.S. work authorization without sponsorship.

Responsibilities

  • Gather client requirements and provide technical guidance for deployment of scalable AI on AWS.
  • Train, fine-tune, and develop Generative AI models using advanced techniques.
  • Collaborate with engineers, analysts, and clients to drive project growth.
  • Create documentation and presentations to communicate data-driven insights.
  • Stay current with AI advances to continually innovate solutions.

Skills

Strong communication skills
Leadership / project management
Team collaboration
Attention to detail
Ability to travel

Education

Bachelor's degree

Tools

Bedrock
AWS

Job description

Deloitte is seeking a Data Management Engineer III for the GPS practice to deploy scalable AI on AWS and lead project workstreams. You will train models, collaborate with cross-functional teams, and document insights for stakeholders. A TS/SCI with Poly clearance and on-site work in Chantilly, VA are required.

Required are a Bachelor's degree, CompTIA Security+, AWS AI Practitioner, Bedrock experience, and 3+ years in AI engineering with AWS deployments. Travel up to 25% may be needed.

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