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Job Description
Summary As a Director of the AI software engineering group, you will lead the delivery of AI capabilities and applications from internal development teams and third parties. This role is heavily focused on executing and delivering AI software solutions on time, within budget and scope, and to the required quality standards. This role bridges partner execution, strategy, business needs, data science and operations to move AI solutions from concept to production.
You'll partner with product managers, AI software engineers, and security teams to ship reliable, compliant solutions while building a strong development culture. Expect to influence strategy, provide leadership in execution, shape standards and deliver AI solutions that make an impact. If you're unsure, apply.
- You will actively present leadership updates to GE Vernova executives and internal customers.
Utilize tools to track progress, identify key risk areas for specific implementations, and assist in resolving conflicting priorities through proactive communication with stakeholders about requirements and timelines.
Operate as an engaged AI leader who serves as a subject matter expert and technical expert for assigned programs and development initiatives.
- Bachelor's degree in Computer Science or a STEM field (Science, Technology, Engineering or Mathematics), with significant experience.
- 15+ years of experience in software engineering and AI/ML, with 8 years in a technical engineering, systems architecture, or principal-level role.
- 8+ years of experience leading and managing software engineering organizations.
- Cloud SaaS delivery experience
- Experience delivering commercial software products.
- Experience shipping AI applications with cost management.
- Experience managing other engineering managers.
- Demonstrated ability to engage, influence, and collaborate with senior executive stakeholders (VPs, Directors) across multiple distinct business units.
- Proven track record of leading large, complex, cross-functional engineering organizations with large groups of contractors in a high-growth, fast-paced environment.
- Experience deploying RAG pipelines in production environments.
- Strong systems-level thinking in decision-making and problem-solving.
- Experience working in global organizations.
- Experience with serverless technologies; including AWS AgentCore and Langchain.
Skills
AgileArchitectureAws ServicesComplianceLangchainAgile PrinciplesAi SolutionsRag PipelinesCost ManagementManagementIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
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