Gen AI Engineer 100% Remote

Overview

Remote
Hybrid
$DOE
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent
Contract - 6

Skills

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Job Details

Gen AI Engineer
Location: 100% Remote

Job Description:

  • Understand organization's vision, goals, and strategies. Aligns department priorities appropriately, determines critical success factors, evaluates, and pursues initiatives based on fit with strategies.
  • Play an instrumental and influential role in driving Generative AI vision, strategy, and architecture.
  • Provide technical leadership and guidance to the Generative AI team.
  • Architect and deliver a container-based approach which makes app-hosting scalability effective.
  • Lead the overall GenAI integration process from ideation to delivery and operationalization.
  • Oversee the design, implementation, and maintenance of the CI/CD pipelines for GenAI solutions.
  • Define and deliver quality API access to multiple GenAI services.
  • Collaborate with key stakeholders to streamline the solution change management.
  • Monitor, optimize and troubleshoot production systems to ensure high performance.
  • Identify areas of opportunity to optimize tasks using AI-driven solutions.
  • Collaborate with data scientists, engineers, and designers to develop AI-powered tools and insights.
  • Promote best practices in GenAI through knowledge sharing and training programs.
  • Communicate GenAI architecture strategies and initiatives to business stakeholders and leadership.
  • Promote the value of GenAI and DevOps across the Commercial and BTS organizations.

Description:

  • 8+ Years of experience
  • Proven experience as an Enterprise Architect, Solution Architect, or a similar role, with a focus on AI/ML and generative AI.
  • Strong understanding of generative AI techniques, including deep generative models, autoregressive models, and reinforcement learning for generative tasks.
  • Hands-on experience of machine learning methodologies including advanced analytics tools (such as R and Python) along with applied mathematics, ML and Deep Learning frameworks and libraries (TensorFlow, PyTorch, Keras) and ML techniques.
  • Proven expertise with LLMs (Microsoft Azure Open AI Char GPT 4.0 and other LLM models) including API access for GenAI.
  • Proven expertise in CI/CD pipeline design and management in the Generative AI space including experience with LLMOPS.
  • Understanding of AI agents (both worker and orchestrator) to facilitate decisioning and deployment of complex applications.
  • Proven experience with Python development and troubleshooting code.
  • Strong knowledge of containerization and orchestration tools.
  • Experience with cloud platforms (AWS, Azure) and infrastructure as code.
  • Multi-year experience with AI and machine learning concepts and tools.

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