Gen AI Engineer 100% Remote

l Gen AI Engineer

Location: 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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